* intiial commit
* updates
* nits
* update conversion script
* update conversion script
* use path to load
* add tips etc
* some modeling logic
* modeling update
* more nits
* nits
* normal layer norm
* update config and doc
* nits
* update doc remove unused
* update
* fix inits and stuff
* fixup
* revert wrong changes
* updates
* more nits
* add default config values to the configuration file
* fixup happy
* update
* 2 tests left
* update readmes
* more nits
* slow test and more documentation
* update readme
* fix licences
* styling
* use fast if possible when saving tokenizer
* remove todo
* remove tokenization tests
* small last nits
* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* nits to skip the timout doctest
* fix integration test
* fix test
* update eos token
* update to allow fast tokenization
* styling
* fix codeLlama as well for the update post processor
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add more copied from statements
* update
* doc passes doctest
* remove `# final layer norm?`
* change docstring prompot
* update
* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* don't doctest the conversion script as it requires more packages
* don't init a model in the config
* oups
* fix doctest
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Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
This commit corrects the dropout implementation in Graphormer, aligning it with the original implementation and improving performance. Specifically:
1. The `attention_dropout` variable, intended for use in GraphormerMultiheadAttention, was defined but not used. This has been corrected to use `attention_dropout` instead of the regular `dropout`.
2. The `activation_dropout` for the activations in the feed-forward layers was missing. Instead, the regular `dropout` was used. This commit adds `activation_dropout` to the feed-forward layers.
These changes ensure the dropout implementation matches the original Graphormer and delivers empirically better performance.
* Added HerBERT to README.md
* Update README.md to contain HerBERT (#26016)
* Resolved#26016: Updated READMEs and index.md to contain Herbert
Updated READMEs and ran make fix-copies
* add new arg for gptq
* add tests
* add min version autogptq
* fix order
* skip test
* fix
* Update src/transformers/modeling_utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* fix style
* change model path
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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* docs: feat: model resources for llama
* fix: resolve suggestion
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
* Add support for deepspeed optimizer and HF scheduler
* fix bug
* fix the import
* fix issue with deepspeed scheduler saving for hf optim + hf scheduler scenario
* fix loading of hf scheduler when loading deepspeed checkpoint
* fix import of `DeepSpeedSchedulerWrapper`
* add tests
* add the comment and skip the failing tests
* address comment
This cl iterates through a list of keys rather than dict items while updating the dict elements. Fixes the following error:
File "..../transformers/training_args.py", line 1544, in post_init
for k, v in self.fsdp_config.items():
RuntimeError: dictionary keys changed during iteration
