GitLab

* fix_torch_device_generate_test

* remove @

* up

* fix_torch_device_generate_test

* remove @

* push

* fix_torch_device_generate_test

* remove @

* add logging steps

* correct training scripts

* correct readme

* correct

* NER example for Tensorflow

* Style pass

* Style pass

* Added metric computation on the evaluation set

* Style pass

* Fixed label masking

* Style pass

* Style pass

* fix_torch_device_generate_test

* remove @

* upload

* finish dataset streaming

* adapt readme

* finish

* up

* up

* up

* up

* Apply suggestions from code review

* finish

* make style

* make style2

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

* begin script

* clean example, add readme

* update readme

* remove decay mask

* remove masking

* update readme & make flake happy

* clip style example

* fix post init

* add requirements

* update readme, few small fixes

Thanks a lot @BirgerMoell

* Validation split added: custom data files

Validation split added in case of no validation file and loading custom data

* Updated documentation with custom file usage

Updated documentation with custom file usage

* Update README.md

* Update README.md

* Update README.md

* Made some suggested stylistic changes

* Used logger instead of print.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Made similar changes to add validation split

In case of a missing validation file, a validation split will be used now.

* max_train_samples to be used for training only

max_train_samples got misplaced, now corrected so that it is applied on training data only, not whole data.

* styled

* changed ordering

* Improved language of documentation
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Improved language of documentation
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fixed styling issue

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

* Add TPU README

* Apply suggestions from code review

* Update examples/research_projects/jax-projects/README.md

* Update examples/research_projects/jax-projects/README.md
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Stefan Schweter <stefan@schweter.it>

* fix_torch_device_generate_test

* remove @

* upload

* finish doc

* Apply suggestions from code review
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* finish
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* fix_torch_device_generate_test

* remove @

* start flax wav2vec2

* save intermediate

* forward pass has correct shape

* add weight norm

* add files

* finish ctc

* make style

* finish gumbel quantizer

* correct docstrings

* correct some more files

* fix vit

* finish quality

* correct tests

* correct docstring

* correct tests

* start wav2vec2 pretraining script

* save intermediate

* start pretraining script

* finalize pretraining script

* finish

* finish

* small typo

* finish

* correct

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* make style

* push
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* add philosophy doc

* fix typos

* update doc

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* address Patricks suggestions

* add a training example and fix typos

* jit the training step

* jit train step

* fix example code

* typo

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Added one more confirmed speaker, zoom links and gcal event links

* fix_torch_device_generate_test

* remove @

* finish

* finish

* correct style

* add readme

* update readme and add requirements

* Update examples/flax/summarization/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix_torch_device_generate_test

* remove @

* add length computatan

* finish masking

* finish

* upload

* fix some bugs

* finish

* fix dependency table

* correct tensorboard

* Apply suggestions from code review

* correct processing

* slight change init

* correct some more mistakes

* apply suggestions

* improve readme

* fix indent

* Apply suggestions from code review
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* correct tokenizer

* finish

* finish

* finish

* finish
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* Tensorflow MLM example

* Add CLM example

* Style fixes, adding missing checkpoint code from the CLM example

* Fix TPU training, avoid massive dataset warnings

* Fix incorrect training length calculation for multi-GPU training

* Fix incorrect training length calculation for multi-GPU training

* Refactors and nitpicks from the review

* Style pass

* Adding README

* fix_torch_device_generate_test

* remove @

* finish

* correct summary writer

* correct push to hub

* fix indent

* finish

* finish

* finish

* finish

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

* fix_torch_device_generate_test

* remove @

* boom boom

* correct typos

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review
Co-authored-by: Suzana Ilić <io.suzanai@gmail.com>

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Suzana Ilić <io.suzanai@gmail.com>

* added cotext manager to datasets map

* fixed style and spaces

* fixed warning of deprecation

* changed desc

Before the code could not be used for validation only because of this line:
extension = data_args.train_file.split(".")[-1]
was assuming that extension must be extracted from the training dataset. This line would run regardless of the training or validation options of the user. This would lead to an error if the user only wants to run an evaluation only and does not want to do train (because the training file does not exist). I modified it to extract extension from the training file if the user wants to do train and extract it from the validation file if the user wants to run eval. This way the code can be used for both training and validation separately.

* added log_level

* fix comment

* fixed log_level

* Trigger CI

* Unfied logging

* simplified args for log_level