GitLab

Fix typo in comment: proprocessed -> preprocessed

* 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

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

* use custom training arguments

* update tests

* add test for glue

* add tests for clm

* fix clm test

* add summrization tests

* more tests

* fix few tests

* add test for t5 mlm

* fix t5 mlm test

* fix tests for multi device

* cleanup

* ci job

* fix metric file name

* make t5 more robust

* remove sum for list flattening

* change to chain(*)

* make chain object a list

* delete empty lines

per sgugger's suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* use Repository for push_to_hub

* update readme

* update other flax scripts

* update readme

* update qa example

* fix push_to_hub call

* fix typo

* fix more typos

* update readme

* use abosolute path to get repo name

* fix glue script

* fix_torch_device_generate_test

* remove @

* update

* up

* fix

* remove f-stings

* correct readme

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Allow validation split when loading dataset from local file

* Flax clm & t5, enable validation split for datasets loaded from local file

* Allow ByT5 type in Flax T5 script

* use T5TokenizerFast

* change up tokenizer config

* model_args

* reorder imports

* Update run_t5_mlm_flax.py

* fix_torch_device_generate_test

* remove @

* fix save problem

Successfully logging this requires Pytorch. For the purposes of this script we are not using Pytorch.

* fix_torch_device_generate_test

* remove @

* finish

* add adafactor

* Update examples/flax/language-modeling/run_mlm_flax.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix_torch_device_generate_test

* remove @

* up

* up

* correct

* upload
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* up

* fix_torch_device_generate_test

* remove @

* push

* fix_torch_device_generate_test

* remove @

* add logging steps

* correct training scripts

* correct readme

* correct

* fix_torch_device_generate_test

* remove @

* finish

* finish

* correct style

* fix_torch_device_generate_test

* remove @

* add length computatan

* finish masking

* finish

* upload

* fix some bugs

* finish

* fix dependency table

* correct tensorboard

* Apply suggestions from code review

* correct processing

* slight change init

* correct some more mistakes

* apply suggestions

* improve readme

* fix indent

* Apply suggestions from code review
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* correct tokenizer

* finish

* finish

* finish

* finish
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* fix_torch_device_generate_test

* remove @

* finish

* correct summary writer

* correct push to hub

* fix indent

* finish

* finish

* finish

* finish

* finish
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* finish refactor
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* fix_torch_device_generate_test

* remove @

* change pytorch import to flax import

* refactor

* update

* update

* update

* refactor run mlm

* finalize

* refactor more

* fix typo

* update

* finish refactor

* modify run mlm

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* small fixes

* upload

* upload

* finish run mlm script
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* add flax roberta

* make style

* correct initialiazation

* modify model to save weights

* fix copied from

* fix copied from

* correct some more code

* add more roberta models

* Apply suggestions from code review

* merge from master

* finish

* finish docs
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* First third

* Styling and fix mistake

* Quality

* All the rest

* Treat %s and %d

* typo

* Missing )

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* make executable

* make executable

* same for the template

* cleanup

* save intermediate

* save intermediate

* save intermediate

* correct flax bert model file

* new module / model naming

* make style

* almost finish BERT

* finish roberta

* make fix-copies

* delete keys file

* last refactor

* fixes in run_mlm_flax.py

* remove pooled from run_mlm_flax.py`

* fix gelu | gelu_new

* remove Module from inits

* splits

* dirty print

* preventing warmup_steps == 0

* smaller splits

* make fix-copies

* dirty print

* dirty print

* initial_evaluation argument

* declaration order fix

* proper model initialization/loading

* proper initialization

* run_mlm_flax improvements: improper model inputs bugfix + automatic dataset splitting + tokenizers parallelism warning + avoiding warmup_steps=0 bug

* removed tokenizers warning hack, fixed model re-initialization

* reverted training_args.py changes

* fix flax from pretrained

* improve test in flax

* apply sylvains tips

* update init

* make 0.3.0 compatible

* revert tevens changes

* revert tevens changes 2

* finalize revert

* fix bug

* add docs

* add pretrained to init

* Update src/transformers/modeling_flax_utils.py

* fix copies

* final improvements
Co-authored-by: TevenLeScao <teven.lescao@gmail.com>

* replaced jnp.split + removing textual model inputs + ensuring warmup_steps > 0

* Add automatic dataset splitting in language-modeling examples

* Remove "Model" suffix from Flax models to look more :hugs:
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Initial working (forward + backward) for Flax MLM training example.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Simply code
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing comments, using module and moving to LM task.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore parameter name "module" wrongly renamed model.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore correct output ordering...
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Actually commit the example 😅

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Add FlaxBertModelForMaskedLM after rebasing.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make it possible to initialize the training from scratch
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Reuse flax linen example of cross entropy loss
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added specific data collator for flax
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Remove todo for data collator
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added evaluation step
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added ability to provide dtype to support bfloat16 on TPU
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable flax tensorboard output
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable jax.pmap support.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Ensure batches are correctly sized to be dispatched with jax.pmap
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable bfloat16 with --fp16 cmdline args
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Correctly export metrics to tensorboard
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added dropout and ability to use it.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Effectively enable & disable during training and evaluation steps.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Oops.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable specifying kernel initializer scale
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added warmup step to the learning rate scheduler.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix typo.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Print training loss
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make style
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix linter issue (flake8)
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix model matching
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix dummies
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix non default dtype on Flax models
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Use the same create_position_ids_from_input_ids for FlaxRoberta
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make Roberta attention as Bert
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix copy
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Wording.
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>