GitLab

[`generate`]  Only warn users if the `generation_config`'s `max_length` is set to the default value (#25030)

* check max length is default

* nit

* update warning: no-longer deprecate

* comment in the configuration_utils in case max length's default gets changed in the futur

replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size` in readme of multiple-choice task (#25078)

replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size`
in readme of multiple-choice

Update README_hd.md

* Fix last models for common tests that are too big.

* Remove print statement

* docs: ko: perf_hardware.md

* feat: nmt draft

* fix: manual edits

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* fix: resolve suggestions
Co-authored-by: Haewon Kim <ehdvkf02@naver.com>

* Fix: manual edits

* fix: manual edits

* fix: manual edits

* fix: manual edits

* fix: fix rendering error of perf_hardware.md

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Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Haewon Kim <ehdvkf02@naver.com>

* docs: ko: tf_xla.md

* feat: chatgpt draft

* fix: manual edits

* fix: manual edits

* fix: manual edits

* fix: resolve suggestions

fix rope_scaling doc string

* Add note in doc on `RwkvStoppingCriteria`

* give some breathing space to the code

* Better error message when signal is not supported on OS

* Address review comments

* dos: ko: perf_train_cpu.md

* feat: chatgpt draft

* fix: manual edits

* fix: resolve suggestions

* fix: manual edits
Co-authored-by: Haewon Kim <ehdvkf02@naver.com>

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Co-authored-by: Haewon Kim <ehdvkf02@naver.com>

fix 8bit corner case with Blip2 8bit

compute_loss in trainer failing to label shift for PEFT model when label smoothing enabled. (#25044)

* added PeftModelForCausalLM to MODEL_FOR_CAUSAL_LM_MAPPING_NAMES dict

* check for PEFT model in compute_loss section

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Co-authored-by: Nathan Brake <nbrake3@mmm.com>

* pull and push updates

* add docs

* fix modeling

* Add and run test

* make copies

* add task

* fix tests and fix small issues

* Checks on a Pull Request

* fix docs

* add desc pvt.md

* Make more test models tiny

* Make more test models tiny

* More models

* More models

* Dispatch batches

* Copy items

* docs: ko: testing.md

* feat: draft

* fix: manual edits

* fix: edit ko/_toctree.yml

* fix: manual edits

* fix: manual edits

* fix: manual edits

* fix: manual edits

* fix: resolve suggestions

* dos: ko: performance.md

* feat: chatgpt draft

* fix: manual edits

* fix: manual edits

* Update docs/source/ko/performance.md
Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>

* Update docs/source/ko/performance.md

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Co-authored-by: Kihoon Son <75935546+kihoon71@users.noreply.github.com>

* Better handling missing SYS in llama conversation tokenizer

The existing code failed to add SYS if the conversation has history
without SYS, but did modify the passed conversation as it did.

Rearrange the code so modification to the conversation object are taken
into account for token id generation.

* Fix formatting with black

* Avoid one-liners

* Also fix fast tokenizer

* Drop List decl

* Support GatedRepoError + use raise from

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

* Use token instead of use_auth_token in error messages

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

* 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>