GitLab

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Add self-training code for text-classification

* Delete strata

* add ort-trt benchmark script

* Update README.md

* ort version can be newer

* formatting

* specify ORT version

Move declaration of log streams to before tests, so that results won't get compounded on top of each other

* add simple multi gpu complet

* add human_eval_multi_gpu

* use copy strategy to distribute across gpu, to avoid padding

* add doc string

* update code style

* use task id to arrange output

* truncate input to avoid zero pad

* Stop the copy mechanism

* update style

* restore copies to scale better in distributed mode

* update style

* replace human eval

* Apply suggestions from code review

1. Tokenize all input at the same time
2. use attention_mask to get the input length
3. other small fixes
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* correct typo and update docstring

* update code style

* remove num sample division constraint

* remove max len calculation

* use accelerator.gather once to speed up

* use accelerate set_seed; update accelerate version

* correct gather bug
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Add TapexTokenizer

* Improve docstrings and provide option to provide answer

* Remove option for pretokenized inputs

* Add TAPEX to README

* Fix copies

* Remove option for pretokenized inputs

* Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification.

* - Draft a README file for running the script and introducing some background.
- Remove unused code lines in tabfact script.
- Disable the deafult `pad_to_max_length` option which is memory-consuming.

* * Support `as_target_tokenizer` function for TapexTokenizer.
* Fix the do_lower_case behaviour of TapexTokenizer.
* Add unit tests for target scenarios and cased/uncased scenarios for both source and target.

* * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function.
* Fix typos in tapex example README.

* * fix the evaluation script - remove the property `task_name`

* * Make the label space more clear for tabfact tasks

* * Using a new fine-tuning script for tapex-base on tabfact.

* * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case
* Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql

* * Remove the default tokenizer_name option.
* Provide evaluation command.

* * Support for WikiTableQuestion dataset.

* Fix a typo in README.

* * Fix the datasets's key name in WikiTableQuestions

* Run make fixup and move test to folder

* Fix quality

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Apply suggestions from code review

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

* Apply some more suggestions from code review

* Improve docstrings

* Overwrite failing test

* Improve comment in example scripts

* Fix rebase

* Add TAPEX to Auto mapping

* Add TAPEX to auto config mappings

* Put TAPEX higher than BART in auto mapping

* Add TAPEX to doc tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: SivilTaram <qianlxc@outlook.com>
Co-authored-by: Niels Rogge <nielsrogge@nielss-mbp.home>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* [research] link to the XTREME-S paper

* Update examples/research_projects/xtreme-s/README.md
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* [examples] max samples can't be bigger than then len of dataset

* do tf and flax

* update Dockerfile and utils_qa

* Update README.md

* Update readme with how to train offline and fix BPE command

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

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

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Add type hints for Pegasus (#16324)

* Funnel type hints (#16323)

* add pt funnel type hints

* add tf funnel type hints

* Add type hints for ProphetNet PyTorch (#16272)

* [GLPN] Improve docs (#16331)

* Add link to notebook

* Add link

* Fix bug
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Added type hints for Pytorch Marian calls (#16200)

* Added type hinting for forward functions in pytorch marian

* typo correction

* Removed type hints on functions from BART per Suraj Patil request

* fix import pb

* fix typo

* corrected tuple call

* ran black

* after fix-copies
Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List

* Fixing copies to roformer and pegasus
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

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

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* done (#16340)

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add type annotations for Rembert/Splinter and copies (#16338)

* undo black autoformat

* minor fix to rembert forward with default

* make fix-copies, make quality

* Adding types to template model

* Removing List from the template types

* Remove `Optional` from a couple of types that don't accept `None`
Co-authored-by: matt <rocketknight1@gmail.com>

* [Bug template] Shift responsibilities for long-range (#16344)

* Fix code repetition in serialization guide (#16346)

* Adopt framework-specific blocks for content (#16342)

* ✨ refactor code samples with framework-specific blocks

* ✨ update training.mdx

* 🖍

 apply feedback

* Updates the default branch from master to main (#16326)

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Created the Decision Transformer Modle

* updating tests, copy to other machine

* Added last hidden size to Decision Transformer modelling outputs

* Removed copy of original DT file

* made a temporary change to gpt2 to have it conform with the Decision Transformer version

* Updated tests

* Ignoring a file used to test the DT model

* added comments to config file

* added comments and argument descriptions to decision transformer file

* Updated doc

* Ran "make style"

* Remove old model imports

* Removed unused imports, cleaned up init file

* Update docs/source/model_doc/decision_transformer.mdx

added my username
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Reverted changes made to gpt2

* Removed datasets submodule

* Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states

* Added support for return of hidden states, attentions and return dict of gpt2 model.

