GitLab

* add test for glue

* add tests for clm

* fix clm test

* add summrization tests

* more tests

* fix few tests

* add test for t5 mlm

* fix t5 mlm test

* fix tests for multi device

* cleanup

* ci job

* fix metric file name

* make t5 more robust

* step start from 1

* Updated cur_step calcualtion

* remove sum for list flattening

* change to chain(*)

* make chain object a list

* delete empty lines

per sgugger's suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* #12789 Replace assert statements with exceptions

* fix-copies: made copy changes to utils_qa.py in examples/pytorch/question-answering and examples/tensorflow/question-answering

* minor refactor for clarity

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* use Repository for push_to_hub

* update readme

* update other flax scripts

* update readme

* update qa example

* fix push_to_hub call

* fix typo

* fix more typos

* update readme

* use abosolute path to get repo name

* fix glue script

* flax qa example

* Updated README:  Added Large model

* added utils_qa.py FULL_COPIES

* Updates:
1. Copyright Year updated
2. added dtype arg
3. passing seed and dtype to load model
4. Check eval flag before running eval

* updated README

* updated code comment

* Add long-overdue link to the Google TRC project

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>

* flax ner example

* added task to README

* updated readme

* 1. ArgumentParser -> HfArgumentParser
2. step-wise logging,eval and save

* added requirements.txt

* added progress bar

* updated README

* added check_min_version

* updated training data permuattion with JAX

* added metric lib to requirements

* updated readme table

* fixed imports

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* examples: add keep_linebreaks option to text dataset loader for all CLM examples

* examples: introduce new keep_linebreaks option as data argument in CLM examples

* fix_torch_device_generate_test

* remove @

* improve docs for clm

* speed-ups

* correct t5 example as well

* push final touches

* Update examples/flax/language-modeling/README.md

* correct docs for mlm

* Update examples/flax/language-modeling/README.md
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* update

* up

* fix

* remove f-stings

* correct readme

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix typo in example/text-classification README

* add space to align the table

* readme: fix retrieval of vocab size for flax clm example

* examples: fix flax clm example when using training/evaluation files

cc @patil-suraj

* Allow validation split when loading dataset from local file

* Flax clm & t5, enable validation split for datasets loaded from local file

* Allow ByT5 type in Flax T5 script

* use T5TokenizerFast

* change up tokenizer config

* model_args

* reorder imports

* Update run_t5_mlm_flax.py

* fix_torch_device_generate_test

* remove @

* fix save problem

Successfully logging this requires Pytorch. For the purposes of this script we are not using Pytorch.

* fix_torch_device_generate_test

* remove @

* finish

* add adafactor

* Update examples/flax/language-modeling/run_mlm_flax.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix_torch_device_generate_test

* remove @

* up

* up

* correct

* upload
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* up

* fix_torch_device_generate_test

* remove @

* push

* fix_torch_device_generate_test

* remove @

* add logging steps

* correct training scripts

* correct readme

* correct

* begin script

* clean example, add readme

* update readme

* remove decay mask

* remove masking

* update readme & make flake happy

* fix_torch_device_generate_test

* remove @

* finish

* finish

* correct style