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* Fix distributed evaluation

* Use logger

* [examples/seq2seq] fix t5 examples

This PR:
* fixes T5 examples to include `--source_prefix` - it's **not** optional. If you give it a try you will see that you get 10x worse bleu scores w/o it. w/ `27.6849`, w/ `2.374`
* added a normal translation example w/o the peculiarities of MBart and T5
* reduces the default max samples to 50 so it's much faster to test quickly

summarization seems to be broken for t5 score-wise: https://github.com/huggingface/transformers/issues/10733

@sgugger

* specify explicitly the t5 models requiring the special handling

* one more

* update the t5 summarization example to use cnn_dailymail

* move max*samples into the top level README.md

* better wording

* better wording

* Added check to ensure model name passed to from_pretrained and model are the same

* Added test to check from_pretrained throws assert error when passed an incompatiable model name

* Modified assert in from_pretrained with f-strings. Modified test to ensure desired assert message is being generated

* Added check to ensure config and model has model_type

* Fix FlauBERT heads

Co-authored-by: vimarsh chaturvedi <vimarsh chaturvedi>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* do not gobble certain kinds of requests.ConnectionError

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

This commit fixes a bug in the LengthGroupSampler where if
model_input_name is not set, the default value is None instead of
"input_ids"

* add initial script

* finish script

* add shell script example

* accept chars_to_ignor as cl arg

* align the script with other example scripts

* add torchaudio dep

* wav2vec2: support datasets other than LibriSpeech

* Formatting run_asr.py to pass code quality test

* bundled orthography options and added verbose logs

* fixing a typo in timit fine-tuning script

* update comment for clarity

* resize_lm_head and load custom vocab from file

* adding a max_duration_in_seconds filter

* do not assign `duration_filter` lambda, use a def

* log untransliterated text as well

* fix base model for arabic

* fix duration filter when target_sr is not set

* drop duration_in_seconds when unneeded

* script for wav2vec2-large-lv60-timit-asr

* fix for "tha" in arabic corpus (huggingface#10581)

* adding more options to work with common_voice

* PR feedback (huggingface#10581)

* small README change

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Fix code quality

* Adjust tol in assert_almost_equal due to very small difference between model output, ranging 0.0010 - 0.0016

* Remove redundant ElectraPooler

* save intermediate

* adapt

* correct bert flax design

* adapt roberta as well

* finish roberta flax

* finish

* apply suggestions

* apply suggestions
Co-authored-by: Chris Nguyen <anhtu2687@gmail.com>

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added debug prints

* Added config

* Added prints

* Added prints

* Added extra samples to SequentialDistributedSampler

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

* Added deubg prints

* Removed extra prints

* Making predicitons and labels multiple of batchsize

* updated number of microbatches

* Removed extra prints

* Made start_remainder similar to DistributedSamplerWithLoop

* Minor spacing update

* Added debug prints

Added config

Added prints

Added prints

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

Added extra samples to SequentialDistributedSampler

Added deubg prints

Removed extra prints

Making predicitons and labels multiple of batchsize

updated number of microbatches

Removed extra prints

Squashing redundant commits

* Made start_remainder similar to DistributedSamplerWithLoop

Minor spacing update

Made start_remainder similar to DistributedSamplerWithLoop

* Test and styling

* Rename test
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Apply black before checking copies

* Fix for class methods

* Deal with lonely brackets

* Remove debug and add forward changes

* Separate copies and fix test

* Add black as a test dependency

* document resuming in examples

* fix

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

* put trainer code last, adjust notes
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [Issue template] need to update/extend who to tag

1. need to update who to tag for `tensorflow`
2. also requesting to add someone to tag for models hub issues - perhaps separate sub-entries for UI and code - e.g. I don't know who to tag for broken models: https://github.com/huggingface/transformers/issues/10726

Thanks.

* model hub instructions

* s/jplu/LysandreJik/

* deepspeed checkpoint loading code plus tests

* style

* style

* [doc] [testing] extend -k section

This PR adds more examples on using `pytest -k` - I always forget that I want to use `-k A OR B` when I want several tests - I keep trying AND and it doesn't match any.

* style

* pass hf optimizer and scheduler to deepspeed if not specified in ds config

* pass hf optimizer and scheduler to deepspeed if not specified in ds config

* update

* make init_deepspeed support config dict

* fix docstring formatting

* clean up trainer's comments

* add new tests

* fix type

* composit argparse doesn't work

* style

* add a new test, rename others

* document new functionality

* complete tests, add docs

* style

* correct level

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

* add new methods to the doc

* must tell DS we are using a non-native optimizer

* add protection against cpu_offload + HF optimizer combo

* fix the cli overrides

* sync docs + tests

* restore AdamW

* better docs

* need new version

* no longer needed

* remove outdate information

* refactor duplicated code
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Patches full import failure when sentencepiece is not installed

* Dummies :)

* Patches the full import failure and adds a test

* Add comment

* Add DistributedSamplerWithLoop

* Fix typo

* Test and small fix

* Fix DeBERTa-v2 variable assignment

* Fix conversational pipeline test

* Examples version update

* Refactor a bit

* All version updates

* Fixes

* README cleanup

* Post-release/patch

* Fixes

* More fixes

* Tests

* More fixes

* Moar fixes

* Make commands and update setup

* Replace spaces with weird tabs

* Fix test

* Style

* make flax tests pytorch independent

* fix typo

* finish

* improve circle ci

* fix return tensors

* correct flax test

* re-add sentencepiece

* last tokenizer fixes

* finish maybe now

* independent training / eval with local files

* remove redundant assert

* Add minimum version check in examples

* Style

* No need for new line maybe?

* Add helpful comment

* Tests run on Docker
Co-authored-by: Morgan <funtowiczmo@gmail.com>

* Comments from code review

* Reply to itself

* Dependencies
Co-authored-by: Morgan <funtowiczmo@gmail.com>

* Update super class reference

* Update default value reference

* Update src/transformers/models/wav2vec2/feature_extraction_wav2vec2.py

* Fix format style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>