GitLab

* missing requirement

* list both

* Update run_glue.py

* Update run_glue.py

* Add model creation snippet to other scripts

* Fix style

* Add push_to_hub to no_trainer examples

* Quality

* Document integration

* Roll out to other examples

* Update torch.utils.data namespaces to the latest.

* Format

* Update Dataloader.

* Style

* fix typo in example/text-classification README

* add space to align the table

* added cotext manager to datasets map

* fixed style and spaces

* fixed warning of deprecation

* changed desc

* added log_level

* fix comment

* fixed log_level

* Trigger CI

* Unfied logging

* simplified args for log_level

* [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>

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

* Last example

* add relevant `desc` in examples

* require_version datasets>=1.8.0

* Add option to long only once in multinode training

* Use an alternate property

* add `dataset_name` to data_args and added accuracy metric

* added documentation for dataset_name

* spelling correction

* 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