transformers/.gitignore

# Initially taken from Github's Python gitignore file

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#ctags
tags
switch to full google code 2018-11-01 01:46:03 +08:00			`# Initially taken from Github's Python gitignore file`

			`# Byte-compiled / optimized / DLL files`
			`__pycache__/`
			`*.py[cod]`
			`*$py.class`

			`# C extensions`
			`*.so`

Tensorflow improvements (#4530) * Better None gradients handling * Apply Style * Apply Style * Create a loss class per task to compute its respective loss * Add loss classes to the ALBERT TF models * Add loss classes to the BERT TF models * Add question answering and multiple choice to TF Camembert * Remove prints * Add multiple choice model to TF DistilBERT + loss computation * Add question answering model to TF Electra + loss computation * Add token classification, question answering and multiple choice models to TF Flaubert * Add multiple choice model to TF Roberta + loss computation * Add multiple choice model to TF XLM + loss computation * Add multiple choice and question answering models to TF XLM-Roberta * Add multiple choice model to TF XLNet + loss computation * Remove unused parameters * Add task loss classes * Reorder TF imports + add new model classes * Add new model classes * Bugfix in TF T5 model * Bugfix for TF T5 tests * Bugfix in TF T5 model * Fix TF T5 model tests * Fix T5 tests + some renaming * Fix inheritance issue in the AutoX tests * Add tests for TF Flaubert and TF XLM Roberta * Add tests for TF Flaubert and TF XLM Roberta * Remove unused piece of code in the TF trainer * bugfix and remove unused code * Bugfix for TF 2.2 * Apply Style * Divide TFSequenceClassificationAndMultipleChoiceLoss into their two respective name * Apply style * Mirror the PT Trainer in the TF one: fp16, optimizers and tb_writer as class parameter and better dataset handling * Fix TF optimizations tests and apply style * Remove useless parameter * Bugfix and apply style * Fix TF Trainer prediction * Now the TF models return the loss such as their PyTorch couterparts * Apply Style * Ignore some tests output * Take into account the SQuAD cls_index, p_mask and is_impossible parameters for the QuestionAnswering task models. * Fix names for SQuAD data * Apply Style * Fix conflicts with 2.11 release * Fix conflicts with 2.11 * Fix wrongname * Add better documentation on the new create_optimizer function * Fix isort * logging_dir: use same default as PyTorch Co-authored-by: Julien Chaumond <chaumond@gmail.com> 2020-06-05 07:45:53 +08:00			`# tests and logs`
			`tests/fixtures`
			`logs/`

switch to full google code 2018-11-01 01:46:03 +08:00			`# Distribution / packaging`
			`.Python`
			`build/`
			`develop-eggs/`
			`dist/`
			`downloads/`
			`eggs/`
			`.eggs/`
			`lib/`
			`lib64/`
			`parts/`
			`sdist/`
			`var/`
			`wheels/`
			`*.egg-info/`
			`.installed.cfg`
			`*.egg`
			`MANIFEST`

			`# PyInstaller`
			`# Usually these files are written by a python script from a template`
			`# before PyInstaller builds the exe, so as to inject date/other infos into it.`
			`*.manifest`
			`*.spec`

			`# Installer logs`
			`pip-log.txt`
			`pip-delete-this-directory.txt`

			`# Unit test / coverage reports`
			`htmlcov/`
			`.tox/`
			`.nox/`
			`.coverage`
			`.coverage.*`
			`.cache`
			`nosetests.xml`
			`coverage.xml`
			`*.cover`
			`.hypothesis/`
			`.pytest_cache/`

			`# Translations`
			`*.mo`
			`*.pot`

			`# Django stuff:`
			`*.log`
			`local_settings.py`
			`db.sqlite3`

			`# Flask stuff:`
			`instance/`
			`.webassets-cache`

			`# Scrapy stuff:`
			`.scrapy`

			`# Sphinx documentation`
			`docs/_build/`

			`# PyBuilder`
			`target/`

			`# Jupyter Notebook`
			`.ipynb_checkpoints`

			`# IPython`
			`profile_default/`
			`ipython_config.py`

			`# pyenv`
			`.python-version`

			`# celery beat schedule file`
			`celerybeat-schedule`

			`# SageMath parsed files`
			`*.sage.py`

			`# Environments`
			`.env`
			`.venv`
			`env/`
			`venv/`
			`ENV/`
			`env.bak/`
			`venv.bak/`

