GitLab

Remove accelerate from tf

fix-squeeze-tuple

* fix

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

* initial work

* Add other classes

* Refactor code

* Move warning and fix dynamic pipeline

* Issue warning when necessary

* Add test

docs: ko: tasks/translation.mdx

fix: docs: ko: sagemaker anchors and  `_toctree.yml`
Co-authored-by: Hyeonseo Yun <0525_hhgus@naver.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Na Yeon Han <nayeon2.han@gmail.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

docs: ko: translated `custom_models.mdx`
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* fix

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

* Indexing fix - CLIP checkpoint conversion

* Fix up

* Fix word_ids hyperlink

* Add suggested fix

* If EOS is None, don't add it to sequences

* If EOS is None, don't add it to sequences

* add ko preprocessing

* translate preprocessing.mdx to korean

* translate preprocessing.mdx

* Update preprocessing.mdx

Fixed the line 273 as below:
또한, 특징 추출기에 `sampling_rate` 인자를 추가하여 발생할 수 있는 조용한 오류(silent errors)를 더 잘 디버깅하는 것을 권장합니다.

* translate Image part

* translated preprocess.mdx

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/preprocessing.mdx

* Update docs/source/ko/preprocessing.mdx

* Update docs/source/ko/preprocessing.mdx

* Update docs/source/ko/preprocessing.mdx

* Update docs/source/ko/preprocessing.mdx

* Update docs/source/ko/preprocessing.mdx

* fixed translation

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Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* fix

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

Fixed string format; better tokenizer message.

Before: `Saving a {tokenizer_class} to {tokenizer_path}`
After: `Saving a LlamaTokenizerFast to outdir.`

* add: tokenizer training script for TF TPU LM training.

* add: script for preparing the TFRecord shards.

* add: sequence of execution to readme.

* remove limit from the tfrecord shard name.

* Add initial train_model.py

* Add basic training arguments and model init

* Get up to the point of writing the data collator

* Pushing progress so far!

* Complete first draft of model training code

* feat: grouping of texts efficiently.
Co-authored-by: Matt <rocketknight1@gmail.com>

* Add proper masking collator and get training loop working

* fix: things.

* Read sample counts from filenames

* Read sample counts from filenames

* Draft README

* Improve TPU warning

* Use distribute instead of distribute.experimental

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Modularize loading and add MLM probability as arg

* minor refactoring to better use the cli args.

* readme fillup.

* include tpu and inference sections in the readme.

* table of contents.

* parallelize maps.

* polish readme.

* change script name to run_mlm.py

* address PR feedback (round I).

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Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* docs: ko: init: tasks/sequence_classification.mdx

* docs: ko: revised: change voca in tasks/sequence_classification.mdx

* docs: ko: revised: [RE] change voca in tasks/sequence_classification.mdx

* docs: ko: revised: spell check and sentence naturally in tasks/sequence_classification.mdx

* docs: ko: revised: spell check and consistent vocabulary in tasks/sequence_classification.mdx

* docs: ko: revised: Add full stop and change voca in tasks/sequence_classification.mdx

* docs: ko: revised: sync first section templates in tasks/sequence_classification.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* fix: revert use of full-stops to colons

* colons are used to emphasize the code block that follows

* @0525hhgus @wonhyeongseo docs: ko: revised: sync second section templates in tasks/sequence_classification.mdx
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>

* docs: ko: revised: change 'train', 'finetuning' in tasks/sequence_classification.mdx

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Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* fix

* style

* fix

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

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

Bug in LlamaTokenizer when  #22742

* [trainer] update url

* style

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

* fix

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

translate training doc to Korean

* fix

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

* Add model to doc tests

* Remove generate and replace by prepare_inputs_for_generation

* More fixes

* Remove print statements

* Update integration tests

* Fix generate

* Remove model from auto mapping

* Use auto processor

* Fix integration tests

* Fix test

* Add inference code snippet

* Remove is_encoder_decoder

* Update docs

* Remove notebook link

* Update modeling_vilt.py

Vilt compatible with model parallelism

* Update modeling_switch_transformers.py

switch_transformers compatible with model parallelism

Fix indexing

* added configuration file for mvp model

* added configuration_mvp.py line to file

m2m-100-config for doctest

* Fix docstrings for TFBLIP

* Fix missing line in TF port!

* Use values from torch tests now other bugs fixed

* Use values from torch tests now other bugs fixed

* Fix doctest string

* Use different level

* Remove futurewarning

* Use warning_once

* Update copies