GitLab

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>

* Fix the tests for Electra

* Apply style

* Add a script to check all models are tested and documented

* Apply suggestions from code review
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* Address comments
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

remove unnecessary duplication wrt `RUN_SLOW=yes`

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

Added citation and paper links.

* Pin to 1.5.0

* Patch XLM GPU test

* Single workflow cache test




Remove cache dir, re-trigger cache


Only pip archives


Not sudo when pip

* All workflow cache

Remove no-cache-dir instruction


Remove last sudo occurrences


v0.3

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

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

Add links to RuPERTa models fine-tuned on Spanish SQUAD datasets

* 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>

* Add strip_accents to basic tokenizer

* Add tests for strip_accents.

* fix style with black

* Fix strip_accents test

* empty commit to trigger CI

* Improved strip_accents check

* Add code quality with is not False

I am adding a descriptive README.md file to my recently uploaded twitter classification model: shrugging-grace/tweetclassifier.

I am adding a descriptive README.md file to my recently uploaded twitter classification model: shrugging-grace/tweetclassifier.

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* Add new models and fix issues

* Quality improvements

* Add T5

* A bit of cleanup

* Fix for slow tests

* Style

* added `name` argument for wandb logging, also logging model config with trainer arguments

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

* added tf, post-review changes
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add SequenceClassification and MultipleChoice TF models to Electra

* Apply style

* Add summary_proj_to_labels to Electra config

* Finally mirroring the PT version of these models

* Apply style

* Fix Electra test

* 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

* Update to match renamed attributes in fairseq master

RobertaModel no longer have model.encoder and args.num_classes attributes as of 5/28/20.

* Quality
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>