GitLab

* Bulk of the work

* Polish and tests

* Update QA Trainer

* Avoid breaking the predict method

* Deprecation warnings

* Store real eval dataloder

* Get eval dataset reference before wrap

* The 'warn' method is deprecated

* fix test

* Introduce save_strategy training argument

* deprecate EvaluationStrategy

* collapse EvaluationStrategy and LoggingStrategy into a single
  IntervalStrategy enum

* modify tests to use modified enum

Introduce logging_strategy training argument
in TrainingArguments and TFTrainingArguments. (#9838)

* feat(wandb): log artifacts

* fix: typo

* feat(wandb): ensure name is allowed

* feat(wandb): log artifact

* feat(wandb): saving logic

* style: improve formatting

* fix: unrelated typo

* feat: use a fake trainer

* fix: simplify

* feat(wandb): log model files as artifact

* style: fix style

* docs(wandb): correct description

* feat: unpack model + allow env Truethy values

* feat: TrainerCallback can access tokenizer

* style: fix style

* feat(wandb): log more interesting metadata

* feat: unpack tokenizer

* feat(wandb): metadata with load_best_model_at_end

* feat(wandb): more robust metadata

* style(wandb): fix formatting

* Add early stopping patience and minimum threshold metric must improve to prevent early stopping to pytorch trainer

* Add early stopping test

* Set patience counter to 0 if best metric not defined yet

* Make early stopping a callback. Add callback event for updating the best metric for early stopping callback to trigger on.

* Run make style

* make funciton name sensible

* Improve new argument docstring wording and hope that flakey CI test passes.

* Use on_evaluation callback instead of custom. Remove some debug printing

* Move early stopping arguments and state into early stopping callback

* Run make style

* Remove old code

* Fix docs formatting. make style went rogue on me.

* Remove copied attributes and fix variable

* Add assertions on training arguments instead of mutating them. Move comment out of public docs.

* Make separate test for early stopping callback. Add test of invalid arguments.

* Run make style... I remembered before CI this time!

* appease flake8

* Add EarlyStoppingCallback to callback docs

* Make docstring EarlyStoppingCallabck match other callbacks.

* Fix typo in docs

* Fix callback_list

* Add test
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>

* Fix test
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>

* 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

* Fix checkpoint loading in Trainer

* Fix typo

Improved TensorBoard and Wandb integration, as well as optuna and ray/tune support, with minor modifications to trainer core code.

Fix a bug that happends when subclassing Trainer and
overwriting evaluate() without calling prediciton_loop()

* Initial callback proposal

* Finish various callbacks

* Post-rebase conflicts

* Fix tests

* Don't use something that's not set

* Documentation

* Remove unwanted print.

* Document all models can work

* Add tests + small fixes

* Update docs/source/internal/trainer_utils.rst
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments

* Fix TF tests

* Real fix this time

* This one should work

* Fix typo

* Really fix typo
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>