Question about fine-tuning
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- Dominant language
- Python
- Stars
- 681
- Forks
- 53
- PR merge metrics
- No merged PRs in 30d
Description
Firstly, thank you for your great effort to make this project.
When will the fine-tuning code be released? If it's delayed, could you please let me know the learning rate used in the end-to-end training? I've tried to reimplement the fine-tuning using the model output logits, but while the train loss decreases, the evaluation loss keeps increasing.
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
No files, tests, or entry points are named. Start by reviewing the repository's fine-tuning and end-to-end training material, then check how model output logits and learning-rate configuration are documented. The issue does not define a concrete code change or a clear completion criterion.
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
- 20/100