Modify efficient GPU training doc with now-available adamw_bnb_8bit optimizer#25807
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amyeroberts merged 2 commits intohuggingface:mainfrom Aug 31, 2023
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cc @younesbelkada for BNB related stuff 🙏 |
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This looks good, thanks, I left one question!
cc @SunMarc as well
stevhliu
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Thanks, I left some suggestions to make it more concise!
Co-authored-by: Steven Liu <[email protected]>
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Thanks @stevhliu for the suggestions! |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. |
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…ptimizer (huggingface#25807) * Modify single-GPU efficient training doc with now-available adamw_bnb_8bit optimizer * Apply suggestions from code review Co-authored-by: Steven Liu <[email protected]> --------- Co-authored-by: Steven Liu <[email protected]>
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What does this PR do?
The documentation for efficient single-GPU training previously mentioned that the
adamw_bnb_8bitoptimizer could only be integrated using a third-party implementation. However, this is now available in Trainer directly as a result of this issue and corresponding PR.I think it's valuable to keep the 8-bit Adam entry in the documentation as it's a significant improvement over Adafactor. And I also think it's valuable to keep the sample integration with a third-party implementation of an optimizer for reference purposes. I have adjusted the documentation accordingly.
I was able to validate myself that both approaches, using Trainer directly with the
optimflag and doing the third-party integration still appear to work when fine-tuning small LLMs on a single GPU.Before submitting
Pull Request section?
to it if that's the case.
documentation guidelines, and
here are tips on formatting docstrings.
Who can review?
@stevhliu and @MKhalusova