ml-explore / ml-explore/mlx-examples
Can we integrate schedule free learning rate over epochs from Meta research into MLX fine tuning?
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
- No merged PRs in 30d
Description
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
Start by reading the linked Meta Research schedule_free project and locating the MLX fine-tuning entry points; the issue names no files or tests. Define which fine-tuning workflows and training configurations should support the schedule-free approach, then validate the integration with suitable training checks and documentation.
Written by the indexing model from the issue text.
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