GitLab

* Allow tests in examples to use cuda or fp16,if they are available

The tests in examples didn't use the cuda or fp16 even if they where available.
- The text classification example (`run_glue.py`) didn't use the fp16 even if it was available but
  the device was take based on the availablity(cuda/cpu).
- The language-modeling example (`run_language_modeling.py`) was having `--no_cuda` argument
  which made the test to work without cuda. This example is having issue when running with fp16
  thus it not enabled (got an assertion error for perplexity due to it higher value).
- The cuda and fp16 is not enabled for question-answering example (`run_squad.py`) as it is having a
  difference in the f1 score.
- The text-generation example (`run_generation.py`) will take the cuda or fp16 whenever it is available.

Resolves some of: #5057

* Unwanted import of is_apex_available was removed

* Made changes to test examples file to have the pass --fp16 only if cuda and apex is avaliable
- run_glue.py: Removed the check for cuda and fp16.
- run_generation.py: Removed the check for cuda and fp16 also removed unwanted flag creation.

* Incorrectly sorted imports fixed

* The model needs to be converted to half precision

* Formatted single line if condition statement to multiline

* The torch_device also needed to be checked before running the test on examples
- The tests in examples which uses cuda should also depend from the USE_CUDA flag,
  similarly to the rest of the test suite. Even if we decide to set USE_CUDA to
  True by default, setting USE_CUDA to False should result in the examples not using CUDA

* Format some of the code in test_examples file

* The improper import of is_apex_available was sorted

* Formatted the code to keep the style standards

* The comma at the end of list giving a flake8 issue was fixed

* Import sort was fixed

* Removed the clean_test_dir function as its not used right now

* Run new isort

* More changes

* Update CI, CONTRIBUTING and benchmarks

* [testing] switch to a new TestCasePlus + get_auto_remove_tmp_dir() for auto-removal of tmp dirs

* respect after=True for tempfile, simplify code

* comments

* comment fix

* put `before` last in args, so can make debug even faster

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* fix

* Clean Dir after testing

* remove pabee ignore

* Add more token classification examples

* POS tagging example

* Phrase chunking example

* PR review fixes

* Add conllu to third party list (used in token classification examples)

* replace capsys with the more refined CaptureStderr/CaptureStdout

* Update examples/seq2seq/test_seq2seq_examples.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [wip] add get_polynomial_decay_schedule_with_warmup

* style

* add assert

* change lr_end to a much smaller default number

* check for exact equality

* [model_cards] electra-base-turkish-cased-ner (#6350)

* for electra-base-turkish-cased-ner

* Add metadata
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Temporarily de-activate TPU CI

* Update modeling_tf_utils.py (#6372)

fix typo: ckeckpoint->checkpoint

* the test now works again (#6371)

* correct pl link in readme (#6364)

* refactor almost identical tests (#6339)

* refactor almost identical tests

* important to add a clear assert error message

* make the assert error even more descriptive than the original bt

* Small docfile fixes (#6328)

* Patch models (#6326)

* TFAlbertFor{TokenClassification, MultipleChoice}

* Patch models

* BERT and TF BERT info


s

* Update check_repo

* Ci GitHub caching (#6382)

* Cache Github Actions CI

* Remove useless file

* Colab button (#6389)

* Add colab button

* Add colab link for tutorials

* Fix links for open in colab (#6391)

* Update src/transformers/optimization.py

consistently use lr_end=1e-7 default
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [wip] add get_polynomial_decay_schedule_with_warmup

* style

* add assert

* change lr_end to a much smaller default number

* check for exact equality

* Update src/transformers/optimization.py

consistently use lr_end=1e-7 default
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove dup (leftover from merge)

* convert the test into the new refactored format

* stick to using the current_step as is, without ++
Co-authored-by: M. Yusuf Sarıgöz <yusufsarigoz@gmail.com>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Alexander Measure <ameasure@gmail.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: Jingqing  Zhang <jingqing.zhang15@imperial.ac.uk>

* add pl_glue example test

* for now just test that it runs, next validate results of eval or predict?

* complete the run_pl_glue test to validate the actual outcome

* worked on my machine, CI gets less accuracy - trying higher epochs

* match run_pl.sh hparms

* more epochs?

* trying higher lr

* for now just test that the script runs to a completion

* correct the comment

* if cuda is available, add --fp16 --gpus=1 to cover more bases

* style

as discussed with @sshleifer, removing this TODO to switch to a tiny model, since it won't be able to test the results of the evaluation (i.e. the results are meaningless).

* Add setup for TPU CI to run every hour.

* Re-organize config.yml
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Support for Comet.ml

* Need to import comet first

* Log this model, not the one in the backprop step

* Log args as hyperparameters; use framework to allow fine control

* Log hyperparameters with context

* Apply black formatting

* isort fix integrations

* isort fix __init__

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/trainer_tf.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Address review comments

* Style + Quality, remove Tensorboard import test
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* support --lr_scheduler with multiple possibilities

* correct the error message

* add a note about supported schedulers

* cleanup

* cleanup2

* needs the argument default

* style

* add another assert in the test

* implement requested changes

* cleanups

* fix relative import

* cleanup