GitLab

* add wav2vec2_alignment

* Update alignment.py

* Update examples/research_projects/wav2vec2/alignment.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update examples/research_projects/wav2vec2/alignment.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update examples/research_projects/wav2vec2/alignment.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update examples/research_projects/wav2vec2/alignment.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update README.md

* fix style

* fix imports

* fix multithread

* fix bash script

* [@anton-l] Style fixes and docstrings

* [@anton-l] Style fixes and docstrings

* Update alignment.py

fix blank id in backtrack
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: anton-l <aglozhkov@gmail.com>

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.19.4 to 3.19.5.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.19.4...v3.19.5

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Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.2.0 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.2.0...v3.2.1

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* Fix: update ltp word segmentation call in mlm_wwm

* Fix: update ltp word segmentation call in mlm_wwm

* Fix: update ltp word segmentation call in mlm_wwm

Bumps [mako](https://github.com/sqlalchemy/mako) from 1.2.0 to 1.2.2.
- [Release notes](https://github.com/sqlalchemy/mako/releases)
- [Changelog](https://github.com/sqlalchemy/mako/blob/main/CHANGES)
- [Commits](https://github.com/sqlalchemy/mako/commits

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* fixed bug which caused overwrite_cache to always be True (#18967).

* reformatting changes

* [JAX] Replace all jax.tree_* calls with jax.tree_util.tree_*

* fix double tree_util

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.3.0 to 6.5.1.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.3.0...6.5.1

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Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.3.0 to 6.5.1.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.3.0...6.5.1

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* add examples subfolder

* mention examples in codeparrot readme

* use Trainer optimizer and scheduler type and add output_dir as argument

* add example of text-to-python and python-to-text models

* mention the downstream examples in the readme

* fix typo

Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.1 to 6.3.0.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.0.1...6.3.0

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Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.1 to 6.3.0.
- [Release notes](https://github.com/jupyter/nbconvert/releases)
- [Commits](https://github.com/jupyter/nbconvert/compare/6.0.1...6.3.0

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* zero chance anyone's using that constant no?

* `transformers-cli login` => `huggingface-cli login`

* `transformers-cli repo create` => `huggingface-cli repo create`

* `make style`

Comparisons like
version.parse(torch.__version__) > version.parse("1.6")
are True for torch==1.6.0+cu101 or torch==1.6.0+cpu

version.parse(version.parse(torch.__version__).base_version) are preferred (and available in pytorch_utils.py

Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3.
- [Release notes](https://github.com/lepture/mistune/releases)
- [Changelog](https://github.com/lepture/mistune/blob/master/docs/changes.rst)
- [Commits](https://github.com/lepture/mistune/compare/v0.8.4...v2.0.3

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Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3.
- [Release notes](https://github.com/lepture/mistune/releases)
- [Changelog](https://github.com/lepture/mistune/blob/master/docs/changes.rst)
- [Commits](https://github.com/lepture/mistune/compare/v0.8.4...v2.0.3

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* Preliminary work on tokenizers

* Quality + fix tests

* Treat processors

* Fix pad

* Remove all uses of  in tests, docs and examples

* Replace all as_target_tokenizer

* Fix tests

* Fix quality

* Update examples/flax/image-captioning/run_image_captioning_flax.py
Co-authored-by: amyeroberts <amy@huggingface.co>

* Style
Co-authored-by: amyeroberts <amy@huggingface.co>

* ignore whitspaces for hash

* reformat code

* Update README.md

* Remove all uses of six

* fix quality

* add info about megatron training

* upload models and datasets from CodeParrot organization

* upload models and datasets from CodeParrot organization

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
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* Update examples/research_projects/codeparrot/README.md
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* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* fix typo and add comment about codeparrot vs megatron
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Fix RESOURCE_EXHAUSTED error for large datasets on Flax example scripts

* using np.permutation for creating batch_idx

* train_samples_idx -> training_samples_idx

* fix type hints

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* Fix typo.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* make fixup.

* Fix all is_torch_tpu_available 

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0

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Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0

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* deduplication draft

* update style

* update style test

* dummy test main

* rename modules

* rename functions

* return extremes in deduplicate_clusters

* update style

* cast str for gzip

* update doc string

* time processing

* use dataset map to compute minhash

* fill value for short token

* remove da map method

* update style

* use share object to multiprocess

* update style

* use f-string and minor fix
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* update style

* use module parameters

* change ds_dedup to ds_filter

* save ds_dedup

* mv test to script tests

* make jaccard threshold a parameter of deduplicate_dataset

* update style

* add doc strings

* update style

* add doc string for DuplicationIndex

* save files into data dir

* update readme

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* make near deduplication optional

* move near deduplication in README

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* use f string
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

Bumps [notebook](http://jupyter.org

) from 6.4.10 to 6.4.12.

