microsoft / microsoft/LLMLingua
[Question] Compressor fine-tune
@QianhuiWu is already working on this.
Since Mar 22, 2024.
- Dominant language
- Python
- Stars
- 6.7k
- Forks
- 428
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 1
Description
Describe the issue
Greetings,
Are there any plans on releasing instructions or at least the dataset format so we can fine-tune the llmlingua-2-xlm-roberta-large-meetingbank or the base xlm-roberta-large into a custom compressor? If not, can you at least give some general instructions on how could we approach this issue?
Of course having a pipeline ready to simply plug the data and fine-tune the models would be amazing for simplicity sake, but it would be nice if we had more generalist and practical information on the process.
Thank you!
Contributor guide
No contributing guide indexed for this repository
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.
Assessment
This issue has not been assessed yet.