			`# Spyder project settings`
			`.spyderproject`
			`.spyproject`

			`# Rope project settings`
			`.ropeproject`

			`# mkdocs documentation`
			`/site`

			`# mypy`
			`.mypy_cache/`
			`.dmypy.json`
			`dmypy.json`

			`# Pyre type checker`
			`.pyre/`

			`# vscode`
update gitignore 2018-11-05 21:53:43 +08:00			`.vscode`

Pycharm folder added to gitignore 2019-10-09 23:32:21 +08:00			`# Pycharm`
			`.idea`

update gitignore 2018-11-05 21:53:43 +08:00			`# TF code`
more explicit notation: num_train_step => num_train_optimization_steps 2019-02-05 22:36:33 +08:00			`tensorflow_code`

			`# Models`
update gitignore 2019-06-20 19:52:56 +08:00			`models`
updating run_xlnet_classifier 2019-06-24 18:00:09 +08:00			`proc_data`

			`# examples`
adding tests to examples - updating summary module - coverage update 2019-07-09 21:29:42 +08:00			`runs`
Trainer (#3800) * doc * [tests] Add sample files for a regression task * [HUGE] Trainer * Feedback from @sshleifer * Feedback from @thomwolf + logging tweak * [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes * [glue] Use default max_seq_length of 128 like before * [glue] move DataTrainingArguments around * [ner] Change interface of InputExample, and align run_{tf,pl} * Re-align the pl scripts a little bit * ner * [ner] Add integration test * Fix language_modeling with API tweak * [ci] Tweak loss target * Don't break console output * amp.initialize: model must be on right device before * [multiple-choice] update for Trainer * Re-align to 827d6d6ef071029cfe82838a18dab046b5813976 2020-04-22 08:11:56 +08:00			`/runs_old`
Trainer: add logging through Weights & Biases (#3916) * feat: add logging through Weights & Biases * feat(wandb): make logging compatible with all scripts * style(trainer.py): fix formatting * [Trainer] Tweak wandb integration Co-authored-by: Julien Chaumond <chaumond@gmail.com> 2020-05-05 10:42:27 +08:00			`/wandb`
BIG Reorganize examples (#4213) * Created using Colaboratory * [examples] reorganize files * remove run_tpu_glue.py as superseded by TPU support in Trainer * Bugfix: int, not tuple * move files around 2020-05-08 01:48:44 +08:00			`/examples/runs`
			`/examples/*/.args`
various fix and clean up on run_lm_finetuning 2019-08-20 21:52:12 +08:00
			`# data`
updated data processor and metrics 2019-09-24 23:10:50 +08:00			`/data`
Adding CTRL (squashed commit) adding conversion script adding first draft of modeling & tokenization adding placeholder for test files bunch of changes registering the tokenizer/model/etc tests change link; something is very VERY wrong here weird end-of-word thingy going on i think the tokenization works now ; wrote the unit tests overall structure works;load w next the monster is alive! works after some cleanup as well adding emacs autosave to gitignore currently only supporting the 48 layer one; seems to infer fine on my macbook cleanup fixing some documentation fixing some documentation tests passing? now works on CUDA also adding greedy? adding greedy sampling works well 2019-10-01 00:48:41 +08:00			`serialization_dir`

			`# emacs`
whitespace 2019-11-12 04:18:09 +08:00			`.~`
			`debug.env`
update .gitignore to ignore .swp files created when using vim 2020-02-17 21:26:28 +08:00
			`# vim`
			`.*.swp`
add_ctags_to_git_ignore (#2984) 2020-02-24 05:55:32 +08:00
			`#ctags`
			`tags`