GitLab

Co-authored-by: p_spozzhang <p_spozzhang@tencent.com>

* Pin torch to <2.2.0

* Pin torchvision and torchaudio as well

* Playing around with versions to see if this helps

* twiddle something to restart the CI

* twiddle it back

* Try changing the natten version

* make fixup

* Revert "Try changing the natten version"

This reverts commit de0d6592c35dc39ae8b5a616c27285db28262d06.

* make fixup

* fix fix fix

* fix fix fix

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

* change datasets

* fix

* Fix lr_scheduler

* Fix lr scheduler

* add w2v2bert compatibility

* Update examples/pytorch/speech-recognition/run_speech_recognition_ctc.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* first commit

* correct default value non causal

* update config and modeling code

* update converting checkpoint

* clean modeling and fix tests

* make style

* add new config parameters to docstring

* fix copied from statements

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* make position_embeddings_type docstrings clearer

* clean converting script

* remove function not used

* clean modeling file

* apply suggestion for test file + add convert script to not_doctested

* modify tests according to review - cleaner logic and more tests

* Apply nit suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add checker of valid position embeddings type

* instantiate new layer norm layer with the right eps

* fix freeze_feature_encoder since it can be None in some cases

* add test same output in convert script

* restore wav2vec2conformer and add new model

* create processor and FE + clean

* add new model code

* fix convert script and set default config parameters

* correct model id paths

* make style

* make fix-copies and cleaning files

* fix copied from statements

* complete .md and fixe copies

* clean convert script argument defaults

* fix config parameters docstrings

* fix config docstring

* add copied from and enrich FE tests

* fix copied from and repo-consistency

* add autotokenizer

* make test input length shorter and change docstring code

* fix docstrings and copied from

* add add_adapter to ASR training example

* make testing of adapters more robust

* adapt to multi adapter layers

* refactor input_values->input_features and remove w2v2-bert feature extractor

* remove pretraining model

* remove depreciated features and useless lines

* add copied from and ignore statements to modeling tests

* remove pretraining model #2

* change import in convert script

* change default in convert script

* update readme and remove useless line

* Update tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* refactor BERT to Bert for consistency

* remove useless ignore copy statement

* add persistent to buffer in rotary

* add eps in LayerNorm init and remove copied from

* add adapter activation parameters and add copied from statements

* Fix copied statements and add unitest.skip reasons

* add copied statement in test_processor

* refactor processor

* make style

* replace numpy random by torch rand

* remove expected output CTC

* improve converting script with processor class

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove gumbel class

* remove tests related to previously deleted class

* Update src/transformers/models/wav2vec2_bert/configuration_wav2vec2_bert.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* correct typos

* remove uused parameters

* update processor to takes both text and audio

* update checkpoints

* update expected output and add ctc expected output

* add label_attention_mask

* replace pt with np in processor tests

* fix typo

* revert to behaviour with labels_attention_mask

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Remove `task` arg in `load_dataset` in image-classification example

* Manage case where "train" is not in dataset

* Add new args to manage image and label column names

* Similar to audio-classification example

* Fix README

* Update tests

* improve dev setup comments and hints

* fix tests for new dev setup hints

* fix

* fix

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

While using `run_clm.py`,[^1] I noticed that some files were being added
to my global cache, not the local cache. I set the `cache_dir` parameter
for the one call to `evaluate.load()`, which partially solved the
problem. I figured that while I was fixing the one script upstream, I
might as well fix the problem in all other example scripts that I could.

There are still some files being added to my global cache, but this
appears to be a bug in `evaluate` itself. This commit at least moves
some of the files into the local cache, which is better than before.

To create this PR, I made the following regex-based transformation:
`evaluate\.load\((.*?)\)` -> `evaluate\.load\($1,
cache_dir=model_args.cache_dir\)`. After using that, I manually fixed
all modified files with `ruff` serving as useful guidance. During the
process, I removed one existing usage of the `cache_dir` parameter in a
script that did not have a corresponding `--cache-dir` argument
declared.

[^1]: I specifically used `pytorch/language-modeling/run_clm.py` from
v4.34.1 of the library. For the original code, see the following URL:
https://github.com/huggingface/transformers/tree/acc394c4f5e1283c19783581790b3dc3105a3697/examples/pytorch/language-modeling/run_clm.py.

* fix no sequence length models error

* block size check

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Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

* docs: replace torch.distributed.run by torchrun

 `transformers` now officially support pytorch >= 1.10.
 The entrypoint `torchrun`` is present from 1.10 onwards.
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>

* Update src/transformers/trainer.py

with @ArthurZucker's suggestion
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Renamed variable extension to builder_name

* If builder name is jsonl change to json to align with load_datasets

* Apply suggestions from code review
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

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Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

fixed the broken links belogs to dataset library of transformers

* Remove the torch main_process_first context manager from TF examples

* Correctly set num_beams=1 in our examples, and add a guard in GenerationConfig.validate()

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix max pos issue

Co-authored-by: Adam Louly <adamlouly@microsoft.com@orttrainingdev9.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

Fix test

* fix

* [test-all] commit

* fix

* [test-all] commit

* [test-all] commit

* fix

* fix

* fix

* fix

* fix

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

* dvclive trainer callback

* style fixes

* dvclive link fixes

Change thresh

Unused param

* Fix example tests from failing

* CHange thresh

move example of benchmarking to legacy

typo fix flag config

* Normalize only if needed

* Update examples/pytorch/image-classification/run_image_classification.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* if else in one line

* within block

* one more place, sorry for mess

* import order

* Update examples/pytorch/image-classification/run_image_classification.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update examples/pytorch/image-classification/run_image_classification_no_trainer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix logit to multi-hot converstion

* add comments

* typo

Add missing spaces in adjacent strings

checkpoint path

* refactor: change default block_size

* fix: return tf to origin

* fix: change files to origin

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* rebase

* refactor: add min block_size to files

* reformat: add min block_size for run_clm tf