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Bumps [notebook](http://jupyter.org

) from 6.4.10 to 6.4.12.

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* check

* update the RAG-end2end with new PL and RAY

* removed unwanted comments

- use CodeParrot scores of v1.1
- change evaluation command to use accelerate

* Raise RepoNotFoundError in case of 401

* Include changes from revert-17646-skip_repo_not_found

* Add a comment

* 💄 Code quality

* 💚 Update `get_from_cache` test

* 💚 Code quality & skip failing test

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.2 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.2...2.1.1

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Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.8.0 to 2.8.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.8.0...v2.8.1

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* Make forward pass work

* More improvements

* Remove unused imports

* Remove timm dependency

* Improve loss calculation of token classifier

* Fix most tests

* Add docs

* Add model integration test

* Make all tests pass

* Add LayoutLMv3FeatureExtractor

* Improve integration test + make fixup

* Add example script

* Fix style

* Add LayoutLMv3Processor

* Fix style

* Add option to add visual labels

* Make more tokenizer tests pass

* Fix more tests

* Make more tests pass

* Fix bug and improve docs

* Fix import of processors

* Improve docstrings

* Fix toctree and improve docs

* Fix auto tokenizer

* Move tests to model folder

* Move tests to model folder

* change default behavior add_prefix_space

* add prefix space for fast

* add_prefix_spcae set to True for Fast

* no space before `unique_no_split` token

* add test to hightligh special treatment of added tokens

* fix `test_batch_encode_dynamic_overflowing` by building a long enough example

* fix `test_full_tokenizer` with add_prefix_token

* Fix tokenizer integration test

* Make the code more readable

* Add tests for LayoutLMv3Processor

* Fix style

* Add model to README and update init

* Apply suggestions from code review

* Replace asserts by value errors

* Add suggestion by @ducviet00

* Add model to doc tests

* Simplify script

* Improve README

* a step ahead to fix

* Update pair_input_test

* Make all tokenizer tests pass - phew

* Make style

* Add LayoutLMv3 to CI job

* Fix auto mapping

* Fix CI job name

* Make all processor tests pass

* Make tests of LayoutLMv2 and LayoutXLM consistent

* Add copied from statements to fast tokenizer

* Add copied from statements to slow tokenizer

* Remove add_visual_labels attribute

* Fix tests

* Add link to notebooks

* Improve docs of LayoutLMv3Processor

* Fix reference to section
Co-authored-by: SaulLu <lucilesaul.com@gmail.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* average loss over batches and accumulated steps for tracking

* fix layernorm weight decay

* use AdamW from Pytorch instead of Transformers

* add shuffling of sequences inside the batches

* add shuffling of sequences inside the batches

* add logging dir and reformat code

* fix lr tracking

* remove Mistral scaling

* keep Mistral scaling

* reformat code

* fix error

* fix error

* use shuffling function from Pytorch

* remove argument for shuffling batch sequences as it isn't optional

* update package versions and install accelerate from source

* remove unused package

* Update loss average over accumulated steps
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update loss average over accumulated steps
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* use one shuffle buffer argument

* compute avg_loss in one line
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Add information gain filtration algorithm

* Complying with black requirements

* Added author

* Fixed import order

* flake8 corrections
Co-authored-by: Javier Turek <javier.turek@intel.com>

* add pretokenization arguments

* add pretokenization script

* add support for pretokenized data

* reformat code

* fix run command for training

* fix model call from config

* remove a package

* add comments on pretokenization in the readme

* remove explicit parallelization
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme -remove username
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* update readme -remove username
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* keep data parallelization

* reformat code

* reformat code

* update readme

* reformat code

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>

* add new preprocessing arguments

* add new filters

* add new filters to readme

* fix config and test count, update function names and docstrings

* reformat code

* update readme

* Update readme

* rename config_test filter
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename few_assignments filter
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename tokenizer in arguments
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* rename functions and add limit_line argument for config_test filter

* update threshold for config_test filter
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Loubna ben allal <loubnabenallal@gmail.com>