GitLab

* fix no sequence length models error

* block size check

---------

Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

* docs: replace torch.distributed.run by torchrun

 `transformers` now officially support pytorch >= 1.10.
 The entrypoint `torchrun`` is present from 1.10 onwards.
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>

* Update src/transformers/trainer.py

with @ArthurZucker's suggestion
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Renamed variable extension to builder_name

* If builder name is jsonl change to json to align with load_datasets

* Apply suggestions from code review
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

---------
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

fixed the broken links belogs to dataset library of transformers

* Remove the torch main_process_first context manager from TF examples

* Correctly set num_beams=1 in our examples, and add a guard in GenerationConfig.validate()

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

fix max pos issue

Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

Fix test

* fix

* [test-all] commit

* fix

* [test-all] commit

* [test-all] commit

* fix

* fix

* fix

* fix

* fix

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

* dvclive trainer callback

* style fixes

* dvclive link fixes

Change thresh

Unused param

* Fix example tests from failing

* CHange thresh

move example of benchmarking to legacy

typo fix flag config

* Normalize only if needed

* Update examples/pytorch/image-classification/run_image_classification.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* if else in one line

* within block

* one more place, sorry for mess

* import order

* Update examples/pytorch/image-classification/run_image_classification.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/pytorch/image-classification/run_image_classification_no_trainer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* fix logit to multi-hot converstion

* add comments

* typo

Add missing spaces in adjacent strings

checkpoint path

* refactor: change default block_size

* fix: return tf to origin

* fix: change files to origin

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* refactor: add min block_size to files

* reformat: add min block_size for run_clm tf

* 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

* docs: add space to docs

* docs: remove reduntant space

* Update feature_extraction_clap.py

* changed all lenght to length

* Revert frozen training arguments

* TODO

feat: correct update resume update with steps

* 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

* 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