GitLab

* update desc for map in all examples

* added plm

* suggestions

* [WIP] Model card defaults

* finetuned_from default value

* Add all mappings to the mapping file

* Be more defensive on finetuned_from arg

* Add default task tag

* Separate tags from tasks

* Edge case for dataset

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

* [lm examples] Replicate --config_overrides addition to other LM examples

* Removing no trainer files changes

* Update README
Co-authored-by: Kumar Abhishek <kabhishek@expedia.com>

* Use text_column_name variable instead of "text"

`text_column_name` was already defined above where I made the changes and it was also used below where I made changes.

This is a very minor change. If a dataset does not use "text" as the column name, then the `tokenize_function` will now use whatever column is assigned to `text_column_name`. `text_column_name` is just the first column name if "text" is not a column name. It makes the function a little more robust, though I would assume that 90% + of datasets use "text" anyway.

* black formatting

* make style
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>

* Don't log anything before logging is setup in examples

* Last example

* 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>

* Add mlm collator pad to multiple option (#10627)

* Use padding to 8x in run mlm (#10627)

* 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

* Auto-resume training from checkpoint

* Update examples/text-classification/run_glue.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Roll out to other examples
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Restrain tokenizer.model_max_length default

* Fix indent

* Allow example to use a revision and work with private models

* Copy to other examples and template

* Styling

* replaced jnp.split + removing textual model inputs + ensuring warmup_steps > 0

* Add automatic dataset splitting in language-modeling examples