GitLab

* Update postporcessing accordingly to use SQuAD metric.

* Update assets accordingly based on SQuAD metrics.

* Fix function naming error.

* Add seq2seq example for QnA on SQuAD Dataset.

* Changes from review - Fixing styling mistakes.

* Added how to example in README, simplified the access to dataset's preprocess function.

* Added tests for the seq2seq QA example.

* Change dataset column name to fix tests.

* Fix test command mistake.

* Add missing argument 'ignore_pad_token_for_loss' from DataTrainingArguments.

* Add missing argument 'num_beams' from DataTrainingArguments.

* Fix processing of output predicted token ids so that tokenizer decode gets appropriate input. Updated assertion conditions on the tests.

* #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

* 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

* 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

* 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>

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

* Last example

* adds metric prefix.

* update tests to include prefix

* modify qa-trainer

* fix flax model

* Add option to long only once in multinode training

* Use an alternate property

* add headers to main doc

* Apply suggestions from code review

* update

* upload