* Fix the issue to properly run the accumulator with TF 2.2
* Apply style
* Fix training_args_tf for TF 2.2
* Fix the TF training args when only one GPU is available
* Remove the fixed version of TF in setup.py
* First commit to add a TF version of the trainer.
* Make the TF trainer closer to what looks the PT trainer
* Refactoring common code between the PT and TF trainer into an util file.
* Some bugfix + better similarity with the PT trainer
* Add missing class in transformers init
* Bugfix over prediction + use classification report instead of simple metrics
* Fix name error
* Fix optimization tests + style
* Apply style
* Several bugfix for multi-gpu training
* Apply style
* Apply style
* Add glue example for the TF trainer
* Several bugix + address the reviews
* Fix on the TF training args file
* Add a debug mode
* Bugfix in utils_ner.py when segment_ids is None
* Apply style
* Apply style
* Add TPU strategy
* Fix selection strategy
* Update the NER TF script to remove the softmax and make the pad token label id to -1
* Reformat the quality and style
Co-authored-by: Julien Plu <julien.plu@adevinta.com>
This prevents transformers from being importable simply because the CWD
is the root of the git repository, while not being importable from other
directories. That led to inconsistent behavior, especially in examples.
Once you fetch this commit, in your dev environment, you must run:
$ pip uninstall transformers
$ pip install -e .
