GitLab

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* 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>

at transformers/examples/pytorch/contrastive-image-text

Speedup training by using numpy instead of jnp for batch shuffling
Co-authored-by: Yeb Havinga <y.t.havinga@mgrid.net>

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

cna -> can

* Working example with to_tf_dataset

* updated text_classification

* more comments

* begin script

* update script

* fix features and data args

* main

* add requirements

* add column name args

* fix captions

* don't jit transforms

* fix caption

* fix labels, handle attention mask

* convert pixel values to numpy

* labels => input_ids

* transform images on the fly

* use AutoModel class, create the hybird model outside of the script

* fix version message

* add readme

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

* adderss review comments

* add more comments

* allow freezing vision and text models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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