Megvii-BaseDetection / Megvii-BaseDetection/DynamicRouting
FloatingPointError: Loss became infinite or NaN at iteration=5593
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- Dominant language
- Python
- Stars
- 380
- Forks
- 45
- PR merge metrics
- No merged PRs in 30d
Description
It seems that the loss is too large. I used only 1 gpu to train and set batchsize to 1, and I did not change any other configs. I have tried to set learning rate to 1e-3 and 1e-4, but this error still happen.
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Research direction
No files, tests, or entry points are named. Start by reproducing training with one GPU, batch size 1, and the reported learning rates, then inspect the training and loss behavior near iteration 5593; done means the NaN or infinite loss has an identified cause and a verified resolution.
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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
- 25/100