GitLab

* Added accelerate gradient accumulation wrapper to run_image_classification_no_trainer.py example script

* make fixup changes

* PR comments

* changed input to Acceletor based on PR comment, ran make fixup

* Added comment explaining the sync_gradients statement

* Fixed lr scheduler max steps

* Changed run_clm_no_trainer.py script to use accelerate gradient accum wrapper

* Fixed all scripts except wav2vec2 pretraining to use accelerate gradient accum wrapper

* Added accelerate gradient accum wrapper for wav2vec2_pretraining_no_trainer.py script

* make fixup and lr_scheduler step inserted back into run_qa_beam_search_no_trainer.py

* removed changes to run_wav2vec2_pretraining_no_trainer.py script and fixed using wrong constant in qa_beam_search_no_trainer.py script

* zero chance anyone's using that constant no?

* `transformers-cli login` => `huggingface-cli login`

* `transformers-cli repo create` => `huggingface-cli repo create`

* `make style`

* Update no_trainer script for image-classification

* Update no_trainer scripts for language-modeling examples

* Remove unused variable

* Removing truncation from losses array for language modeling examples

* Fix ROUGE add example check and update README

* Stay consistent in values

* Migrate metric to Evaluate in pytorch examples

* Remove unused imports

Properly calculate the total train iterations and recalculate num epochs in no_trainer scripts (#17856)

* Add examples telemetry

* Alternative approach

* Add to all other examples

* Add to templates as well

* Put framework separately

* Same for TensorFlow

* improve no-trainer examples

* Trigger CI

* adding comment to clarify tracker init on main process

* Trigger CI

* Trigger CI

* Trigger CI

Fix metric calculation in examples and setup tests to run on multi-gpu for no_trainer scripts (#17331)

* Fix length in no_trainer examples

* Add setup and teardown

* Use new accelerator config generator to automatically make tests able to run based on environment

- Add --ignore_mismatched_sizes argument to classification examples

- Expand the error message when loading a model whose head dimensions are different from expected dimensions

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* Update all examples to properly calculate progress bar

* Propagate and fix imports

* add torch.no_grad when in eval mode

* make style quality

* Fixup all examples

* Fix multiple deletions of the same files in save_pretrained

* Add is_main_process argument

* Add first draft

* Improve README and run fixup

* Make script aligned with other scripts, improve README

* Improve script and add test

* Remove print statement

* Apply suggestions from code review

* Add num_labels to make test pass

* Improve README

* Improve README

* Make dataset_name argument optional

* Improve local data

* Fix bug

* Improve README some more

* Apply suggestions from code review

* Improve README
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* fix formatting and remove use_auth

* Add use_auth_token to Flax examples

* Update example

* Remove skip in tests