GitLab

* Fix PreTrainedTokenizer.pad when first inputs are empty

* Handle empty inputs case

* Remove value error

* Try a fix for parameter ordering

* Restore previous behavior

* Add documentation

* Review the comment

* remove make on the fly linear embedding

* start refactor

* big first refactor

* save intermediate

* save intermediat

* correct mask issue

* save tests

* refactor padding masks

* make all tests pass

* further refactor

* make pegasus test pass

* fix bool if

* fix leftover tests

* continue

* bart renaming

* delete torchscript test hack

* fix imports in tests

* correct shift

* fix docs and repo cons

* re-add fix for FSTM

* typo in test

* fix typo

* fix another typo

* continue

* hot fix 2 for tf

* small fixes

* refactor types linting

* continue

* finish refactor

* fix import in tests

* better bart names

* further refactor and add test

* delete hack

* apply sylvains and lysandres commens

* small perf improv

* further perf improv

* improv perf

* fix typo

* make style

* small perf improv

* 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>

* diverse beam search

* bug fixes

* bug fixes

* bug fix

* separate out diverse_beam_search function

* separate out diverse_beam_search function

* bug fix

* improve code quality

* bug fix

* bug fix

* separate out diverse beam search scorer

* code format

* code format

* code format

* code format

* add test

* code format

* documentation changes

* code quality

* add slow integration tests

* more general name

* refactor into logits processor

* add test

* avoid too much copy paste

* refactor

* add to docs

* fix-copies

* bug fix

* Revert "bug fix"

This reverts commit c99eb5a8dc57a7b0d33a8ac06d8c6a32a7812ad4.

* improve comment

* implement sylvains feedback
Co-authored-by: Ayush Jain <a.jain@sprinklr.com>
Co-authored-by: ayushtiku5 <40797286+ayushtiku5@users.noreply.github.com>

* Removed unused `encoder_hidden_states` and `encoder_attention_mask` from MobileBert

* Removed decoder tests for MobileBert

* Removed now unnecessary import

* Apply on BERT and ALBERT

* Update TF Bart

* Add input processing to TF BART

* Add input processing for TF CTRL

* Add input processing to TF Distilbert

* Add input processing to TF DPR

* Add input processing to TF Electra

* Add deprecated arguments

* Add input processing to TF XLM

* remove unused imports

* Add input processing to TF Funnel

* Add input processing to TF GPT2

* Add input processing to TF Longformer

* Add input processing to TF Lxmert

* Apply style

* Add input processing to TF Mobilebert

* Add input processing to TF GPT

* Add input processing to TF Roberta

* Add input processing to TF T5

* Add input processing to TF TransfoXL

* Apply style

* Rebase on master

* Fix wrong model name

* Fix BART

* Apply style

* Put the deprecated warnings in the input processing function

* Remove the unused imports

* Raise an error when len(kwargs)>0

* test ModelOutput instead of TFBaseModelOutput

* Address Patrick's comments

* Address Patrick's comments

* Add boolean processing for the inputs

* Take into account the optional layers

* Add missing/unexpected weights in the other models

* Apply style

* rename parameters

* Apply style

* Remove useless

* Remove useless

* Remove useless

* Update num parameters

* Fix tests

* Address Patrick's comment

* Remove useless attribute

* [training] SAVE_STATE_WARNING was removed in pytorch

FYI `SAVE_STATE_WARNING` has been removed 3 days ago: pytorch/pytorch#46813

Fixes: #8232

@sgugger

* style, but add () to prevent autoformatters from botching it

* switch to try/except

* cleanup

* Add copyright everywhere missing

* Style

* initial commit

* [cli] lfs commands

* Fix FileSlice

* Tweak to FileSlice

* [hf_api] Backport filetype arg from `datasets`

cc @lhoestq

* Silm down the CI while i'm working

* Ok let's try this in CI

* Update config.yml

* Do not try this at home

* one more try

* Update lfs.py

* Revert "Tweak to FileSlice"

This reverts commit d7e32c4b3500400486411e85a2b74e57fb6b52f5.

