GitLab

* Tmp.

* Fixing BC for question answering with long context.

* Capping model_max_length to avoid tf overflow.

* Bad workaround bugged roberta.

* Fixing name.

* Allow dataset to be an optional argument for (Distributed)LengthGroupedSampler

* Fix

* Symbolic trace dynamic axes support for BERT like models (albert, bert, distilbert, mobilebert, electra, megatron-bert)
* Sanity checks before tracing that make sure the model to trace is supported
* Adapted to PyTorch 1.9
Co-authored-by: Michael Benayoun <michael@huggingface.co>

* Improve error message when loading models from Hub

* Adjust error message wording

* Fixing empty prompts for text-generation when BOS exists.

* Fixing odd case with Pegasus.

* Fixing Bert is Assertion Error.

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update Tatoeba conversion

* update no_* argument

Changes the order so that the no_* argument is created after the original argument AND sets the default for this no_* argument to False

* import copy

* update test

* make style

* Use kwargs to set default=False

* make style

* ✨ update image classification example

* 📌 update reqs

* Fix broken link to distill models

* Missing symbol

* Fix spaces

* Add layer-wise scaling

* Add reorder & upcasting argument

* Add OpenAI GPT-2 weight initialization scheme

* start `layer_idx` count at zero for consistency

* disentangle attn and reordered and upscaled attn function

* rename `scale_attn_by_layer` to `scale_attn_by_layer_id`

* make autocast from amp compatible with pytorch<1.6

* fix docstring

* style fixes

* Add fixes from PR feedback, style tweaks

* Fix doc whitespace

* Reformat

* First pass scale_attn_by_layer_idx and reorder_and_upcast_attn tests

* Rename scale_attn_by_layer_idx, add tip

* Remove extra newline

* add test for weight initialization

* update code format

* add assert check weights are fp32

* remove assert

* Fix incorrect merge

* Fix shape mismatch in baddbmm

* Add generation test for Mistral flags
Co-authored-by: leandro <leandro.vonwerra@spoud.io>
Co-authored-by: Keshav Santhanam <keshav2@stanford.edu>
Co-authored-by: J38 <jebolton@stanford.edu>

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>