How to implement weight decay towards the pre-trained model?
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Description
Hello, let me one question.
If using FastChat for supervised fune-tuning, how do I implement penalizing the distance between starting and current weights? This was shown to be effective in https://arxiv.org/abs/1706.03610
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The issue names no file, test, or entry point. Start by locating FastChat's supervised fine-tuning implementation and compare it with the cited paper; the payload does not define a completion criterion for the requested weight penalty.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100