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* Add dataloader_num_workers to TrainingArguments

This argument is meant to be used to set the
number of workers for the PyTorch DataLoader.

* Pass num_workers argument on DataLoader init

The score for the F1 metric was reported as the Exact Match and vice-versa.

* [bug fix] fixed the bug that the actual batch_size is inconsistent with the parameter settings

* reformat

* reformat

* reformat

* add support for dict and BatchEncoding

* add support for dict and BatchEncoding

* add documentation for DataCollatorForNextSentencePrediction

* Some more nits for the docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Some more nits for the docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Some more nits for the docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Some more nits for the docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Some more nits for the docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* Formatting / renaming prior to actual work

* First commit

* improve comments

* Retrieval evaluation scripts

* refactor to include modeling outputs + MPI retriever

* Fix rag-token model + refactor

* Various fixes + finetuning logic

* use_bos fix

* Retrieval refactor

* Finetuning refactoring and cleanup

* Add documentation and cleanup

* Remove set_up_rag_env.sh file

* Fix retrieval wit HF index

* Fix import errors

* Fix quality errors

* Refactor as per suggestions in https://github.com/huggingface/transformers/pull/6813#issuecomment-687208867



* fix quality

* Fix RAG Sequence generation

* minor cleanup plus initial tests

* fix test

* fix tests 2

* Comments fix

* post-merge fixes

* Improve readme + post-rebase refactor

* Extra dependencied for tests

* Fix tests

* Fix tests 2

* Refactor test requirements

* Fix tests 3

* Post-rebase refactor

* rename nlp->datasets

* RAG integration tests

* add tokenizer to slow integration test and allow retriever to run on cpu

* add tests; fix position ids warning

* change structure

* change structure

* add from encoder generator

* save working solution

* make all integration tests pass

* add RagTokenizer.save/from_pretrained and RagRetriever.save/from_pretrained

* don't save paths

* delete unnecessary imports

* pass config to AutoTokenizer.from_pretrained for Rag tokenizers

* init wiki_dpr only once

* hardcode legacy index and passages paths (todo: add the right urls)

* finalize config

* finalize retriver api and config api

* LegacyIndex index download refactor

* add dpr to autotokenizer

* make from pretrained more flexible

* fix ragfortokengeneration

* small name changes in tokenizer

* add labels to models

* change default index name

* add retrieval tests

* finish token generate

* align test with previous version and make all tests pass

* add tests

* finalize tests

* implement thoms suggestions

* add first version of test

* make first tests work

* make retriever platform agnostic

* naming

* style

* add legacy index URL

* docstrings + simple retrieval test for distributed

* clean model api

* add doc_ids to retriever's outputs

* fix retrieval tests

* finish model outputs

* finalize model api

* fix generate problem for rag

* fix generate for other modles

* fix some tests

* save intermediate

* set generate to default

* big refactor generate

* delete rag_api

* correct pip faiss install

* fix auto tokenization test

* fix faiss install

* fix test

* move the distributed logic to examples

* model page

* docs

* finish tests

* fix dependencies

* fix import in __init__

* Refactor eval_rag and finetune scripts

* start docstring

* add psutil to test

* fix tf test

* move require torch to top

* fix retrieval test

* align naming

* finish automodel

* fix repo consistency

* test ragtokenizer save/load

* add rag model output docs

* fix ragtokenizer save/load from pretrained

* fix tokenizer dir

* remove torch in retrieval

* fix docs

* fixe finetune scripts

* finish model docs

* finish docs

* remove auto model for now

* add require torch

* remove solved todos

* integrate sylvains suggestions

* sams comments

* correct mistake on purpose

* improve README

* Add generation test cases

* fix rag token

* clean token generate

* fix test

* add note to test

* fix attention mask

* add t5 test for rag

* Fix handling prefix in finetune.py

* don't overwrite index_name
Co-authored-by: Patrick Lewis <plewis@fb.com>
Co-authored-by: Aleksandra Piktus <piktus@devfair0141.h2.fair>
Co-authored-by: Aleksandra Piktus <piktus@learnfair5102.h2.fair>
Co-authored-by: Aleksandra Piktus <piktus@learnfair5067.h2.fair>
Co-authored-by: Your Name <you@example.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>

* Make big downloads as slow

* Add import

* Right order for slow decorator

* More slow tests

* Add new example with nlp

* Update README

* replace nlp by datasets

* Update examples/text-classification/README.md

Add Lysandre's suggestion.
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Create an XLA parameter and fix mixed precision creation

* Fix issue brought by intellisense

* Complete docstring

* Add possibility to evaluate every epoch

* Remove multitype arg

* Remove needless import

* Use a proper enum

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

* One else and formatting
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* is_pretokenized -> is_split_into_words

* Fix tests

* Fix #7277

* Apply style

* Add a full training pipeline test

* Apply style

* first version

* finish test docs readme model/config/tokenization class

* apply make style and make quality

* fix layoutlm GitHub link

* fix conflict in index.rst and add layoutlm to pretrained_models.rst

* fix bug in test_parents_and_children_in_mappings

* reformat modeling_auto.py and tokenization_auto.py

* fix bug in test_modeling_layoutlm.py

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

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

* remove inh, add tokenizer fast, and update some doc

* copy and rename necessary class from modeling_bert to modeling_layoutlm

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* add mish to activations.py, import ACT2FN and import logging from utils
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Copy code from Bert to Roberta and add safeguard script

* Fix docstring

* Comment code

* Formatting

* Update src/transformers/modeling_roberta.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Add test and fix bugs

* Fix style and make new comand
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* save hostname

* Added RobBERT-v2 model card

* minor Tweaks
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

This PR includes the model card for the IXAmBERT model which has been recently uploaded to the huggingface repository.

fix to match `distillation.py:        self.alpha_encoder_loss`

[fsmt] rewrite SinusoidalPositionalEmbedding + USE_CUDA test fixes + new TranslationPipeline test (#7224)

* fix USE_CUDA, add pipeline

* USE_CUDA fix

* recode SinusoidalPositionalEmbedding into nn.Embedding subclass

was needed for torchscript to work - this is now part of the state_dict, so will have to remove these keys during save_pretrained

* back out (ci debug)

* restore

* slow last?

* facilitate not saving certain keys and test

* remove no longer used keys

* style

* fix logging import

* cleanup

* Update src/transformers/modeling_utils.py
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* fix bug in max_positional_embeddings

* rename keys to keys_to_never_save per suggestion, improve the setup

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

Two new pre-trained models "vinai/bertweet-covid19-base-cased" and "vinai/bertweet-covid19-base-uncased" are resulted by further pre-training the pre-trained model "vinai/bertweet-base" on a  corpus of 23M COVID-19 English Tweets for 40 epochs.

* fix compute_metrics_fn

* p.predictions -> preds

* apply suggestions