Lightning-AI / Lightning-AI/pytorch-lightning
Feature for Training Sentence Transformer Model
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feature
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- Dominant language
- Python
- Stars
- 31.4k
- Forks
- 3.8k
- Avg merge
- 6d 7h
- Merged PRs (30d)
- 6
Description
### Description & Motivation
Currently we cant train a sentence transformer model, it throws an error, can we have support for this as well so that we can train the model more effectively and use all gpus?
Sentence Transformer Library : https://github.com/UKPLab/sentence-transformers/tree/master
### Pitch
_No response_
### Alternatives
_No response_
### Additional context
_No response_
cc @borda
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 reproducing the training error with the linked sentence-transformers library and define support for training and use of all GPUs as the completion criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100