GitLab

* correct xlm prophetnet auto model and examples

* fix line-break docs

Improved TensorBoard and Wandb integration, as well as optuna and ray/tune support, with minor modifications to trainer core code.

* Create README.md

model card for cambridgeltl/BioRedditBERT-uncased.

* Update model_cards/cambridgeltl/BioRedditBERT-uncased/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Create README.md

* Update model_cards/lanwuwei/GigaBERT-v3-Arabic-and-English/README.md

* Update model_cards/lanwuwei/GigaBERT-v3-Arabic-and-English/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

see https://github.com/huggingface/transformers/commit/16d3cc187ded95946231956460e9004a236474e2 and https://github.com/huggingface/transformers/pull/7836

* make the save_load special key tests common

* handle mbart

* cleaner solution

* fix

* move test_save_load_missing_keys back into fstm for now

* restore

* style

* add marian

* add pegasus

* blenderbot

* revert - no static embed

* Create README.md

README file for the Arabic NER model

* Update README.md

* Update README.md

* Update hatmimoha/arabic-ner/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* half done

* doc improvement

* Cp test file

* brokedn

* broken test

* undo some mess

* ckpt

* borked

* Halfway

* 6 passing

* boom boom

* Much progress but still 6

* boom boom

* merged master

* 10 passing

* boom boom

* Style

* no t5 changes

* 13 passing

* Integration test failing, but not gibberish

* Frustrated

* Merged master

* 4 fail

* 4 fail

* fix return_dict

* boom boom

* Still only 4

* prepare method

* prepare method

* before delete classif

* Skip tests to avoid adding boilerplate

* boom boom

* fast tests passing

* style

* boom boom

* Switch to supporting many input types

* remove FIXMENORM

* working

* Fixed past_key_values/decoder_cached_states confusion

* new broken test

* Fix attention mask kwarg name

* undo accidental

* Style and reviewers

* style

* Docs and common tests

* Cleaner assert messages

* copy docs

* style issues

* Sphinx fix

* Simplify caching logic

* test does not require torch

* copy _NoLayerEmbedTokens

* Update src/transformers/modeling_tf_bart.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update tests/test_modeling_tf_bart.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_tf_bart.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_tf_bart.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_tf_bart.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Line length and dont document None

* Add pipeline test coverage

* assert msg

* At parity

* Assert messages

* mark slow

* Update compile test

* back in init

* Merge master

* Fix tests
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* new prophetnet model

* correct name

* make style

* labels and decoder_input_ids to Glossary

* Formatting fixes

* Update docs/source/glossary.rst
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* sam's comments
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

* [flax] fix repo_check

Unless, this is actually a problem, this adds `modeling_flax_utils` to ignore list. otherwise currently it expects to have a 'tests/test_modeling_flax_utils.py' for it.
for context please see: https://github.com/huggingface/transformers/pull/3722#issuecomment-712360415

* fix 2 more issues

* merge https://github.com/huggingface/transformers/pull/7919/

I'm using transformers 3.3.1 and run a training script with `--save_total_limit 3`. I hit the exception below, and after debugging the code found that it wrongly tries to index into the `best_model_checkpoint`'s *str* rather than the `sorted_checkpoints` array. When running without the fix I got this exception:

```
Traceback (most recent call last):
  File "/<HOME>/.conda/envs/transformers/lib/python3.7/site-packages/transformers/trainer.py", line 921, in _save_training
    self._rotate_checkpoints(use_mtime=True)
  File "/<HOME>/.conda/envs/transformers/lib/python3.7/site-packages/transformers/trainer.py", line 1283, in _rotate_checkpoints
    checkpoints_sorted = self._sorted_checkpoints(use_mtime=use_mtime)
  File "/<HOME>/.conda/envs/transformers/lib/python3.7/site-packages/transformers/trainer.py", line 1274, in _sorted_checkpoints
    checkpoints_sorted[best_model_index],
TypeError: 'str' object does not support item assignment
```

* rename skip targets + docs

* fix quotes

* style

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

* small improvements

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

* fix encoder decoder models

* add .gitignore

* Raise error when using AMP on non-CUDA device

* make style

* make style

Seeing error when sending `decoder_config` as a parameter while initializing a encoder-decoder model from pretrained. 
fixed "UnboundLocalError: local variable 'decoder_config' referenced before assignment"

* add CustomHFIndex

* typo in config

* update tests

* add custom dataset example

* clean script

* update test data

* minor in test

* docs

* docs

* style

* fix imports

* allow to pass the indexed dataset directly

* update tests

* use multiset DPR

* address thom and patrick's comments

* style

* update dpr tokenizer

* add output_dir flag in use_own_knowledge_dataset.py

* allow custom datasets in examples/rag/finetune.py

* add test for custom dataset in distributed rag retriever

* fix 5990

* accomodate iterable dataset without predefined length
* set it as 1 use case: provide max_steps, and NO num_epochs
* Is a merge of master and PR 5995

* fix trainer test under TF

* fix only for torch
* TF trainer untouched
* trainer tests are skipped when no torch

* address comments

* fix quality checks

* remove torch.dataset from test_trainer

* unnecessary inheritance
* RegressionDataset implements all needed methods __len__ and __getitem__

* fix quality checks

* restore RegressionDataset

* was wrongly under is_torch_available()