GitLab

* first pass at the single gpu doc

* overview: improved clarity and navigation

* WIP

* updated intro and deepspeed sections

* improved torch.compile section

* more improvements

* minor improvements

* make style

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* feedback addressed

* mdx -> md

* link fix

* feedback addressed

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

fix: store training args to wandb config without sanitization.

Allows resuming runs by reusing the wandb config.
Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>

set default logger

* [check_config_docstrings.py] improve diagnostics

* style

* rephrase

* fix

fix: update ko/serialization.md

* chatgpt draft

* improve from_pretrained for zero3 multi gpus mode

* Add check if torch.distributed.is_initialized

* Revert torch.distributed

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Co-authored-by: Stas Bekman <stas@stason.org>

remove persistent tensor

add simple check for bnb

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

* Avoid importing all models when instantiating a pipeline

* Remove sums that don't work

* pad token should be None by default

* fix tests

* nits

* Update tokenization_llama.py

* Update tokenization_llama_fast.py

* Update src/transformers/models/llama/tokenization_llama_fast.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/llama/tokenization_llama_fast.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* fix fsdp prepare to remove the warnings and fix excess memory usage

* Update training_args.py

* parity for FSDP+XLA

* Update trainer.py

* fix: english/korean quicktour.md

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>

* fix: follow glossary

* 파인튜닝 -> 미세조정

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Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>

* fix: cast input pixels to appropriate dtype for image_to_text tasks

* fix: add casting to pixel inputs of additional models after running copy checks

* fix fsdp load

* Update trainer.py

* remove saving duplicate state_dict

* [trainer] fallback for deepspeed param count

* [trainer] more readable numel count

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

Change logic

add GC support for RWKV

Bump aiohttp in /examples/research_projects/decision_transformer

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.8.1 to 3.8.5.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/v3.8.5/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.8.1...v3.8.5

)

---
updated-dependencies:
- dependency-name: aiohttp
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* testing

* example script

* fix typehinting

* some tests

* make test

* optional update

* Union of arguments

* does this fix the issue

* remove reports

* set default to False

* documentation change

* None support

* does not need None

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments" (#24574)

Revert "Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)"

This reverts commit c5e29d43

.

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments (#24549)

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* merge

* hacky fix

* fixup

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Co-authored-by: Max Ryabinin <mryabinin0@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make docs

* fixup

* resolved

* remove debugs

* Revert "fixup"

This reverts commit 5e0f636aae0bf8707bc8bdaa6a9427fbf66834ed.

* prev (ignore)

* fixup broke some files

* remove files

* reverting modeling_reformer

* lang fix

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

Fixing small typo: kwrags -> kwargs

Bump pygments in /examples/research_projects/decision_transformer

Bumps [pygments](https://github.com/pygments/pygments) from 2.11.2 to 2.15.0.
- [Release notes](https://github.com/pygments/pygments/releases)
- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
- [Commits](https://github.com/pygments/pygments/compare/2.11.2...2.15.0

)

---
updated-dependencies:
- dependency-name: pygments
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* replace no_cuda with use_cpu in test_pytorch_examples

* remove codes that never be used

* fix style

* Resolve typo in check_repo.py

* Specify encoding when opening modeling files

* Deprecate the OpenLlama architecture

* Add disclaimer pointing to Llama

I'm open to different wordings here

* Match the capitalisation of LLaMA

* Add text classification example

* set the problem type and finetuning task

* ruff reformated

* fix bug for unseting label_to_id for regression

* update README.md

* fixed finetuning task

* update comment

* check if label exists in feature before removing

* add useful logging

* docs: ko: `document_question_answering.md`

* fix: resolve suggestions
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

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Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

[doc] image_processing_vilt.py wrong default

* add possibility to disable TP

* fixup

* adapt from offline discussions

Update llama2.md

 Fix typos in the llama2 model doc

fix typo in BARK_PRETRAINED_MODEL_ARCHIVE_LIST

suno/barh should be suno/bark

- This results in cpu mode on Apple Silicon mps