GitLab

* 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>

* [deepspeed / m2m_100] make deepspeed 3 work with layerdrop

* fix

* revert last

* Fix batch size in evaluation loop

* remove debug statement

* [Flax] Raise a warning if model weights are not in float32

* apply suggestions and few small changes

* reorder wording for better readability

* Enabling `Tapex` in table question answering pipeline.

* Questions are independant for Tapex, making the test respect that.

* Missing extra space.

* added doctest changes for electra

* fixed doctest tests

* updated changes

* 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

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Delete strata

* Add defensive check for config num_labels and id2label

* Actually check value...

* Only warning inside init plus better error message

* Make Funnel Test less flaky
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Setup-dependent pip cache

* Do not restore from old versions

* Improve CTRL doctests

* Fix `CTRLForSequenceClassification` flakiness with inconsistent losses

* Remove unused

* Fixup

* Add CTRL to documentation_tests.txt

* Fix control code not being first

* Add output assertions

* Change from sshleifer/tiny-ctrl -> ctrl

* Run `make fixup`

* apply `list` to output logits shape for clarity

* Reduce output loss precision to make assertion more robust

* Add assertion of control code being first

* Fix docstyle

* upper case sentence following control code

* Weird bug fixes

* Add a better generation example
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Required the values GPTJ unfortunately cannot run the model =)

* Added the file to the doc tests

* Run Fixup and Style

* Fixed with the test versions of gptj. Ran Style and Fixup.

* Trigger ci

* A Minor Change to License

* Fixed spacing added to the benchmark_utils. Then refactored tests to const variables.

* Removed strings that were included as default parameters anyways.
Co-authored-by: ArEnSc <xx.mike.chung.xx@gmail.com>

* Fix setters of *_token_id properties of SpecialTokensMixin

* Test setters of common tokens ids

* Move to a separate test checks of setters of tokens ids

* Add independent test for ByT5

* Add Canine test

* Test speech to text

* [Doctests] Fix all T5 doc tests

* make style

* Update docs/source/en/model_doc/t5.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply Sylvains comments

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

* Normalize using a logits warper

* Add a flag in `generate` to support the logit renormalization

* Add in RAG

* add Bigbird ONNX config

* [FlaxWav2Vec2Model] Fix bug in attention mask

* more fixes

* add (Flax)SpeechEncoderDecoderModel PT-FX cross-test

* [FlaxSpeechEncoderDecoder] Fix input shape bug in weights init

* make style

* start working

* fix: ReformerForQA doctest

* fix: ReformerModelWithLMHead doctest

* fix: ReformerModelForSC doctest

* fix: ReformerModelForMLM doctest

* add: documentation_tests.txt

* make fixup

* change: ReformerModelForSC doctest

* change: checkpoint

* Moved functions to pytorch_utils.py

* isort formatting

* Reverted tf changes

* isort, make fix-copies

* documentation fix

* Fixed Conv1D import

* Reverted research examples file

* backward compatibility for pytorch_utils

* missing import

* isort fix

* Change the chunk_iter function to handle

the subtle cases where the last chunk gets ignored since all the
data is in the `left_strided` data.

We need to remove the right striding on the previous item.

* Remove commented line.

* Updated assertions to exceptions

* updated assertions to exceptions

* bug fixes

* fix-copies

* Update modeling_ctrl.py

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

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

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

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

* Update modeling_led.py

* Update modeling_led.py

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

* add ort-trt benchmark script

* Update README.md

* ort version can be newer

* formatting

* specify ORT version

args.model_name_or_path -> args.config_name
fix it

This avoids an unnecessary call and avoids problems during
initialization of class hierarchies.
Co-authored-by: Samuel Melm <samuel.melm@stud.uni-heidelberg.de>

* First Pass All Tests Pass

* WIP

* Adding file to documentation tests

* Change the base model for the example in the doc test.

* Fix Code Styling by running
make fixup

* Called Style

* Reverted to gpt2 model rather than distill gpt2
Then used a token classification model over a sequence model for an example.

* Fix Styling Issue

* Hopefully ignores the formatting issue.
Co-authored-by: ArEnSc <xx.mike.chung.xx@gmail.com>

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

* add error message

* Use names in the error message

* allow ModelOutput

* rename to check_pt_tf_outputs and move outside

* fix style

* skip past_key_values in a better way

* Add comments

* improve code for label/loss

* make the logic clear by moving the ignore keys out

* fix _postprocessing_to_ignore

* fix _postprocessing_to_ignore: create new outputs from the remaining fields

* ignore past_key_values in TFGPT2 models for now

* make check_pt_tf_outputs better regarding names

* move check_pt_tf_models outside

* rename methods

* remove test_pt_tf_model_equivalence in TFCLIPModelTest

* Reduce TFViTMAEModelTest.test_pt_tf_model_equivalence

* move prepare_pt_inputs_from_tf_inputs outside check_pt_tf_models

* Fix quality

* Clean-up TFLxmertModelTester.test_pt_tf_model_equivalence

* Fix quality

* fix

* fix style

* Clean-up TFLEDModelTest.test_pt_tf_model_equivalence

* Fix quality

* add docstring

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

* update

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