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break with "Resume Training" ,cannot finish #375

@anthony-zg

Description

@anthony-zg

Operating System

  • macOS
  • Linux
  • Windows

Deployment Method

  • Docker
  • non-Docker

CUDA Usage

  • Yes
  • No

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

Image

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

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