Lightning-AI / Lightning-AI/lit-llama
To mask or not to mask?
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- Dominant language
- Python
- Stars
- 6.1k
- Forks
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Description
I am not understanding the conceptual usefulness of masking out the prompt.
I have seen that there is a comment in scripts/prepare_alpaca.py that says:
mask_inputs: bool = False, # as in alpaca-lora
Is it recommended when fine-tuning with lora? Is there some benefit elsewhere?
Contributor guide
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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 with the mask_inputs option and its comment in scripts/prepare_alpaca.py. Review how prompt masking is used during LoRA fine-tuning and document when it is recommended, including the relevant trade-offs. Done means the repository clearly explains whether masking should be enabled and why.
Written by the indexing model from the issue text.
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
- 25/100