GitLab

See https://github.com/huggingface/transformers/issues/24546

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

* fix

* fix

* fix

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

* add 8bit instructblip test

* update tests

Make sure feature_extractor is defined in all cases

add gpt2-xl test

* fix

* fix

* fix

* fix

* fix

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

* fix

* fix

* fix

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

* Fix typing annotations for FSDP and DeepSpeed in TrainingArguments

* Change dict to Dict

* Warn only in enable full determinism

* Add option in the function definition

* fix

* fix

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

* fix

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

* Add bitsandbytes support for gpt2 models

* Guard Conv1D import to pass tensorflow test

* Appease ruff linter

* Fix 4bit test and remove int8 test boilerplate

* Update tests/bnb/test_mixed_int8.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Fix Typo

* Fix all copies

Allow backbones not in backbones_supported

* Preliminary work on some models

* Fix test load missing and make sure nonpersistent buffers are tested

* Always ignore nonpersistent buffers if in state_dict

* Treat models

* More models

* Treat remaining models

* Fix quality

* Fix tests

* Remove draft

* This test is not needed anymore

* Fix copies

* Fix last test

* Newly added models

* Fix last tests

* Address review comments

Remove SwinConfig

* One solution

* args -> self

* Find module name in an OS-agnostic fashion

* address review comment

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

* Adding T5ForQuestionAnswering

* Changed weight initialization that results in better initial loss when fine-tuning

* Update to class variables

* Running make fixup

* Running make fix-copies

* Remove model_parallel

* Adding MT5ForQuestionAnswering

* Adding docs

* Fix wrong doc

* Update src/transformers/models/mt5/modeling_mt5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/t5/modeling_t5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* File formatting

* Undoing change

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update hyperparameter_search.py

* resolve comments

use accelerate autocast in jit eval path, since mix precision logic is in accelerator currently
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* docs: ko: tflite.mdx

* feat: nmt and manual edit `tflite.mdx`

* revised: resolve suggestions tflite.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* revised: resolve suggestions and new line tflite.mdx
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
Co-Authored-By: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-Authored-By: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-Authored-By: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-Authored-By: Nayeon Han <nayeon2.han@gmail.com>
Co-Authored-By: Jungnerd <46880056+jungnerd@users.noreply.github.com>

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Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Kihoon Son <75935546+KIHOON71@users.noreply.github.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Nayeon Han <nayeon2.han@gmail.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* fix

* fix

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

* Fix TypeError: Object of type int64 is not JSON serializable

* Convert numpy.float64 and numpy.int64 to float and int for json serialization

* Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py

* * make style

* add exception

* update docs

* group_beam_search now works correctly

* add argument descriptions

* add a comment

* format

* make style

* change comment

* Update src/transformers/generation/beam_search.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

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Co-authored-by: shogo.fujita <shogo.fujita@legalontech.jp>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* fix link

* new link

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Co-authored-by: Gema <gema@mbp-de-gema-2.lan>

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

fix attribute error

* fix

* fix

* fix

* fix

* fix

* fix

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

* add accelerate support for instructblip

* add `_keep_in_fp32_modules`

* dynamically adapt `_no_split_modules`

* better fix

* same logic for `_keep_in_fp32_modules`

Add support for for loops

Add link to pytorch CrossEntropyLoss so that one understand why '-100' is ignore by the loss function.

* fix

* fix

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

* deepspeed z2/z1 state_dict bloating fix

* update

* version check