GitLab

* Remove redundant `nn.log_softmax` in `run_flax_glue.py`

`optax.softmax_cross_entropy` expects unnormalized logits, and so it already calls `nn.log_softmax`, so I believe it is not needed here. `nn.log_softmax` is idempotent so mathematically it shouldn't have made a difference.

* Remove unused 'flax.linen' import

* fix_torch_device_generate_test

* remove @

* correct best seed for flax fine-tuning
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* speed up flax glue

* remove unnecessary line

* remove folder

* remove run in loop
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Add Cloud details to README

* Flax script and readme updates

* Some simplifications of Flax script

* Adds Flax BERT finetuning example

* fix traced jax tensor type

* Use Optax losses and learning schedulers

* Add 1GPU training results

* merge into master & make style

* fix input

* del file

* Fix bug in loss and add torch runs

* finish bert flax fine-tune

* Update examples/flax/text-classification/README.md

* Update examples/flax/text-classification/run_flax_glue.py

* add requirements

* finalize

* finalize
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* The 'warn' method is deprecated

* fix test

Use the correct variable (raw_datasets) instead of the module (datasets)
where appropriate.

* Add new GLUE example with no Trainer.

* Style

* Address review comments