finetuning loss
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- Python
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Description
在finetune代码中，<|Human|>部分也加入了loss的计算，想请教下这样相比conditioning language modeling loss有什么特别的好处吗？
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the finetune code mentioned in the issue and identify how loss is calculated for the <|Human|> section versus conditioning language modeling loss. Compare the two training objectives and document the practical trade-offs; the issue is complete when the distinction and benefits are explained clearly.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100