facebookresearch / facebookresearch/sam3

Memory Leakage Problem?

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Dominant language
Python
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Description

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When I tried to fine-tune the model with a large annotation set (about 2M), memory usage gradually increased during the training process. Ultimately, the process was exploded.

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Research direction

The report names no file, test, or entry point. Start by reproducing fine-tuning with an annotation set of about 2M and monitor memory over the training process. Done means identifying why memory grows and confirming that the process completes without being terminated.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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