GitLab

* Remove deprecated logic and warnings

* Add back some code that seems to be important...

* Let's just add all he nllb stuff back; removing it is a bit more involved

* Remove kwargs

* Remove more kwargs

* update link

* run make style

* Training script for object detection

* Evaluation script for object detection

* Training script for object detection with eval loop outside trainer

* Trainer DETR finetuning

* No trainer DETR finetuning

* Eval script

* Refine object detection example with trainer

* Remove commented code and enable telemetry

* No trainer example

* Add requirements for object detection examples

* Add test for trainer example

* Readme draft

* Fix uploading to HUB

* Readme improvements

* Update eval script

* Adding tests for object-detection examples

* Add object-detection example

* Add object-detection resources to docs

* Update README with custom dataset instructions

* Update year

* Replace valid with validation

* Update instructions for custom dataset

* Remove eval script

* Remove use_auth_token

* Add copied from and telemetry

* Fixup

* Update readme

* Fix id2label

* Fix links in docs

* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update examples/pytorch/object-detection/run_object_detection.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Move description to the top

* Fix Trainer example

* Update no trainer example

* Update albumentations version

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fix memory leak with CTC training script on Chinese languages

* Fix lint

Fix --model_type in examples

* Handle cases when CLS token is absent

* Use BOS token as a fallback

* fix seq2seq data collator to respect the given padding strategy

further added tests for the seq2seq data collator in the style of the `data_collator_for_token_classification` (pt, tf, np)

* formatting and change bool equals "==" to "is"

* add missed return types in tests

* update numpy test as it can handle unequal shapes, not like pt or tf

* [examples] update whisper fine-tuning

* deprecate forced/suppress tokens

* item assignment

* update readme

* final fix

* Alias

* Note alias

* Tests and src

* Rest

* Clean

* Change typing?

* Fix tests

* Deprecation versions

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

* Remove unused augmentation

* Fix pad_if_smaller() and remove unused augmentation

* Add indentation

* Fix requirements

* Update dataset use instructions

* Replace transforms with albumentations

* Replace identity transform with None

* Fixing formatting

* Fixed comment place

* Undo

* Use tokenizer

* Undo data collator

updated examples/pytorch/language-modeling scripts and requirements.txt to require datasets>=2.14.0 (#30120)

updated requirements.txt and require_version() calls in examples/pytorch/language-modeling to require datasets>=2.14.0

* Add image processor to trainer

* Replace tokenizer=image_processor everywhere

* improve: error message for best model metric

* update: raise warning instead of error

feat: add support for torch_dtype
Co-authored-by: Jacky Lee <jackylee328@gmail.com>

* Update run_glue.py

* Update run_glue.py

* Update run_glue_no_trainer.py

check max_position_embeddings

* Update legacy Repository usage in `examples/pytorch/text-classification/run_glue_no_trainer.py`

Marked for deprecation here https://huggingface.co/docs/huggingface_hub/guides/upload#legacy-upload-files-with-git-lfs

* Fix import order

* Replace all example usage of deprecated Repository

* Fix remaining repo call and rename args variable

* Revert removing creation of gitignore files and don't change research examples

* add USE_TORCH_XLA env

* rename torch_tpu to torch_xla

* better is_torch_xla_available; fix some fsdp and performance issues

* fix format

* fix bug when pjrt_device is cpu

* fix bug

* fix the deprecation handling

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Co-authored-by: anw90 <ang868@gmail.com>
Co-authored-by: wangang.wa <wangang.wa@alibaba-inc.com>

* add: initial script to train clm fim

* fix: if training model from scratch, new tokens will be added and embeddings resized

* fix: fixed attention_mask errors when generating FIM data

* fix: file formatted using black

* add: run_fim_no_trainer.py and fixed some comments in run_fim.py

* add: added fim examples to the README.md and ran code fixup

* fix: little bug in both fim training scripts

* fix: remove comment from notebook and added a note on fim related params

* fix: minor typo in README

* add: suggested minor changes to README and run_fim.py

* add: gradient_accumulation_steps and gradient_checkpointing args

* add: improved model embedding resizing

* add: pad_to_multiple_of and attn_implementation params

* add: requested minor changes

* add: deepspeed zero compatibility

* add: resize embeddings layer with zero3 support for fim model initialization

* change version

* nuke

* this doesn't make sense

* update some requirements.py

* revert + no main

* nits

* change cache number

* more pin

* revert

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

* Script & Manual edition

* Update

Add language identifiers to code blocks

Updated datasets requirements. Need a package version >= 2.14.0

* fix

* fix

* fix

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

* Fix typos and grammar mistakes in docs and examples

* Fix typos in docstrings and comments

* Fix spelling of `tokenizer` in model tests

* Remove erroneous spaces in decorators

* Remove extra spaces in Markdown link texts

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