GitLab

Remove input and target reset after preprocessing

* Add first draft

* Make model importable

* Make SwinForMaskedImageModeling importable

* Fix imports

* Add missing inits

* Add support for Swin

* Fix bug

* Fix bug

* Fix another bug

* Fix Swin MIM implementation

* Fix default encoder stride

* Fix Swin

* Add print statements for debugging

* Add image_size data argument

* Fix Swin

* Fix image_size

* Add print statements for debugging

* Fix print statement

* Remove print statements

* Improve reshaping of bool_masked_pos

* Add support for DeiT, fix tests

* Improve docstrings

* Apply new black version

* Improve script

* Fix bug

* Improve README

* Apply suggestions from code review

* Remove DS_Store and add to gitignore

* Apply suggestions from code review + fix BEiT Flax

* Revert BEiT changes

* Improve README

* Fix code quality

* Improve README
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

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

* [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 preprocess_logits_for_metrics Trainer param

* Compute accuracy in LM examples

* Improve comments

* Playing

* Properly set labels in model config for token classification example

* Port to run_ner_no_trainer

* Quality

* Harder check for IndexErrors in QA scripts

* Make test stronger

fix typo

* add a section about GPUs

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

(This is an editorial change only)

* Make links explicit

* Removing reference to compute_metrics() since it's kind of PyTorch-specific

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

The default is correct (`test`) but the description is not.

* up

* up

* make style

* apply sylvains suggestions

* apply changes to accelerate as well

* more changes

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

* Move BART + ONNX example to research_projects

* Add author information

* Add script

* Improve script

* Fix data collator

* Update README

* Add label_names argument

* Apply suggestions from code review

* Add config parameters

* Update script

* Fix bug

* Improve README

* Improve README and add test

* Fix import

* Add image_column_name

Clarify OVH instruction

Add an OVHcloud tutorial URL for the Robust Speech Challenge

* refactor run_flax_glue.py

* updated readme

* rm unused import and args typo fix

* refactor

* make consistent arg name across task

* has_tensorboard check

* argparse -> argument dataclasses

* refactor according to review

* fix