GitLab

In BartForConditionalGeneration.forward, if labels are provided,
   decoder_input_ids are set to the labels shifted to the right.
   This is problematic: if decoder_inputs_embeds is also set,
   the call to self.model, which eventually gets to BartDecoder.forward,
   will raise an error.
   The fix is quite simple, similar to what is there already in
   BartModel.forward. Mainly, we should not
   compute decoder_input_ids if decoder_inputs_embeds is provided.
Co-authored-by: Silviu Vlad Oprea <silviuvo@amazon.co.uk>

* 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