GitLab

help for `ModelArguments.gradient_checkpointing` should be
"If True, use gradient checkpointing to save memory
at the expense of slower backward pass."
not "Whether to freeze the feature extractor layers of the model."
(which is duplicated from `freeze_feature_extractor` arg)

* fix distiller

* fix style

* Fixed train_test_split test_size argument

* `Seq2SeqTrainer` set max_length and num_beams only when non None  (#12899)

* set max_length and num_beams only when non None

* fix instance variables

* fix code style

* [FLAX] Minor fixes in CLM example (#12914)

* readme: fix retrieval of vocab size for flax clm example

* examples: fix flax clm example when using training/evaluation files

* Fix module path for symbolic_trace example
Co-authored-by: cchen-dialpad <47165889+cchen-dialpad@users.noreply.github.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* readme: fix retrieval of vocab size for flax clm example

* examples: fix flax clm example when using training/evaluation files

* Add new multiple-choice example, remove old one

cc @patil-suraj

* Allow validation split when loading dataset from local file

* Flax clm & t5, enable validation split for datasets loaded from local file

* fix_torch_device_generate_test

* remove @

* finish

* correct script

* correct script

* fix_torch_device_generate_test

* remove @

* start adding tests

* correct wav2vec2 pretraining

* up

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* update scripts

* add copyright

* add logging

* cleanup

* add z loss

* add readme

* shard description

* update readme

* Update Transformers README, rename token_classification example to token-classification to be consistent with the others

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

* Add README for TF token classification

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

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

* Adding TF translation example

* Fixes and style pass for TF translation example

* Remove unused postprocess_text copied from run_summarization

* Adding README

* Review fixes

* Move changes to model.config to after we've initialized the model

* Allow ByT5 type in Flax T5 script

* use T5TokenizerFast

* change up tokenizer config

* model_args

* reorder imports

* Update run_t5_mlm_flax.py

* Adding a TF summarization example

* Style pass

* Style fixes

* Updates for review comments

* Adding README

* Style pass

* Remove unused import

* fix_torch_device_generate_test

* remove @

* fix save problem

Successfully logging this requires Pytorch. For the purposes of this script we are not using Pytorch.

* fix_torch_device_generate_test

* remove @

* finish

* Validation split percentage to be used for custom data files also

Issue same as https://github.com/huggingface/transformers/issues/12406 fixed for pytorch branch run_mlm.py

* Validation split added in the right place

* Update run_clm.py

* validation split added for custom files

* Validation split added for custom files

* Update run_plm.py

* fixed validation split for custom files as input for pytorch examples in lm

* Update run_clm_no_trainer.py

* args modified

* add adafactor

* Update examples/flax/language-modeling/run_mlm_flax.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix_torch_device_generate_test

* remove @

* up

* up

* correct

* upload
Co-authored-by: Patrick von Platen <patrick@huggingface.co>