GitLab

Thanks a lot @BirgerMoell

* fix lm_head.decoder.weight ignore_key handling

* fix the mutable class variable

* Update src/transformers/models/roberta/modeling_roberta.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* replicate the comment

* make deterministic
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* fixing bug with param count without embeddings

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

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

* 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>

* Import fix_inits handling of duplicate definitions.

* Style fix

* 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>

torch_xla currently has its own synchronization primitives, so use
xm.rendezvous(tag) instead.

* fix_torch_device_generate_test

* remove @

* fix test

* 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>

* add a test for a WordLevel tokenizer

* adapt common test to new tokenizer

* 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>

* First pass

* More progress

* Add support for local attention

* More improvements

* More improvements

* Conversion script working

* Add CanineTokenizer

* Make style & quality

* First draft of integration test

* Remove decoder test

* Improve tests

* Add documentation

* Mostly docs improvements

* Add CanineTokenizer tests

* Fix most tests on GPU, improve upsampling projection

* Address most comments by @dhgarrette

* Remove decoder logic

* Improve Canine tests, improve docs of CanineConfig

* All tokenizer tests passing

* Make fix-copies and fix tokenizer tests

* Fix test_model_outputs_equivalence test

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

* Address some more comments

* Add support for hidden_states and attentions of shallow encoders

* Define custom CanineModelOutputWithPooling, tests pass

* First pass

* More progress

* Add support for local attention

* More improvements

* More improvements

* Conversion script working

* Add CanineTokenizer

* Make style & quality

* First draft of integration test

* Remove decoder test

* Improve tests

* Add documentation

* Mostly docs improvements

* Add CanineTokenizer tests

* Fix most tests on GPU, improve upsampling projection

* Address most comments by @dhgarrette

* Remove decoder logic

* Improve Canine tests, improve docs of CanineConfig

* All tokenizer tests passing

* Make fix-copies and fix tokenizer tests

* Fix test_model_outputs_equivalence test

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

* Address some more comments

* Make conversion script work for Canine-c too

* Fix tokenizer tests

* Remove file
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix ids_to_tokens naming error in tokenizer of deberta v2

* Update tokenization_deberta_v2.py

Add bos_token and eos_token.

* format code
Co-authored-by: Jipeng Huang <jihuan@microsoft.com>

* Fix default bool in argparser

* Add more to test

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

* Add option to save on each training node

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Address review comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

this PR is fixing an incorrect attribute - probably some tests are needed?

* [WIP] Easily train a new fast tokenizer from a given one

* Fix test

* Roll out to other tokenizers and add tests

* Fix bug with unk id and add emoji to test

* Really use something different in test

* Implement special tokens map

* Map special tokens in the Transformers tokenizers

* Fix test

* Make test more robust

* Fix test for BPE

* More robust map and test

Co-authored-by SaulLu

* Test file

* Stronger tests
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>

* Map unk token for Wordpiece and address review comment

* Fix lowercase test and address review comment

* Fix all tests

* Simplify test

* Fix tests for realsies

* Easily train a new fast tokenizer from a given one - tackle the special tokens format (str or AddedToken) (#12420)

* Propose change in tests regarding lower case

* add new test for special tokens types

* put back the test part about decoding

* add feature: the AddedToken is re-build with the different mapped content

* Address review comment: simplify AddedToken building
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

Co-authored-by: Jipeng Huang <jihuan@microsoft.com>

* 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 TFWav2Vec2 SpecAugment

* Invert masks

* Feedback changes

* Add OOV error to ASR models

* Feedback changes

* Rename target to labels in DetrFeatureExtractor

* Update DetrFeatureExtractor tests accordingly

* Improve docs of DetrFeatureExtractor

* Improve docs

* Make style

* [models] respect dtype of the model when instantiating it

* cleanup

* cleanup

* rework to handle non-float dtype

* fix

* switch to fp32 tiny model

* improve

* use dtype.is_floating_point

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

* fix the doc

* recode to use explicit torch_dtype_auto_detect, torch_dtype args

* docs and tweaks

* docs and tweaks

* docs and tweaks

* merge 2 args, add docs

* fix

* fix

* better doc

* better doc
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.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