GitLab

* fix distilbert

* fix typo

* Add tests to Trainer

* Test if removing long breaks everything

* Remove ugly hack

* Fix distributed test

* Use float for number of epochs

* Feed forward chunking for Distilbert & Albert

* Added ff chunking for many other models

* Change model signature

* Added chunking for XLM

* Cleaned up by removing some variables.

* remove test_chunking flag
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* start adding tie encoder to decoder functionality

* finish model tying

* make style

* Apply suggestions from code review

* fix t5 list including cross attention

* apply sams suggestions

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

* add max depth break point
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* tests

Co-authored-by: sgugger <sylvain.gugger@gmail.com>

`assertEquals` is deprecated: https://stackoverflow.com/questions/930995/assertequals-vs-assertequal-in-python/931011
This PR replaces these deprecated methods.

* Update BERT Japanese tokenizers

* Update CircleCI config to download unidic

* Specify to use the latest dictionary packages

* add cross attention layers for gpt2

* make gpt2 cross attention work

* finish bert2gpt2

* add explicit comments

* remove attention mask since not yet supported

* revert attn mask in pipeline

* Update src/transformers/modeling_gpt2.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* add MBartForConditionalGeneration

* style

* rebase and fixes

* add mbart test in TEST_FILES_WITH_NO_COMMON_TESTS

* fix docs

* don't ignore mbart

* doc

* fix mbart fairseq link

* put mbart before bart

* apply doc suggestions

* Test model outputs equivalence

* Fix failing tests

* From dict to kwargs

* DistilBERT

* Addressing @sgugger and @patrickvonplaten's comments

* cleanup torch unittests: part 2

* remove trailing comma added by isort, and which breaks flake

* one more comma

* revert odd balls

* part 3: odd cases

* more ["key"] -> .key refactoring

* .numpy() is not needed

* more unncessary .numpy() removed

* more simplification

* add targets arg to fill-mask pipeline

* add tests and more error handling

* quality

* update docstring

* add encoder-decoder for roberta

* fix headmask

* apply Sylvains suggestions

* fix typo

* Apply suggestions from code review

* allow using tokenizer.pad as a collate_fn in pytorch

* allow using tokenizer.pad as a collate_fn in pytorch

* Add documentation and tests

* Make attention mask the right shape

* Better test
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

* [wip] add get_polynomial_decay_schedule_with_warmup

* style

* add assert

* change lr_end to a much smaller default number

* check for exact equality

* [model_cards] electra-base-turkish-cased-ner (#6350)

* for electra-base-turkish-cased-ner

* Add metadata
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Temporarily de-activate TPU CI

* Update modeling_tf_utils.py (#6372)

fix typo: ckeckpoint->checkpoint

* the test now works again (#6371)

* correct pl link in readme (#6364)

* refactor almost identical tests (#6339)

* refactor almost identical tests

* important to add a clear assert error message

* make the assert error even more descriptive than the original bt

* Small docfile fixes (#6328)

* Patch models (#6326)

* TFAlbertFor{TokenClassification, MultipleChoice}

* Patch models

* BERT and TF BERT info


s

* Update check_repo

* Ci GitHub caching (#6382)

* Cache Github Actions CI

* Remove useless file

* Colab button (#6389)

* Add colab button

* Add colab link for tutorials

* Fix links for open in colab (#6391)

* Update src/transformers/optimization.py

consistently use lr_end=1e-7 default
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [wip] add get_polynomial_decay_schedule_with_warmup

* style

* add assert

* change lr_end to a much smaller default number

* check for exact equality

* Update src/transformers/optimization.py

consistently use lr_end=1e-7 default
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove dup (leftover from merge)

* convert the test into the new refactored format

* stick to using the current_step as is, without ++
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Alexander Measure <ameasure@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: Jingqing  Zhang <jingqing.zhang15@imperial.ac.uk>

* fix tokenizer saving and loading bugs when adding AddedToken to additional special tokens

* Add tokenizer test

* Style

* Style 2
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Chunked feed forward for Bert

This is an initial implementation to test applying feed forward chunking for BERT.
Will need additional modifications based on output and benchmark results.

* Black and cleanup

* Feed forward chunking in BertLayer class.

* Isort

* add chunking for all models

* fix docs

* Fix typo
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* improve names and tests longformer

* more and better tests for longformer

* add first tf test

* finalize tf basic op functions

* fix merge

* tf shape test passes

* narrow down discrepancies

* make longformer local attn tf work

* correct tf longformer

* add first global attn function

* add more global longformer func

* advance tf longformer

* finish global attn

* upload big model

* finish all tests

* correct false any statement

* fix common tests

* make all tests pass except keras save load

* fix some tests

* fix torch test import

* finish tests

* fix test

* fix torch tf tests

* add docs

* finish docs

* Update src/transformers/modeling_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

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

* apply Lysandres suggestions

* reverse to assert statement because function will fail otherwise

* applying sylvains recommendations

* Update src/transformers/modeling_longformer.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Update src/transformers/modeling_tf_longformer.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* correct encoder decoder model

* Apply suggestions from code review

* apply sylvains suggestions

* TFAlbertFor{TokenClassification, MultipleChoice}

* Patch models

* BERT and TF BERT info


s

* Update check_repo

* refactor almost identical tests

* important to add a clear assert error message

* make the assert error even more descriptive than the original bt

* Fix the tests for Electra

* Apply style

* Add a script to check all models are tested and documented

* Apply suggestions from code review
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* Address comments
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* Add strip_accents to basic tokenizer

* Add tests for strip_accents.

* fix style with black

* Fix strip_accents test

* empty commit to trigger CI

* Improved strip_accents check

* Add code quality with is not False

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* Add new models and fix issues

* Quality improvements

* Add T5

* A bit of cleanup

* Fix for slow tests

* Style

* Add SequenceClassification and MultipleChoice TF models to Electra

* Apply style

* Add summary_proj_to_labels to Electra config

* Finally mirroring the PT version of these models

* Apply style

* Fix Electra test

* improve unit tests

this is a sample of one test according to the request in https://github.com/huggingface/transformers/issues/5973
before I apply it to the rest

* batch 1

* batch 2

* batch 3

* batch 4

* batch 5

* style

* non-tf template

* last deletion of check_loss_output

* Fix TF Serving when output_hidden_states and output_attentions are True

* Add tests for saved model creation + bug fix for multiple choices models

* remove unused import

* Fix the input for several layers

* Fix test

* Fix conflict printing

* Apply style

* Fix XLM and Flaubert for TensorFlow

* Apply style

* Fix TF check version

* Apply style

* Trigger CI