GitLab

Bump certifi in /examples/research_projects/lxmert

Bumps [certifi](https://github.com/certifi/python-certifi) from 2022.12.7 to 2023.7.22.
- [Commits](https://github.com/certifi/python-certifi/compare/2022.12.07...2023.07.22

)

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

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

* Initial addition of t5forsequenceclassification

* Adding imports and adding tests

* Formatting

* Running make fix-copies

* Adding mt5forseq

* Formatting

* run make fix-copies

* Adding to docs

* Add model_parallel

* Fix bug

* Fix

* Remove TODO

* Fixing tests for T5ForSequenceClassification

* Undo changes to dependency_versions_table.py

* Change classification head to work with T5Config directly

* Change seq length to let tests pass

* PR comments for formatting

* Formatting

* Initial addition of UMT5ForSequenceClassification

* Adding to inits and formatting

* run make fix-copies

* Add doc for UMT5ForSeqClass

* Update UMT5 config

* Fix docs

* Skip torch fx test for SequenceClassification

* Formatting

* Add skip to UMT5 tests as well

* Fix umt5 tests

* Running make fix-copies

* PR comments

* Fix for change to sentence_representation

* Rename seq_len to hidden_size since that's what it is

* Use base_model to follow format of the rest of the library

* Update docs

* Extract the decoder_input_ids changes and make one liner

* Make one-liner

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

* draft solution

* use `setdefault`

* nits

* add tests and fix truncation issue

* fix test

* test passes locally

* quality

* updates

* update tsets

* Edit err message and comment in

* put back 80M comment

* tf versions

* apply changes to other models

* 3 models slipped through the cracks

* support left padding

* nit

* Update src/transformers/models/gpt_neox/modeling_gpt_neox.py

* Update src/transformers/models/gpt_neox/modeling_gpt_neox.py

* fix

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

* update

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* docs: ko: perf_infer_cpu.md

* feat: chatgpt draft

* fix: manual edits

* Update docs/source/ko/_toctree.yml

* Update docs/source/ko/perf_infer_cpu.md

* Update docs/source/ko/perf_infer_cpu.md

이 부분은 저도 걸리적거렸던 부분입니다. 반영하겠습니다!
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

동의합니다! 제가 원본에 너무 얽매여 있었네요!
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

말씀하신대로 원문에 너무 집착했던것 같습니다
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

더 나은 어휘 사용에 감사드립니다!
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

이 당시 '주기'란 용어를 생각해내질 못했네요...
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

좀 더 자연스러운 문맥이 됐네요!
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md

굳이 원본 형식에 얽매일 필요가 없군요!
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/perf_infer_cpu.md
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

---------
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>

* add example NoBadWordsLogitsProcessor

* fix L764 & L767

* make style

* draft add new model like

* some cleaning of the config

* nits

* add nested configs

* nits

* update

* update

* added layer norms + triton kernels

* consider only LPLayerNorm for now.

* update

* all keys match.

* Update

* fixing nits here and there

* working forward pass.

* removed einops dependency

* nits

* format

* add alibi

* byebye head mask

* refactor attention

* nits.

* format

* fix nits.

* nuke ande updates

* nuke tokenizer test

* don't reshape query with kv heads

* added a bit of documentation.

* remove unneeded things

* nuke more stuff

* nit

* logits match - same generations

* rm unneeded methods

* 1 remaining failing CI test

* nit

* fix nits

* fix docs

* fix docs

* rm tokenizer

* fixup

* fixup

* fixup and fix tests

* fixed configuration object.

* use correct activation

* few minor fixes

* clarify docs a bit

* logits match à 1e-12

* skip and unskip a test

* added some slow tests.

* fix readme

* add more details

* Update docs/source/en/model_doc/mpt.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix configuration issues

* more fixes in config

* added more models

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* remove unneeded position ids

* fix some  comments

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* revert suggestion

* mpt alibi + added batched generation

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

* remove init config

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

* fix nit

* add another slow test

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

* fits in one line

* some refactor because make fixup doesn't pass

* add ft notebook

* update md

* correct doc path

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

Repeat per sample for SAM image embeddings

* dos: ko: hpo_train.mdx

* feat: chatgpt draft

* fix: manual edits

* fix: resolve suggestions

[`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

---------
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>

---------
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

---------
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

---------
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

---------
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

---------
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>