@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年05月25日 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025年05月25日 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025年05月25日 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025年05月25日 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025年05月25日 17:31:30 [WARNING] chroma_utils.py:60 - Unknown embedding model: text-embedding-v3, defaulting to 1536 dimensions
2025年05月25日 17:31:30 [INFO] embedding_service.py:30 - Detected embedding dimension: 1536 for model: text-embedding-v3
2025年05月25日 17:31:30 [INFO] train.py:200 - Initializing training with memory optimizations
2025年05月25日 17:31:30 [INFO] train.py:204 - Applying memory optimizations to training configuration
2025年05月25日 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年05月25日 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