GitLab

* Restore broken merge

* Additional args, DDP, remove CommonLanguage

* Update examples for V100, add training results

* Style

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove custom datasets for simplicity, apply suggestions from code review

* Add the attention_mask flag, reorganize README
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed wrong warning

* Raise a warning when `max_length` is given with wrong `truncation`

* Update the error message

* Update the warning message
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update

* add to docs and init

* make fix-copies

* Init multibert checkpoint conversion script

* Rename conversion script

* Fix MultiBerts Conversion Script

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* use Repository for push_to_hub

* update readme

* update other flax scripts

* update readme

* update qa example

* fix push_to_hub call

* fix typo

* fix more typos

* update readme

* use abosolute path to get repo name

* fix glue script

* missing requirement

* list both

* add a note about tokenizer

* add  tips to load model is less RAM

* fix link

* fix more links

* Fix length of IterableDatasetShard and add test

* Add comments

* Enable readme link synchronization

* Style

* Reuse regex pattern

* Apply suggestions

* Update

Fix LayoutLM ONNX test error

* Keras callback to push to hub each epoch, or after N steps

* Reworked the callback to use Repository

* Use an Enum for save_strategy

* Style pass

* Correct type for tokenizer

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/keras_callbacks.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Adding print message to the final upload

* Adding print message to the final upload

* Change how we wait for the last process to finish

* is_done is a property, not a method, derp

* Docstrings and documentation

* Style pass

* Style edit

* Docstring reformat

* Docstring rewrite

* Replacing print with internal logger
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Allows models to be compiled without a loss, and to use the internal loss computations for training with fit()

Co-authored-by: quantitative-technologies <james.hirschorn@quantitative-technologies.com>
Co-authored-by: quantitative-technologies <james.hirschorn@quantitative-technologies.com>

* Fix type annotations for `distributed_concat()`

* Use Any

[Trainer] Make sure shown loss in distributed training is correctly averaged over all workers (#13681)

* push

* improve tr loss gather