Lightning-AI / Lightning-AI/litgpt
[Feature Request] Restore from Checkpoint
Open
Nobody has claimed this yet.
enhancement
fine-tuning
- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.5k
- Avg merge
- 15h 37m
- Merged PRs (30d)
- 1
Description
It would be nice to have a --restore_from_checkpoint flag for the common case in which a model fails after many iterations of training.
Thanks!
Griffin
Contributor guide
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
The issue names no files, tests, or entry points. Start by locating the training CLI and existing checkpoint handling, then determine how a --restore_from_checkpoint flag should select and resume a saved checkpoint. Done means the flag works for the stated failed-training case and is covered by relevant tests.
Written by the indexing model from the issue text.
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