* skip failing tests until #26054 is merged

* fixup

* fix `set_infilling_processor` to properly reset

* Add docstring!

* fixups

* more details in the docuemtation about the tokenization

* styl;e

* docs: ko-llama.md

* fix: chatgpt draft

* feat: manual edits

* fix: resolve suggestions

* Ignore warning if tracing with dynamo

* fix import error

* separate to function

* add test

* add missing doc for activation dropout

* fix doc for SEW-D dropout

* deprecate hidden_dropout for SEW-D

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.

* fix loss inconsistent after resume  #25340

* fix typo

* clean code

* reformatted code

* adjust code according to comments

* adjust check_dataloader_randomsampler location

* return sampler only

* handle sampler is None

* Update src/transformers/trainer_pt_utils.py

thanks @amyeroberts

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix typo

* Fix vilt config init parameter to match the ones in documentation

* Fix the documentation

* 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

* fix tokenizer

* make bs even

* fix multi gpu test

* style

* model forward

* fix torch import

* revert tok pin

* Add tgs metrics

* bugfix and black formatting

* workaround for tokens counting

* formating and bugfix

* Fix

* Add opt-in for tgs metrics

* make style and fix error

* Fix doc

* fix docbuild

* hf-doc-build

* fix

* test

* Update src/transformers/training_args.py

renaming

Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Update src/transformers/training_args.py

renaming

Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Fix some symbol

* test

* Update src/transformers/trainer_utils.py

match nameing patterns

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/training_args.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/trainer.py

nice

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix reviews

* Fix

* Fix black

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Co-authored-by: Zach Mueller <muellerzr@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix err

* Use version check

* 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>

Remove falcon from undocumented list

* docs: ko: llm_tutoroal.md

* feat: chatgpt draft

* fix: manual edits

* fix: resolve suggestions

* fix: resolve suggestions

* fix some samll bugs in readme

* Update docs/README.md

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* stash commit

* More OPT updates

* Update src/transformers/models/opt/modeling_tf_opt.py

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix revision propagation

* Cleaner

fixed a typo

* fix convert megatron model too large

* fix convert megatron model too large

* add: potential fix to mega chunking in decoder only model bug

* add: decoder with chunking test

* add: input_mask passed with input_ids

* revision did not exist

* correct revision

* start with error too

* fix ?

* start with nit

* one more path

* use `job_name`

* mark pipeline test as slow

* 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>

* [Wav2Vec2 Conformer] Fix inference float16

* fix test

* fix test more

* clean pipe test

deepspeed resume from ckpt fixes and adding support for deepspeed optimizer and HF scheduler (#25863)

* 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

* Add TFDebertaV2ForMultipleChoice

* Import newer model in main init

* Fix import issues

* Fix copies

* Add doc

* Fix tests

* Fix copies

* Fix docstring

* no_split_modules

* no_split_modules

* inputs_embeds+pos same device

* update _no_split_modules

* update _no_split_modules

* patch with accelerate xpu

* patch with accelerate xpu

* formatting

* fix tests

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* fix test

* review fixes

* review fixes

* black fixed

* review commits

* review commits

* style fix

* use pytorch_utils

* revert markuplm test

* update

* update

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

Update README.md with correct path to examples/seq2seq

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>