Fine-tune on Bibles in various languages to transfer learn into NLLB
Open
Nobody has claimed this yet.
needs to be revisited
research
- Dominant language
- Python
- Stars
- 39
- Forks
- 7
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 5
Description
The first round of research was not too positive, but more is needed to fully test this path out. It appears that SILNLP may also be broken for fine tuning on multiple language pairs.
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 existing fine-tuning pipeline and reproducing the reported behavior with Bible data across multiple language pairs. Done means establishing whether SILNLP supports this experiment reliably and documenting the results or the required direction for further work.
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