Operating System
Deployment Method
CUDA Usage
Training Process Details (if applicable)
Model:QWen2.5-1.5B-Instruct
Machine Base config: RAM 192GB,24GB VRAM(4090)
Second-Me version
179c52e (HEAD -> master, tag: v1.0.1, origin/master, origin/HEAD)
Describe the bug
always break training,show "resume training" button.but click that button, show same logs

2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [INFO] train.py:200 - Initializing training with memory optimizations
2025-05-25 17:31:30 [INFO] train.py:204 - Applying memory optimizations to training configuration
2025-05-25 17:31:30 [INFO] train.py:234 - Loading model with automatic memory management from /app/resources/L2/base_models/Qwen2.5-1.5B-Instruct
2025-05-25 17:32:00 [INFO] train.py:286 - Enabling gradient checkpointing for memory efficiency
Current Behavior
see
Expected Behavior
see
Reproduction Steps
see
Possible Workaround
No response
Additional Information
No response
Link to related Github discussion or issue
No response
Operating System
Deployment Method
CUDA Usage
Training Process Details (if applicable)
Model:QWen2.5-1.5B-Instruct
Machine Base config: RAM 192GB,24GB VRAM(4090)
Second-Me version
179c52e (HEAD -> master, tag: v1.0.1, origin/master, origin/HEAD)
Describe the bug
always break training,show "resume training" button.but click that button, show same logs
2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025-05-25 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025-05-25 17:31:30 [INFO] train.py:200 - Initializing training with memory optimizations
2025-05-25 17:31:30 [INFO] train.py:204 - Applying memory optimizations to training configuration
2025-05-25 17:31:30 [INFO] train.py:234 - Loading model with automatic memory management from /app/resources/L2/base_models/Qwen2.5-1.5B-Instruct
2025-05-25 17:32:00 [INFO] train.py:286 - Enabling gradient checkpointing for memory efficiency
Current Behavior
see
Expected Behavior
see
Reproduction Steps
see
Possible Workaround
No response
Additional Information
No response
Link to related Github discussion or issue
No response