GitLab

* docs: change assert to raise and some small docs

* docs: add rule and some document

* fix: fix bug

* fix: fix bug

* chorse: revert logging

* chorse: revert

* feat: adding num_proc to load_dataset

* feat: add add_num_proc for run_mlm_flax

* feat: add num_proc for bart and t5

* chorse: remove

Fixed a few typos

* refactor: change default block_size when not initialize

* reformat: add the min of block size

* docs: add space to docs

* docs: remove reduntant space

fixed a typo

Update README.md with correct path to examples/seq2seq

* Update feature_extraction_clap.py

* changed all lenght to length

* Revert frozen training arguments

* TODO

* move deepspeed to `lib_integrations.deepspeed`

* more refactor

* oops

* fix slow tests

* Fix docs

* fix docs

* addess feedback

* address feedback

* final modifs for PEFT

* fixup

* ok now

* trigger CI

* trigger CI again

* Update docs/source/en/main_classes/deepspeed.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* import from `integrations`

* address feedback

* revert removal of `deepspeed` module

* revert removal of `deepspeed` module

* fix conflicts

* ooops

* oops

* add deprecation warning

* place it on the top

* put `FutureWarning`

* fix conflicts with not_doctested.txt

* add back `bitsandbytes` module with a depr warning

* fix

* fix

* fixup

* oops

* fix doctests

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

feat: correct update resume update with steps

* Update the TF pin and see if anything breaks

* make fixup

* make fixup

* make fixup

* Make training args fully immutable

* Working tests, PyTorch

* In test_trainer

* during testing

* Use proper dataclass way

* Fix test

* Another one

* Fix tf

* Lingering slow

* Exception

* Clean

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.2...v6.3.3

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Bump tornado in /examples/research_projects/visual_bert

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.2...v6.3.3

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Bump gitpython in /examples/research_projects/decision_transformer

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.30 to 3.1.32.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.30...3.1.32

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Bump gitpython in /examples/research_projects/distillation

Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.30 to 3.1.32.
- [Release notes](https://github.com/gitpython-developers/GitPython/releases)
- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)
- [Commits](https://github.com/gitpython-developers/GitPython/compare/3.1.30...3.1.32

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* Update run_translation.py

Fixed link

* Update run_translation.py

* add missing tokens

* fix

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

* Load else

* New approach

* Propagate

chorse: adding new doc on train and val

* pytorch examples

* pytorch mim no trainer

* cookiecutter

* flax examples

* missed line in pytorch run_glue

* tensorflow examples

* tensorflow run_clip

* tensorflow run_mlm

* tensorflow run_ner

* tensorflow run_clm

* pytorch example from_configs

* pytorch no trainer examples

* Revert "tensorflow run_clip"

This reverts commit 261f86ac1f1c9e05dd3fd0291e1a1f8e573781d5.

* fix: duplicated argument

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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

* pytorch examples

* tensorflow examples

* flax examples

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

* make run_generation more generic for other devices

* use Accelerate to support any device type it supports.

* make style

* fix error usage of accelerator.prepare_model

* use `PartialState` to make sure everything is running on the right device

---------
Co-authored-by: statelesshz <jihuazhong1@huawei.com>

* Fix .push_to_hub and cleanup get_full_repo_name usage

* Do not rely on Python bool conversion magic

* request changes

Bump certifi in /examples/research_projects/visual_bert

Bumps [certifi](https://github.com/certifi/python-certifi) from 2022.12.7 to 2023.7.22.
- [Commits](https://github.com/certifi/python-certifi/compare/2022.12.07...2023.07.22

)

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Bump certifi from 2022.12.7 to 2023.7.22 in /examples/research_projects/decision_transformer (#25098)

Bump certifi in /examples/research_projects/decision_transformer

Bumps [certifi](https://github.com/certifi/python-certifi) from 2022.12.7 to 2023.7.22.
- [Commits](https://github.com/certifi/python-certifi/compare/2022.12.07...2023.07.22

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Bump certifi in /examples/research_projects/lxmert

Bumps [certifi](https://github.com/certifi/python-certifi) from 2022.12.7 to 2023.7.22.
- [Commits](https://github.com/certifi/python-certifi/compare/2022.12.07...2023.07.22

)

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replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size` in readme of multiple-choice task (#25078)

replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size`
in readme of multiple-choice

Change logic

Bump aiohttp in /examples/research_projects/decision_transformer

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.8.1 to 3.8.5.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/v3.8.5/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.8.1...v3.8.5

)

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Bump pygments in /examples/research_projects/decision_transformer

Bumps [pygments](https://github.com/pygments/pygments) from 2.11.2 to 2.15.0.
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](https://github.com/pygments/pygments/compare/2.11.2...2.15.0

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* replace no_cuda with use_cpu in test_pytorch_examples

* remove codes that never be used

* fix style

* Add text classification example

* set the problem type and finetuning task

* ruff reformated

* fix bug for unseting label_to_id for regression

* update README.md

* fixed finetuning task

* update comment

* check if label exists in feature before removing

* add useful logging