* Updated tests to include many of the ModelTesterMixin tests. 

The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes

* Added missing line to the end of gpt2 file

* Added an integration test for the Decision Transformer

Test performs and autoregressive evaluation for two time steps

* Set done and info to _ to fix failing test

* Updated integration test to be deterministic and check expected outputs

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

* Removed unnecessary config options

* Cleaned up commented code and old comments.

* Cleaned up commented code.

* Changed DecisionTransformer to Decision Transformer

* Added Decision Transformer to the main README file

* Added copy of GTP2 called DecisionTranformerGPT2Model

* isorted imports

* isorted imports

* Added model to non-English README files

* Ran make fix-copies and corrected some cases.

* Updated index file to include Decision Transformer

* Added gpt2 model as copy inside the Decision Transformer model file

* Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS

* Deleted redundant checkpoint files (I don't know how these got committed)

* Removed testing files. (These should have never been committed)

* Removed accidentally committed files

* Moved the Decision Transformer test to its own directory

* Moved DecisionTransformOutput to modeling_decision_transformer

* Moved the example usage to research project and cleaned comments

* Made tests ignore the copy of gpt2 in Decision Transformer

* Added module output to modelling decision transformer

* removed copied gpt2 model from list of transformers models

* Updated tests and created __init__ file for new test location

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

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Removed unneeded summary type from config file

* Fixed copies

* Updated pretrained config map to refer to hopper-medium checkpoint

* Added Decision transformer to model docs

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/modeling_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/decision_transformer/configuration_decision_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updated model with custom docstring example

* Updated copies, config auto, and readme files.
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com>
Co-authored-by: Adam Montgomerie <adam@avanssion.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com>
Co-authored-by: Clementine Fourrier <cfourrie@inria.fr>
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com>
Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Updates the default branch from master to main

* Links from `master` to `main`

* Typo

* Update examples/flax/README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update results

* per-language metrics

* Format the per-language metrics

* Minor fixes

* Fix vocab union

* Update examples/research_projects/xtreme-s/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update README

* unused import
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Replace all deprecated `jax.ops` operations with jnp's `at`

* np to jnp scores

* suggested changes

* CTC+classification draft

* CTC+classification draft

* style

* multilingual runs

* Fix race condition during processor.from_reatrained

* Merge covost experiments

* Add README

* Quality

* Switch to .all configs

* Fix typos

* [WIP] add support for bf16 mode

* prep for bf16

* prep for bf16

* fix; zero2/bf16 is ok

* check bf16 is available

* test fixes

* enable zero3_bf16

* config files

* docs

* split stage_dtype; merge back to non-dtype-specific config file

* fix doc

* cleanup

* cleanup

* bfloat16 => bf16 to match the PR changes

* s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/

* test fixes/skipping

* move

* fix

* Update docs/source/main_classes/deepspeed.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* backticks

* cleanup

* cleanup

* cleanup

* new version

* add note about grad accum in bf16
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [research_projects] deal with security alerts

* add a note of the original PL ver and warning

* Upgrade black to version ~=22.0

* Check copies

* Fix code

* Single-epoch run

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Infinite dataset

* Trainer fix + distributed benchmark

* Benchmark fix

* unused import

* interleaved splits

* interleaved splits

* has_length util

* Move to research projects

* Leftover Sized checks

* Bump min version

* Unused import

* Revert trainer changes
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add Luke training

* Fix true label tags

* Fix true label tags

* Fix true label tags

* Update the data collator for Luke

* Some training refactor for Luke

* Improve data collator for Luke

* Fix import

* Fix datasets concatenation

* Add the --max_entity_length argument for Luke models

* Remove unused code

* Fix style issues

* Fix style issues

* Move the Luke training into a separate folder

* Fix style

* Fix naming

* Fix filtering

* Fix filtering

* Fix filter

* Update some preprocessing

* Move luke to research_projects

* Checkstyle

* Address comments

* Fix style

Bumps [numpy](https://github.com/numpy/numpy) from 1.19.2 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](https://github.com/numpy/numpy/compare/v1.19.2...v1.21.0

)

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

Bumps [notebook](http://jupyter.org

) from 6.1.5 to 6.4.1.

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

Bumps [numpy](https://github.com/numpy/numpy) from 1.19.2 to 1.21.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst.txt)
- [Commits](https://github.com/numpy/numpy/compare/v1.19.2...v1.21.0

)

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

* Device argument for the eval script

* Default to none

* isort

* Move BART + ONNX example to research_projects

* Add author information

Clarify OVH instruction

Add an OVHcloud tutorial URL for the Robust Speech Challenge