GitLab

* Correct Logging of Eval metric to Tensorboard

An empty dictionary ``eval_metrics`` was being logged, is replaced by ``eval_metric`` which is the output dictionary of ``metric.compute()``.

* Remove unused variable

* fix formatting and remove use_auth

* Add use_auth_token to Flax examples

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* refactor run_flax_glue.py

* updated readme

* rm unused import and args typo fix

* refactor

* make consistent arg name across task

* has_tensorboard check

* argparse -> argument dataclasses

* refactor according to review

* fix

* make tensorboard optional

* update test_fetcher for flax examples

* make the tests slow

* add test for glue

* add tests for clm

* fix clm test

* add summrization tests

* more tests

* fix few tests

* add test for t5 mlm

* fix t5 mlm test

* fix tests for multi device

* cleanup

* ci job

* fix metric file name

* make t5 more robust

* use Repository for push_to_hub

* update readme

* update other flax scripts

* update readme

* update qa example

* fix push_to_hub call

* fix typo

* fix more typos

* update readme

* use abosolute path to get repo name

* fix glue script

* fix typo in example/text-classification README

* add space to align the table

* fix_torch_device_generate_test

* remove @

* finish

* correct summary writer

* correct push to hub

* fix indent

* finish

* finish

* finish

* finish

* finish
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

Use a released version of optax rather than installing from Git

* fix_torch_device_generate_test

* remove @

* upload

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* Update examples/flax/language-modeling/README.md

* add more info

* finish

* fix
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Fix weight decay masking in `run_flax_glue.py`

Issues with the previous implementation:
- The `dict` from `traverse_util.flatten_dict` has keys which are tuples of strings, not one long string with the path separated by periods.
- `optax.masked` applies the transformation wherever the mask is True, so the masks are flipped.
- Flax's LayerNorm calls the scale parameter `scale` not `weight`

* Fix formatting with black

* adapt results
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* 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>

* refactor

* update

* update

* update

* refactor run mlm

* finalize

* refactor more

* fix typo

* update

* finish refactor

* modify run mlm

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* small fixes

* upload

* upload

* finish run mlm script
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Add Cloud details to README

* Flax script and readme updates

* Some simplifications of Flax script

* Add Cloud details to README

* Flax script and readme updates

* 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>