* Update test_hf_api.py

* Update test_hf_api.py

* Update test_hf_api.py

* CI still green?

* make CI green again?

* Update test_hf_api.py

* make CI red again?

* Update test_hf_api.py

* add CI style back

* Fix CI?

* oh my

* doc + switch back to real staging endpoint

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

* Fix docblock + f-strings
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Pierric Cistac <Pierrci@users.noreply.github.com>

* Add TFGPT2ForSequenceClassification based on DialogRPT

* Add TFGPT2ForSequenceClassification based on DialogRPT

* TFGPT2ForSequenceClassification based on DialogRPT-refactored code, implemented review comments and added input processing

* Add TFGPT2ForSequenceClassification based on DialogRPT

* TFGPT2ForSequenceClassification based on DialogRPT-refactored code, implemented review comments and added input processing

* code refactor for latest other TF PR

* code refactor

* code refactor

* Update modeling_tf_gpt2.py

Self-explanatory ;) - Hope it helps!

* Apply on BERT and ALBERT

* Update TF Bart

* Add input processing to TF BART

* Add input processing for TF CTRL

* Add input processing to TF Distilbert

* Add input processing to TF DPR

* Add input processing to TF Electra

* Add deprecated arguments

* Add input processing to TF XLM

* Add input processing to TF Funnel

* Add input processing to TF GPT2

* Add input processing to TF Longformer

* Add input processing to TF Lxmert

* Apply style

* Add input processing to TF Mobilebert

* Add input processing to TF GPT

* Add input processing to TF Roberta

* Add input processing to TF T5

* Add input processing to TF TransfoXL

* Apply style

* Rebase on master

* Bug fix

* Retry to bugfix

* Retry bug fix

* Fix wrong model name

* Try another fix

* Fix BART

* Fix input precessing

* Apply style

* Put the deprecated warnings in the input processing function

* Remove the unused imports

* Raise an error when len(kwargs)>0

* test ModelOutput instead of TFBaseModelOutput

* Bug fix

* Address Patrick's comments

* Address Patrick's comments

* Address Sylvain's comments

* Add boolean processing for the inputs

* Apply style

* Missing optional

* Fix missing some input proc

* Update the template

* Fix missing inputs

* Missing input

* Fix args parameter

* Trigger CI

* Trigger CI

* Trigger CI

* Address Patrick's and Sylvain's comments

* Replace warn by warning

* Trigger CI

* Fix XLNET

* Fix detection

* fix resize tokens

* correct mobile_bert

* move embedding fix into modeling_utils.py

* refactor

* fix lm head resize

* refactor

* break lines to make sylvain happy

* add news tests

* fix typo

* improve test

* skip bart-like for now

* check if base_model = get(...) is necessary

* clean files

* improve test

* fix tests

* revert style templates

* Update templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py

* [trainer] improve code

This PR:
- removes redundant code 
```
self.model = model if model is not None else None
```
and
```
self.model = model
```
are the same.

* separate attribute assignment from code logic - which simplifies things further.

* whitespace

* Warning about too long input for fast tokenizers too

If truncation is not set in tokenizers, but the tokenization is too long
for the model (`model_max_length`), we used to trigger a warning that

The input would probably fail (which it most likely will).

This PR re-enables the warning for fast tokenizers too and uses common
code for the trigger to make sure it's consistent across.

* Checking for pair of inputs too.

* Making the function private and adding it's doc.

* Remove formatting ?? in odd place.

* Missed uppercase.

* Transfoxl sequence classification

* Transfoxl sequence classification

* Add a `distributed_env` property to TrainingArguments

* Change name

* Address comment

Prevent BatchEncoding from blindly passing casts down to the tensors it contains. Fixes #6582. (#8860)

Update src/transformers/tokenization_utils_base.py with review fix
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* 2 typos - from_question_encoder_generator_configs

fix 2 typos
from_encoder_generator_configs --> from_question_encoder_generator_configs

* apply make style