GitLab

update README with good news that the leak fix has been applied to pytorch-1.7.1.

* Clarify impact of disable_tqdm on Jupyter Notebooks

* Add weblink to argparse

* Replace "dev set" with more common "validation set" in do_eval

* Tweak prediction_loss_only

* Tweak description of Adam hyperparameters

* Add weblink to TensorBoard

* Capitalise apex

* Tweak local_rank description

* Add weblink for wandb

* Replace nlp with datasets

* Tweak grammar in model_parallel

* Capitalise apex

* Update TensorFlow training args to match PyTorch ones

* Fix style

* Fix underscore in weblink
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix underscore in weblink
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix underscore in weblink
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix underscore in weblink
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add obj to datasets.Dataset
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* trainer and finetune_trainer enhancements and fixes

* add fallback default

* move the fixing of incorrect keys back into finetune trainer

* s/eval/val/ to match the split

* trainer can now use a different prefix than eval_ for metrics

* document new arg

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* use 'eval' as the default for metric_key_prefix

* complete adjust var names + disambiguate

* fix logger

* add clarifying comment

* add clarifying comment

* style

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/trainer.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* complete removal of optional for metric_key_prefix

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix T5 for graphe compilation+execution

* Fix BART

* Fix import

* Fix naming

* fix attribute name

* Oops

* fix import

* fix tests

* fix tests

* Update test

* Add mising import

* Address Patrick's comments

* Style

* Address Patrick's comment

* add model parallelism to T5EncoderModel

add model parallelism to T5EncoderModel

* remove decoder from T5EncoderModel parallelize

* uodate T5EncoderModel docs

* Extend T5ModelTest for T5EncoderModel

* fix T5Stask using range for get_device_map

* fix style
Co-authored-by: Ahmed Elnaggar <elnaggar@rostlab.informatik.tu-muenchen.de>

* fix rag

* fix slow test

* fix past in bart

* Resize the biases in same time than the embeddings

* Trigger CI

* Biases are not reset anymore

* Remove get_output_embeddings + better LM model detection in generation utils

* Apply style

* First test on BERT

* Update docstring + new name

* Apply the new resizing logic to all the models

* fix tests

* Apply style

* Update the template

* Fix naming

* Fix naming

* Apply style

* Apply style

* Remove unused import

* Revert get_output_embeddings

* Trigger CI

* Update num parameters

* Restore get_output_embeddings in TFPretrainedModel and add comments

* Style

* Add decoder resizing

* Style

* Fix tests

* Separate bias and decoder resize

* Fix tests

* Fix tests

* Apply style

* Add bias resizing in MPNet

* Trigger CI

* Apply style

* rm all model cards

* Update the .rst

@sgugger it is still not super crystal clear/streamlined so let me know if any ideas to make it simpler

* Add a rootlevel README.md with simple instructions/context

* Update docs/source/model_sharing.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* make style

* rm all model cards
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* improve

* finish

* upload model

* fix lm head

* fix test

Bumps [notebook](https://github.com/jupyter/jupyterhub) from 6.1.4 to 6.1.5.
- [Release notes](https://github.com/jupyter/jupyterhub/releases)
- [Changelog](https://github.com/jupyterhub/jupyterhub/blob/master/CHECKLIST-Release.md)
- [Commits](https://github.com/jupyter/jupyterhub/commits

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Fix PreTrainedTokenizer.pad when first inputs are empty

* Handle empty inputs case

* Reorganize example folder

* Continue reorganization

* Change requirements for tests

* Final cleanup

* Finish regroup with tests all passing

* Copyright

* Requirements and readme

* Make a full link for the documentation

* Address review comments

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

* Add symlink

* Reorg again

* Apply suggestions from code review
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

* Adapt title

* Update to new strucutre

* Remove test

* Update READMEs
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>

* Create README.md

* Fix model card
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Create README.md

* Update model_cards/kiri-ai/distiluse-base-multilingual-cased-et/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* Update model_cards/Cinnamon/electra-small-japanese-generator/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Add QARiB models

* fix README.md

* Fix README.md

* Fix README.md

* Fix README.md

* Fix QARiB files

* add models card for QARiB models 860k, 1790k, and 1970k

* try to fix PR

* re-add files

* links aren't allowed here :)
Co-authored-by: Ahmed Abdelali <aabdelali@hbku.edu.qa>
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Create README.md

Initial README for `t5-base-indonesian-summarization-cased` model

* Update README for t5-base-indonesian-summarization-cased

Typo in README, change from `small` to `base`

Initial README for `t5-small-indonesian-summarization-cased` model

* Remove value error

* Try a fix for parameter ordering

* Restore previous behavior

* Add documentation

* Review the comment

There is a tiny typo in the code "transformers/examples/language-modeling/run_mlm_wwm.py" at line 284. [Details.](https://github.com/huggingface/transformers/issues/9012)

* ci-doc-job-skip-take-4

* wip

* wip

* wip

* wip

* skip yaml

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* wip

* ready to test

* yet another way

* trying with HEAD

* trying with head.sha

* trying with head.sha fix

* trying with head.sha fix wip

* undo

* try to switch to sha

* current branch

* current branch

* PR number check

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* joy ride

* remove make on the fly linear embedding

* start refactor

* big first refactor

* save intermediate

* save intermediat

* correct mask issue

* save tests

* refactor padding masks

* make all tests pass

* further refactor

* make pegasus test pass

* fix bool if

* fix leftover tests

* continue

* bart renaming

* delete torchscript test hack

* fix imports in tests

* correct shift

* fix docs and repo cons

* re-add fix for FSTM

* typo in test

* fix typo

* fix another typo

* continue

* hot fix 2 for tf

* small fixes

* refactor types linting

* continue

* finish refactor

* fix import in tests

* better bart names

* further refactor and add test

* delete hack

* apply sylvains and lysandres commens

* small perf improv

* further perf improv

* improv perf

* fix typo

* make style

* small perf improv