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* added functionality for electra classification head

* unneeded dropout

* Test ELECTRA for sequence classification

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

* TPU hangs when saving optimizer/scheduler

* Style

* ParallelLoader is not a DataLoader

* Style

* Addressing @julien-c's comments

Adds predict stage for glue tasks, and generate result files which can be submitted to gluebenchmark.com (#4463)

* Adds predict stage for glue tasks, and generate result files which could be submitted to gluebenchmark.com website.

* Use Split enum + always output the label name
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* fix no grad in second pruning and typo

* fix prune heads attention mismatch problem

* fix

* fix

* fix

* run make style

* run make style

Remove warning of deprecated overload of addcdiv_

Fix #4451

* Better None gradients handling

* Apply Style

* Apply Style

* Exclude LayerNorms from weight decay

* Include both formats of layer norm

* There is one missing key in BERT

* Correct device for CamemBERT model

* RoBERTa tokenization adding prefix space

* Style

Create model card for "Tereveni-AI/gpt2-124M-uk-fiction" model

* add model_cards for BERT trained on reviews.

* add link to repository.

* refine README.md for each review model

* add longformer docs

* improve docs

* fix gpu slow tests in pytorch

* change model to device syntax

* add T5 fine-tuning notebook [Community notebooks]

* Update README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* first commit

* bug fixes

* better examples

* undo padding

* remove wrong VOCAB_FILES_NAMES

* License

* make style

* make isort happy

* unit tests

* integration test

* make `black` happy by undoing `isort` changes!!

* lint

* no need for the padding value

* batch_size not bsz

* remove unused type casting

* seqlen not seq_len

* staticmethod

* `bert` selfattention instead of `n2`

* uint8 instead of bool + lints

* pad inputs_embeds using embeddings not a constant

* black

* unit test with padding

* fix unit tests

* remove redundant unit test

* upload model weights

* resolve todo

* simpler _mask_invalid_locations without lru_cache + backward compatible masked_fill_

* increase unittest coverage

* Map optimizer to correct device after loading from checkpoint.

* Make style test pass
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Distributed eval: SequentialDistributedSampler + gather all results

* For consistency only write to disk from world_master

Close https://github.com/huggingface/transformers/issues/4272

* Working distributed eval

* Hook into scripts

* Fix #3721 again

* TPU.mesh_reduce: stay in tensor space

Thanks @jysohn23

* Just a small comment

* whitespace

* torch.hub: pip install packaging

* Add test scenarii

* Test case for #3936

* multigpu tests pass on pytorch 1.4.0

* Fixup

* multigpu tests pass on pytorch 1.5.0

* Update src/transformers/modeling_utils.py

* Update src/transformers/modeling_utils.py

* rename multigpu to require_multigpu

* mode doc

* makes fetching last learning late in trainer backward compatible

* split comment to multiple lines

* fixes black styling issue

* uses version to create a more explicit logic

* Create README.md

* Create README.md

* Update README.md

* Update README.md

* Apply suggestions from code review
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

- add a citation.
- modify the table of the BLUE benchmark.

The table of the first version was not displayed correctly on https://huggingface.co/seiya/oubiobert-base-uncased.
Could you please confirm that this fix will allow you to display it correctly?

I followed the google example of usage for its electra small model but i have seen it is not meaningful, so i created a better example