lllyasviel / lllyasviel/ControlNet
Should I scale up the learning rate with batch size?
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- Python
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Description
If I can afford to train at batch size of 64 with optional gradient accumulation, should I increase the loss in accordance?
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- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no file, test, or entry point. Start by locating the project’s training documentation and configuration for batch size and gradient accumulation, then define and document the expected guidance for the batch-size-64 scenario.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100