GitLab

* Data collator with padding

* Add type annotation

* Support tensors as well

* Add comment

* Fix for labels wrong shape

* Data collator with padding

* Add type annotation

* Support tensors as well

* Add comment

* Fix for labels wrong shape

* Remove changes rendered unnecessary

* Activate check on the CI

* Fix repo inconsistencies

* Don't document too much

* 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>

* replace capsys with the more refined CaptureStderr/CaptureStdout

* Update examples/seq2seq/test_seq2seq_examples.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* Fix FFN dropout in TFAlbertLayer, and split dropout in TFAlbertAttention into two separate dropout layers.

* Same dropout fixes for PyTorch.

* Create README.md

* Update model_cards/rohanrajpal/bert-base-codemixed-uncased-sentiment/README.md

* Update model_cards/rohanrajpal/bert-base-codemixed-uncased-sentiment/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* add results on SAIL dataset

* Update model_cards/rohanrajpal/bert-base-multilingual-codemixed-cased-sentiment/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.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>

* Create README.md

* Update README.md

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

* Create README.md

Model card for https://huggingface.co/akhooli/gpt2-small-arabic



* Update model_cards/akhooli/gpt2-small-arabic/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* Update model_cards/akhooli/gpt2-small-arabic-poetry/README.md

* Update model_cards/akhooli/gpt2-small-arabic-poetry/README.md

* Update model_cards/akhooli/gpt2-small-arabic-poetry/README.md

* Update model_cards/akhooli/gpt2-small-arabic-poetry/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Optimized banned token masking

* Avoid duplicate EOS masking if in bad_words_id

* Updated mask generation to handle empty banned token list

* Addition of unit tests for the updated bad_words_ids masking

* Updated timeout handling in `test_postprocess_next_token_scores_large_bad_words_list` unit test

* Updated timeout handling in `test_postprocess_next_token_scores_large_bad_words_list` unit test (timeout does not work on Windows)

* Moving Marian import to the test context to allow TF only environments to run

* Moving imports to torch_available test

* Updated operations device and test

* Updated operations device and test

* Added docstring and comment for in-place scores modification

* Moving test to own test_generation_utils, use of lighter models for testing

* removed unneded imports in test_modeling_common

* revert formatting change for ModelTesterMixin

* Updated caching, simplified eos token id test, removed unnecessary @require_torch

* formatting compliance

* Warn if debug requested without TPU fixes (#6308)
Check whether a PyTorch compatible TPU is available before attempting to print TPU metrics after training has completed. This way, users who apply `--debug` without reading the documentation aren't suprised by a stacktrace.

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

* 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>

* testing utils: capturing std streams context manager

* style

* missing import

* add the origin of this code

* add pl_glue example test

* for now just test that it runs, next validate results of eval or predict?

* complete the run_pl_glue test to validate the actual outcome

* worked on my machine, CI gets less accuracy - trying higher epochs

* match run_pl.sh hparms

* more epochs?

* trying higher lr

* for now just test that the script runs to a completion

* correct the comment

* if cuda is available, add --fp16 --gpus=1 to cover more bases

* style

* 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