GitLab

* Update PretrainedConfig doc

* Formatting

* Small fixes

* Forgotten args and more cleanup

cc @yjernite

(hotlinking to image works on GitHub but not on external sites)

cc @bashartalafha

* Pytorch gpu => cpu proper device

* Memoryless XLNet warning + fixed memories during generation

* Revert "Memoryless XLNet warning + fixed memories during generation"

This reverts commit 3d3251ff

* Took the operations on the generated_sequence out of the ensure_device scope

* Test XLA examples

* Style

* Using `require_torch_tpu`

* Style

* No need for pytest

* Ensure padding and question cannot have higher probs than context.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Add bart the the list of tokenizers adding two <sep> tokens for squad_convert_example_to_feature
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

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

* Addressing @patrickvonplaten comments.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Addressing @patrickvonplaten comments about masking non-context element when generating the answer.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Addressing @sshleifer comments.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make sure we mask CLS after handling impossible answers
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Mask in the correct vectors ...
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Create README.md

Add newly trained `calbert-tiny-uncased` (complete rewrite with SentencePiece)

* Add Exbert link

* Apply suggestions from code review
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Add B I handling to grouping

* Add fix to include separate entity as last token

* move last_idx definition outside loop

* Use first entity in entity group as reference for entity type

* Add test cases

* Take out extra class accidentally added

* Return tf ner grouped test to original

* Take out redundant last entity

* Get last_idx safely
Co-authored-by: ColleterVi <36503688+ColleterVi@users.noreply.github.com>

* Fix first entity comment

* Create separate functions for group_sub_entities and group_entities (splitting call method to testable functions)

* Take out unnecessary last_idx

* Remove additional forward pass test

* Move token classification basic tests to separate class

* Move token classification basic tests back to monocolumninputtestcase

* Move base ner tests to nerpipelinetests

* Take out unused kwargs

* Add back mandatory_keys argument

* Add unitary tests for group_entities in _test_ner_pipeline

* Fix last entity handling

* Fix grouping fucntion used

* Add typing to group_sub_entities and group_entities
Co-authored-by: ColleterVi <36503688+ColleterVi@users.noreply.github.com>

* Créé avec Colaboratory

* delete old file

* tf_train

* adapt timing for tpu

* fix timing

* fix timing

* fix timing

* fix timing

* update notebook

* add tests

* Add deebert code

* Add readme of deebert

* Add test for deebert

Update test for Deebert

* Update DeeBert (README, class names, function refactoring); remove requirements.txt

* Format update

* Update test

* Update readme and model init methods

* add first draft ppl guide

* upload imgs

* expand on strides

* ref typo

* rm superfluous past var

* add tokenization disclaimer

improve unittests for finetuning, especially w.r.t testing frozen parameters
fix freeze_embeds for T5
add streamlit setup.cfg

cc @BramVanroy

[Almost all TF models] TF clean up: add missing CLM / MLM loss; fix T5 naming and keras compile (#5395)

* add first version of clm tf

* make style

* add more tests for bert

* update tf clm loss

* fix tests

* correct tf ner script

* add mlm loss

* delete bogus file

* clean tf auto model + add tests

* finish adding clm loss everywhere

* fix training in distilbert

* fix flake8

* save intermediate

* fix tf t5 naming

* remove prints

* finish up

* up

* fix tf gpt2

* fix new test utils import

* fix flake8

* keep backward compatibility

* Update src/transformers/modeling_tf_albert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_auto.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_electra.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_roberta.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_mobilebert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_auto.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_tf_distilbert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* apply sylvains suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix model_doc links

* update model links

* fix test imports

* fix max_length

* style

* fix tests

* Passing all but one torchscript test

* Style

* move comment

* remove unneeded assert

* add SquadDataset

* add DataCollatorForQuestionAnswering

* update __init__

* add run_squad with  trainer

* add DataCollatorForQuestionAnswering in __init__

* pass data_collator to trainer

* doc tweak

* Update run_squad_trainer.py

* Update __init__.py

* Update __init__.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* beginning of dpr modeling

* wip

* implement forward

* remove biencoder + better init weights

* export dpr model to embed model for nlp lib

* add new api

* remove old code

* make style

* fix dumb typo

* don't load bert weights

* docs

* docs

* style

* move the `k` parameter

* fix init_weights

* add pretrained configs

* minor

* update config names

* style

* better config

* style

* clean code based on PR comments

* change Dpr to DPR

* fix config

* switch encoder config to a dict

* style

* inheritance -> composition

* add messages in assert startements

* add dpr reader tokenizer

* one tokenizer per model

* fix base_model_prefix

* fix imports

* typo

* add convert script

* docs

* change tokenizers conf names

* style

* change tokenizers conf names

* minor

* minor

* fix wrong names

* minor

* remove unused convert functions

* rename convert script

* use return_tensors in tokenizers

* remove n_questions dim

* move generate logic to tokenizer

* style

* add docs

* docs

* quality

* docs

* add tests

* style

* add tokenization tests

* DPR full tests

* Stay true to the attention mask building

* update docs

* missing param in bert input docs

* docs

* style
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* Create model card

Create model card for electra-small-discriminator finetuned on SQUAD v1.1

* Set right model path in code example