GitLab

* add inference example to LayoutLMv2ForQuestionAnswering, passing doctest

* add loss example to LayoutLMv2ForQuestionAnswering, passing doctest

* Add correct doctest for LayoutLMv2ForTokenClassification, passing doctest

* add correct doctest for LayoutLMv2ForSequenceClassification, passing test

* add correct doctest for LayoutLMv2Model, passing test

* make fixup

* fix to address review comments

* make style

* fix doctest line break issue, add to documentaiton_tests.txt, address review comments

* move comment about layoutlmv2 dependencies to the doc page

* format doc page as suggested
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* average loss over batches and accumulated steps for tracking

* fix layernorm weight decay

* use AdamW from Pytorch instead of Transformers

* add shuffling of sequences inside the batches

* add shuffling of sequences inside the batches

* add logging dir and reformat code

* fix lr tracking

* remove Mistral scaling

* keep Mistral scaling

* reformat code

* fix error

* fix error

* use shuffling function from Pytorch

* remove argument for shuffling batch sequences as it isn't optional

* update package versions and install accelerate from source

* remove unused package

* Update loss average over accumulated steps
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update loss average over accumulated steps
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* use one shuffle buffer argument

* compute avg_loss in one line
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Pin dill for now

* Try this version?

* force install

* Actually use dep in testing

* Try a larger pin

* up

* up

* [Draft] fix transition probs

* up

* up

* up

* make it work

* fix

* finish

* update

* [OPT] Run test only in half precision

* up

* up

* up

* up

* finish

* fix on GPU

* Update tests/models/opt/test_modeling_opt.py

* [BC] Fixing usage of text pairs

The BC is actually preventing users from misusing the pipeline since
users could have been willing to send text pairs and the pipeline would
instead understand the thing as a batch returning bogus results.

The correct usage of text pairs is preserved in this PR even when that
makes the code clunky.

Adds support for {"text":..,, "text_pair": ...} inputs for both dataset
iteration and more explicit usage to pairs.

* Updating the doc.

* Update src/transformers/pipelines/text_classification.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/pipelines/text_classification.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_text_classification.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* quality.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* [tests] fix copy-n-paste error

* fix

* fix

* Update utils/notification_service.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

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

Fix metric calculation in examples and setup tests to run on multi-gpu for no_trainer scripts (#17331)

* Fix length in no_trainer examples

* Add setup and teardown

* Use new accelerator config generator to automatically make tests able to run based on environment

Co-authored-by: Jader Martins <jadermcs94@gmail.com>

* send report only if there is any failure
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Adding cvt files

* Adding cvt files

* changes in init file

* Adding cvt files

* changes in init file

* Style fixes

* Address comments from code review

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Format lists in docstring

* Fix copies

* Apply suggestion from code review
Co-authored-by: AnugunjNaman <anugunjjha@gmail.com>
Co-authored-by: Ayushman Singh <singhayushman13@protonmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add information gain filtration algorithm

* Complying with black requirements

* Added author

* Fixed import order

* flake8 corrections
Co-authored-by: Javier Turek <javier.turek@intel.com>

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

* Accepting real pytorch device as arguments.

* is_torch_available.

* fix init

* Apply suggestions from code review

* fix

* finish

* Update src/transformers/modeling_tf_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* added type hints to prophetnet

* reformatted with black

* fix bc black misformatted some parts

* fix imports

* fix imports

* Update src/transformers/models/prophetnet/configuration_prophetnet.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* update OPTIONAL type hint and docstring
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Add trajectory transformer


Fix model init


Fix end of lines for .mdx files

Add trajectory transformer model to toctree

Add forward input docs

Fix docs, remove prints, simplify prediction test

Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update docs, more descriptive comments

Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Update readme

Small comment update and add conversion script

Rebase and reformat

Fix copies

Fix rebase, remove duplicates

Fix rebase, remove duplicates

* Remove tapex

* Remove tapex

* Remove tapex

[LED] fix global_attention_mask not being passed for generation and docs clarification about grad checkpointing (#17112)

* [LED] fixed global_attention_mask not passed for generation + docs clarification for gradient checkpointing

* LED docs clarification
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] gradient_checkpointing=True should be passed to TrainingArguments
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] docs: remove wrong word
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* [LED] docs fix typo
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add SplinterForSpanSelection for pre-training recurring span selection.

* Formatting.

* Rename SplinterForSpanSelection to SplinterForPreTraining.

* Ensure repo consistency

* Fixup changes

* Address SplinterForPreTraining PR comments

* Incorporate feedback and derive multiple question tokens per example.

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/splinter/modeling_splinter.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Jean Vancoppenole <jean.vancoppenolle@retresco.de>
Co-authored-by: Tobias Günther <tobias.guenther@retresco.de>
Co-authored-by: Tobias Günther <github@tobigue.de>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add author info to CI report

* Add merged by info

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

* Add initial doctring changes

* make fixup

* Add TF doc changes

* fix seq classifier output

* fix quality errors

* t

* swithc head to random init

* Fix expected outputs

* Update src/transformers/models/longformer/modeling_longformer.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* [Test] Fix W2V-Conformer integration test

* correct w2v2

* up

- Add --ignore_mismatched_sizes argument to classification examples

- Expand the error message when loading a model whose head dimensions are different from expected dimensions

* Initial commit

* Better label renaming

* Remove breakpoint before pushing (this is your job)

* Test a lot more in the Keras fit() test

* make fixup

* Clarify the case where we flatten y dicts into tensors

* Clarify the case where we flatten y dicts into tensors

* Extract label name remapping to a method