GitLab

* 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

1. Fixes evaluation errors popping up when you train/eval on squad v2 (one was newly encountered and one that was previously reported Running SQuAD 1.0 sample command raises IndexError #15401 but not completely fixed).
2. Removes boolean arguments that don't use store_true. Please, don't use these: *ANY non-empty string is being converted to True in this case and this clearly is not the desired behavior (and it creates a LOT of confusion).
3. All no-trainer test scripts are now saving metric values in the same way (with the right prefix eval_), which is consistent with the trainer-based versions.
4. Adds forgotten model.eval() in the no-trainer versions. This improved some results, but not everything (see the discussion in the end). Please, see the F1 scores and the discussion below.

* Add first draft

* Improve script and README

* Improve README

* Apply suggestions from code review

* Improve script, add link to resulting model

* Add corresponding test

* Adjust learning rate

* 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

* Add first draft from previous PR

* First draft

* Improve README and remove num_labels

* Make script more aligned with other scripts

* Improve README and apply suggestion from code review

* 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>

* Change tracking to store_true

* Remove step param and use it in the log dictionary directly

* use vars(args) when passing args to init_trackers

* Include tracking tests since tensorboard is already a dep

args.model_name_or_path -> args.config_name
fix it

Move declaration of log streams to before tests, so that results won't get compounded on top of each other

Adds checkpoint prefixes to the gitignore if `push_to_hub` is used along with `checkpointint_steps`

* Fixed some bugs involving saving during epochs
* Added tests mimicking the existing examples tests
* Added in json exporting to all `no_trainer` examples for consistency 

Adds logging and save/loading to the Accelerate scripts
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix formatting and remove use_auth

* Add use_auth_token to Flax examples

* [examples] max samples can't be bigger than then len of dataset

* do tf and flax

* Prevent overwriting matched with mismatched metrics

* Fix style

* Big file_utils cleanup

* This one still needs to be treated separately

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

at transformers/examples/pytorch/contrastive-image-text

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

cna -> can