Finetuning a pretrained checkpoint
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Description
Right now, the training scripts only allow for resuming a training run from a previous step.
I see from the code that trainers have a from_finetuned method, which is not used anywhere. Is there a straightforward way to use the provided safetensors files for finetuning ?
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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 reading the training scripts and locating the trainers' from_finetuned method. Then trace how the provided safetensors files are loaded and how resuming from a previous step is currently handled. Done means establishing a documented, working path for finetuning from a pretrained checkpoint, with the relevant training behavior verified.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100