* fix --lr_scheduler_type choices
* rewrite to fix for all enum-based cl args
* cleanup
* adjust test
* style
* Proposal that should work
* Remove needless code
* Fix test
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
Python 3.9 changed the format of the string serialization of `typing.Optional`.
For example, `str(typing.Optional[str])` is
`typing.Union[str, NoneType]` in python 3.8 and
`typing.Optional[str]` in Python 3.9.
* Important files
* Styling them all
* Revert "Styling them all"
This reverts commit 7d029395fdae8513b8281cbc2a6c239f8093503e.
* Syling them for realsies
* Fix syntax error
* Fix benchmark_utils
* More fixes
* Fix modeling auto and script
* Remove new line
* Fixes
* More fixes
* Fix more files
* Style
* Add FSMT
* More fixes
* More fixes
* More fixes
* More fixes
* Fixes
* More fixes
* More fixes
* Last fixes
* Make sphinx happy
* Better None gradients handling
* Apply Style
* Apply Style
* Create a loss class per task to compute its respective loss
* Add loss classes to the ALBERT TF models
* Add loss classes to the BERT TF models
* Add question answering and multiple choice to TF Camembert
* Remove prints
* Add multiple choice model to TF DistilBERT + loss computation
* Add question answering model to TF Electra + loss computation
* Add token classification, question answering and multiple choice models to TF Flaubert
* Add multiple choice model to TF Roberta + loss computation
* Add multiple choice model to TF XLM + loss computation
* Add multiple choice and question answering models to TF XLM-Roberta
* Add multiple choice model to TF XLNet + loss computation
* Remove unused parameters
* Add task loss classes
* Reorder TF imports + add new model classes
* Add new model classes
* Bugfix in TF T5 model
* Bugfix for TF T5 tests
* Bugfix in TF T5 model
* Fix TF T5 model tests
* Fix T5 tests + some renaming
* Fix inheritance issue in the AutoX tests
* Add tests for TF Flaubert and TF XLM Roberta
* Add tests for TF Flaubert and TF XLM Roberta
* Remove unused piece of code in the TF trainer
* bugfix and remove unused code
* Bugfix for TF 2.2
* Apply Style
* Divide TFSequenceClassificationAndMultipleChoiceLoss into their two respective name
* Apply style
* Mirror the PT Trainer in the TF one: fp16, optimizers and tb_writer as class parameter and better dataset handling
* Fix TF optimizations tests and apply style
* Remove useless parameter
* Bugfix and apply style
* Fix TF Trainer prediction
* Now the TF models return the loss such as their PyTorch couterparts
* Apply Style
* Ignore some tests output
* Take into account the SQuAD cls_index, p_mask and is_impossible parameters for the QuestionAnswering task models.
* Fix names for SQuAD data
* Apply Style
* Fix conflicts with 2.11 release
* Fix conflicts with 2.11
* Fix wrongname
* Add better documentation on the new create_optimizer function
* Fix isort
* logging_dir: use same default as PyTorch
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
* [examples] Generate argparsers from type hints on dataclasses
* [HfArgumentParser] way simpler API
* Restore run_language_modeling.py for easier diff
* [HfArgumentParser] final tweaks from code review
