GitLab

* [deepspeed doc] fix import, extra notes

* typo

* Fix Swin model outputs

* Rename pooler

fix typo

* 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)

* Fix the inconsistency of loss calculation between PT/TF XLNetLMHeadModel

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

* add xlm roberta xl

* add convert xlm xl fairseq checkpoint to pytorch

* fix init and documents for xlm-roberta-xl

* fix indention

* add test for XLM-R xl,xxl

* fix model hub name

* fix some stuff

* up

* correct init

* fix more

* fix as suggestions

* add torch_device

* fix default values of doc strings

* fix leftovers

* merge to master

* up

* correct hub names

* fix docs

* fix model

* up

* finalize

* last fix

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

* add copied from

* make style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* clean commit of changes

* apply review feedback, make edits

* fix backticks, minor formatting

* 🖍 make fixup and minor edits

* 🖍 fix # in header

* 📝 update code sample without from_pt

* 📝 final review

* add model sharing tutorial

* 🖍 apply feedback from review

* 📝 make edits

* 🖍 fix formatting

* 📝 convert from pt checkpoint to flax

* 📝 final review

* fix missing eps

* Same fix for ConvBertGeneratorPredictions

* Same fix for AlbertMLMHead
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [deepspeed] saving checkpoint fallback when fp16 weights aren't saved

* Bump required deepspeed version to match usage when saving checkpoints

* update version
Co-authored-by: Mihai Balint <balint.mihai@gmail.com>

* add xglm

* update vocab size

* fix model name

* style and tokenizer

* typo

* no mask token

* fix pos embed compute

* fix args

* fix tokenizer

* fix positions

* fix tokenization

* style and dic fixes

* fix imports

* add fast tokenizer

* update names

* add pt tests

* fix tokenizer

* fix typo

* fix tokenizer import

* fix fast tokenizer

* fix tokenizer

* fix converter

* add tokenizer test

* update checkpoint names

* fix tokenizer tests

* fix slow tests

* add copied from comments

* rst -> mdx

* flax model

* update flax tests

* quality

* style

* doc

* update index and readme

* fix copies

* fix doc

* update toctrr

* fix indent

* minor fixes

* fix config doc

* don't save embed_pos weights

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* address Sylvains commnets, few doc fixes

* fix check_repo

* align order of arguments

* fix copies

* fix labels

* remove unnecessary mapping

* fix saving tokenizer
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Make links explicit

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

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

* Prepare deprecated ONNX exporter for PyTorch v1.11

* Add deprecation warning

* Fix `bad_word_ids` not working with sentencepiece-based tokenizers

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

* Fixing support `batch_size` and `num_return_Sequences` in
`text-generation` pipeline

And `text2text-generation` too.

The bug was caused by the batch_size containing both the incoming batch
**and** the generated `num_sequences`.

The fix simply consists into splitting both of these again into
different dimensions.

* TF support.

* Odd backward compatibility script in the way.

* Use syncfree AdamW for xla:gpu device by default

* Make syncfree AdamW optional

* Add init to BORT

* BORT should be in init

* 🖍 fix code syntax to external libraries and replace image

* 🔄revert code formatting, replace image with code block

* 🖍 apply feedback

* Allow dynamic modules to use relative imports

* Add tests

* Add one last test

* Changes

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>

* Example script for PushToHubCallback

* Expanding description slightly

* Add proper documentation for Keras callbacks

* Add dummies

Co-authored-by: osanseviero <osanseviero@gmail.com>
Co-authored-by: osanseviero <osanseviero@gmail.com>