GitLab

* initiliaze bart4causalLM

* create BartDecoderWrapper, setters/getters

* delete spaces

* forward and additional methods

* update cache function, loss function, remove ngram* params in data class.

* add bartcausallm, bartdecoder testing

* correct bart for causal lm

* remove at

* add mbart as well

* up

* fix typo

* up

* correct

* add pegasusforcausallm

* add blenderbotforcausallm

* add blenderbotsmallforcausallm

* add marianforcausallm

* add test for MarianForCausalLM

* add Pegasus test

* add BlenderbotSmall test

* add blenderbot test

* fix a fail

* fix an import fail

* a fix

* fix

* Update modeling_pegasus.py

* fix models

* fix inputs_embeds setting getter

* adapt tests

* correct repo utils check

* finish test improvement

* fix tf models as well

* make style

* make fix-copies

* fix copies

* run all tests

* last changes

* fix all tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* TF DistilBERT integration test

* Update test_modeling_tf_distilbert.py

* TF Albert integration test

* TF Alber integration test added

* fix steps_in_epoch variable when using max_steps

* redundant sentence

* Revert "redundant sentence"

This reverts commit ad5c0e9b6e66d65732dee2239cdc9c76dfa0dc5a.

* remove redundant sentence
Co-authored-by: wujindou <wujindou@sogou-inc.com>

* Fix Longformer and LED

* Add a test for graph execution with inputs_embeds

* Apply style

Looks like a vulnerability and it's not really used anywhere in the code, so just as well remove it completely from deps.
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/bleach/open

* Add {decoder_,}head_mask to LED

* Fix create_custom_forward signatue in encoder

* Add head_mask to longformer

* Add head_mask to longformer to fix dependencies
of LED on Longformer.

* Not working yet

* Add mising one input in longofrmer_modeling.py

* make fix-copies

* add raw scaffold

* implement feat extract layers

* make style

* remove +

* correctly convert weights

* make feat extractor work

* make feature extraction proj work

* run forward pass

* finish forward pass

* Succesful decoding example

* remove unused files

* more changes

* add wav2vec tokenizer

* add new structure

* fix run forward

* add other layer norm architecture

* finish 2nd structure

* add model tests

* finish tests for tok and model

* clean-up

* make style

* finish docstring for model and config

* make style

* correct docstring

* correct tests

* change checkpoints to fairseq

* fix examples

* finish wav2vec2

* make style

* apply sylvains suggestions

* apply lysandres suggestions

* change print to log.info

* re-add assert statement

* add input_values as required input name

* finish wav2vec2 tokenizer

* Update tests/test_tokenization_wav2vec2.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* apply sylvains suggestions
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Initial work

* Fix doc styler and other models

* ALBERT Tokenizer integration test

* Batching

* Style

* change tokenizer requirement

* split line

* Correct typo from list to str

* improve style

* make other function pretty as well

* add comment

* correct typo

* add new test

* pass tests for tok without padding token

* Apply suggestions from code review

* Change documentation to correctly specify loss tensor size

* Change documentation to correct input format for labels

* Corrected output size of loss tensor for sequence classifier, multiple choice model and question answering

* fix conversion script

* typo

* import nn

* add new model logic

* fix docs

* change structure

* improve add_new_model

* push new changes

* up

* up

* correct spelling

* improve docstring

* correct line length

* update readme

* correct links

* correct typos

* only add rst file for now

* Apply suggestions from code review 1
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Bram Vanroy <Bram.Vanroy@UGent.be>

* Apply suggestions from code review
Co-authored-by: Bram Vanroy <Bram.Vanroy@UGent.be>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Bram Vanroy <Bram.Vanroy@UGent.be>

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Pierric Cistac <Pierrci@users.noreply.github.com>

* finish adding all suggestions

* make style

* apply Niels feedback

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

* apply sylvains suggestions
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Bram Vanroy <Bram.Vanroy@UGent.be>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Pierric Cistac <Pierrci@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

This affects Adafactor with relative_step=False and scale_parameter=True.
Updating group["lr"] makes the result of ._get_lr() depends on the previous call,
i.e., on the scale of other parameters. This isn't supposed to happen.

* Remove subclass for sortish sampler

* Use old Seq2SeqTrainer in script

* Styling

* MOD: fit chinese wwm to new datasets

* MOD: move wwm to new folder

* MOD: formate code

* Styling

* MOD add param and recover trainer
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* [t5 doc] typos

a few run away backticks

@sgugger

* style

* [trainer] put fp16 args together

this PR proposes a purely cosmetic change that puts all the fp16 args together - so they are easier to manager/read

@sgugger

* style

* [wandb] make WANDB_DISABLED disable wandb with any value

This PR solves part of https://github.com/huggingface/transformers/issues/9623

It tries to actually do what https://github.com/huggingface/transformers/issues/9699 requested/discussed and that is any value of `WANDB_DISABLED` should disable wandb.

The current behavior is that it has to be one of `ENV_VARS_TRUE_VALUES = {"1", "ON", "YES"}`

I have been using `WANDB_DISABLED=true` everywhere in scripts as it was originally advertised. I have no idea why this was changed to a sub-set of possible values. And it's not documented anywhere.

@sgugger

* WANDB_DISABLED=true to disable; make tf trainer consistent

* style

* Add {decoder_,}head_mask to fsmt_modeling.py

* Enable test_headmasking and some changes to docs

* Remove test_head_masking flag from fsmt test file

Remove test_head_masking flag from test_modeling_fsmt.py
since test_head_masking is set to be True by default (thus it is redundant to store).

* Merge master and remove test_head_masking = True

* Rebase necessary due to an update of jaxlib

* Remove test_head_masking=True in tests/test_modeling_fsmt.py
as it is redundant.

* TFBart lables consider both pad token and -100

* make style

* fix for all other models

Co-authored-by: kykim <kykim>
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Clarify definition of seed argument in Trainer

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

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

* Fix style

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

Apparently nested markup in RST is invalid: https://docutils.sourceforge.io/FAQ.html#is-nested-inline-markup-possible

So currently this line doesn't get rendered properly, leaving inner markdown unrendered, resulting in:
```
https://docutils.sourceforge.io/FAQ.html#is-nested-inline-markup-possible
```

This PR removes the bold which fixes the link.

* When on sagemaker use their env variables for saves

* Address review comments

* Quality