GitLab

* 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>

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

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

* Allow validation split when loading dataset from local file

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

* fix_torch_device_generate_test

* remove @

* fix save problem

* 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 @

* push

* fix_torch_device_generate_test

* remove @

* add logging steps

* correct training scripts

* correct readme

* correct

* fix_torch_device_generate_test

* remove @

* finish

* finish

* correct style

* fix_torch_device_generate_test

* remove @

* finish

* correct summary writer

* correct push to hub

* fix indent

* finish

* finish

* finish

* finish

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

* first draft

* max_seq_length => block_size

* fix arg names

* fix typos

* fix loss calculation

* add max examples, fix  train eval steps, metrics

* optimizer mask

* fix perpelexity, metric logging

* fix logging

* data_collator = > data_loader

* refactor loss_fn

* support single GPU

* pass distributed to write_metric

* fix jitting

* fix single device training

* fix single device metrics

* close inner progress bars once finished

* add overwrite_cache arg

* ifx dataset caching issue

* add more logs

* few small fixes,

* address nicholas suggestions

* fix docstr

* address patricks suggestions

* make flake happy

* pass new new_dropout_rng to apply_gradients

* reset train metrics after every epoc

* remove distributed logis, small fixes

* create custom model on the flight

* better wording

* add update_from_string

* cleanup

* cleanup

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

* more bool options

* style

* fix logger

* add test

* add the doc

* assert on conflict of options
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix overflow in perplexity calc

* use inf

* fix

* Add option to long only once in multinode training

* Use an alternate property

* Autogenerate model cards from the Trainer

* ModelCard deprecated

* Fix test

* Style

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

* Address review comments

* Quality

* With all metadata

* Metadata

* Post-merge conflict mess

* Data args and all examples

* Default license and languages when possible
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Split checkpoint from model_name_or_path in examples

* Address review comments

* Address review comments

* added changes for uniformity

* modified files

* corrected typo

* fixed qa scripts

* fix typos

* fixed predict typo in qa no trainer

* fixed test file

* reverted trainer changes

* reverted trainer changes in custom exmaples

* updated readme

* added changes in deepspeed test

* added changes for predict and eval

* Initial support for upload to hub

* push -> upload

* Fixes + examples

* Fix torchhub test

* Torchhub test I hate you

* push_model_to_hub -> push_to_hub

* Apply mixin to other pretrained models

* Remove ABC inheritance

* Add tests

* Typo

* Run tests

* Install git-lfs

* Change approach

* Add push_to_hub to all

* Staging test suite

* Typo

* Maybe like this?

* More deps

* Cache

* Adapt name

* Quality

* MOAR tests

* Put it in testing_utils

* Docs + torchhub last hope

* Styling

* Wrong method

* Typos

* Update src/transformers/file_utils.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Address review comments

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

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

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

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fix _LazyModule hasher error

* reword

* clarify why we get the warning here

* Update examples/language-modeling/run_clm.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* wording

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

these get concatenated without whitespace, so fix it

* The 'warn' method is deprecated

* fix test

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

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

* Add minimum version check in examples

* Style

* No need for new line maybe?

* Add helpful comment

* reverted changes of logging and saving metrics

* added max_sample arguments

* fixed code

* white space diff

* reformetting code

* reformatted code

* updated logging and saving metrics

* space removal

* make executable

* make executable

* same for the template

* cleanup