GitLab

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>

* 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>