- 26 Oct, 2020 4 commits
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Sylvain Gugger authored
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Sam Shleifer authored
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Sam Shleifer authored
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Thomas Wolf authored
* fixing #8001 * make T5 tokenizer serialization more robust - style
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- 23 Oct, 2020 3 commits
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Anthony MOI authored
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Patrick von Platen authored
* remove reformer pad_token_id * fix pegasus
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Thomas Wolf authored
[tests|tokenizers] Refactoring pipelines test backbone - Small tokenizers improvements - General tests speedups (#7970) * WIP refactoring pipeline tests - switching to fast tokenizers * fix dialog pipeline and fill-mask * refactoring pipeline tests backbone * make large tests slow * fix tests (tf Bart inactive for now) * fix doc... * clean up for merge * fixing tests - remove bart from summarization until there is TF * fix quality and RAG * Add new translation pipeline tests - fix JAX tests * only slow for dialog * Fixing the missing TF-BART imports in modeling_tf_auto * spin out pipeline tests in separate CI job * adding pipeline test to CI YAML * add slow pipeline tests * speed up tf and pt join test to avoid redoing all the standalone pt and tf tests * Update src/transformers/tokenization_utils_base.py Co-authored-by:
Sam Shleifer <sshleifer@gmail.com> * Update src/transformers/pipelines.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/testing_utils.py Co-authored-by:
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- 22 Oct, 2020 7 commits
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Sylvain Gugger authored
* Only log total_flos at the end of training * Fix test
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Julien Chaumond authored
* FillMaskPipeline: support passing top_k on __call__ Also move from topk to top_k * migrate to new param name in tests * Review from @sgugger
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Sylvain Gugger authored
* Start simplification * More progress * Finished script * Address comments and update tests instructions * Wrong test * Accept files as inputs and fix test * Update src/transformers/trainer_utils.py Co-authored-by:
Julien Chaumond <chaumond@gmail.com> * Fix labels and add combined score * Add special labels * Update TPU command * Revert to old label strategy * Use model labels * Fix for STT-B * Styling * Apply suggestions from code review Co-authored-by:
Thomas Wolf <thomwolf@users.noreply.github.com> * Code styling * Fix review comments Co-authored-by:
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Nicolas Patry authored
* Actually make the "translation", "translation_XX_to_YY" task behave correctly. Background: - Currently "translation_cn_to_ar" does not work. (only 3 pairs are supported) - Some models, contain in their config the correct values for the (src, tgt) pair they can translate. It's usually just one pair, and we can infer it automatically from the `model.config.task_specific_params`. If it's not defined we can still probably load the TranslationPipeline nevertheless. Proposed fix: - A simplified version of what could become more general which is a `parametrized` task. "translation" + (src, tgt) in this instance it what we need in the general case. The way we go about it for now is simply parsing "translation_XX_to_YY". If cases of parametrized task arise we should preferably go in something closer to what `datasets` propose which is having a secondary argument `task_options`? that will be close to what that task requires. - Should be backward compatible in all cases for instance `pipeline(task="translation_en_to_de") should work out of the box. - Should provide a warning when a specific translation pair has been selected on behalf of the user using `model.config.task_specific_params`. * Update src/transformers/pipelines.py Co-authored-by:
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Patrick von Platen authored
* fix config save * add test * add config class variable and another test * line break * fix fsmt and typo * god am I making many errors today :-/ * Update src/transformers/configuration_utils.py Co-authored-by:
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Stas Bekman authored
* basic config test with online model * typo * style * better test
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Stas Bekman authored
* slow tests should be slow * exception note * style * integrate LysandreJik's notes with some expansions * Apply suggestions from code review Co-authored-by:
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- 21 Oct, 2020 5 commits
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Patrick von Platen authored
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Fran莽ois Lagunas authored
Improved TensorBoard and Wandb integration, as well as optuna and ray/tune support, with minor modifications to trainer core code.
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Stas Bekman authored
* 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
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Sam Shleifer authored
* 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:
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Patrick von Platen authored
* new prophetnet model * correct name * make style
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- 20 Oct, 2020 1 commit
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Stas Bekman authored
* rename skip targets + docs * fix quotes * style * Apply suggestions from code review Co-authored-by:
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- 19 Oct, 2020 7 commits
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Quentin Lhoest authored
* 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
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Julien Rossi authored
* 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()
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Weizhen authored
* add new model prophetnet prophetnet modified modify codes as suggested v1 add prophetnet test files * still bugs, because of changed output formats of encoder and decoder * move prophetnet into the latest version * clean integration tests * clean tokenizers * add xlm config to init * correct typo in init * further refactoring * continue refactor * save parallel * add decoder_attention_mask * fix use_cache vs. past_key_values * fix common tests * change decoder output logits * fix xlm tests * make common tests pass * change model architecture * add tokenizer tests * finalize model structure * no weight mapping * correct n-gram stream attention mask as discussed with qweizhen * remove unused import * fix index.rst * fix tests * delete unnecessary code * add fast integration test * rename weights * final weight remapping * save intermediate * Descriptions for Prophetnet Config File * finish all models * finish new model outputs * delete unnecessary files * refactor encoder layer * add dummy docs * code quality * fix tests * add model pages to doctree * further refactor * more refactor, more tests * finish code refactor and tests * remove unnecessary files * further clean up * add docstring template * finish tokenizer doc * finish prophetnet * fix copies * fix typos * fix tf tests * fix fp16 * fix tf test 2nd try * fix code quality * add test for each model * merge new tests to branch * Update model_cards/microsoft/prophetnet-large-uncased-cnndm/README.md Co-authored-by:
weizhen <weizhen@mail.ustc.edu.cn> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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Funtowicz Morgan authored
* WIP flax bert * Initial commit Bert Jax/Flax implementation. * Embeddings working and equivalent to PyTorch. * Move embeddings in its own module BertEmbeddings * Added jax.jit annotation on forward call * BertEncoder on par with PyTorch ! :D * Add BertPooler on par with PyTorch !! * Working Jax+Flax implementation of BertModel with < 1e-5 differences on the last layer. * Fix pooled output to take only the first token of the sequence. * Refactoring to use BertConfig from transformers. * Renamed FXBertModel to FlaxBertModel * Model is now initialized in FlaxBertModel constructor and reused. * WIP JaxPreTrainedModel * Cleaning up the code of FlaxBertModel * Added ability to load Flax model saved through save_pretrained() * Added ability to convert Pytorch Bert model to FlaxBert * FlaxBert can now load every Pytorch Bert model with on-the-fly conversion * Fix hardcoded shape values in conversion scripts. * Improve the way we handle LayerNorm conversion from PyTorch to Flax. * Added positional embeddings as parameter of BertModel with default to np.arange. * Let's roll FlaxRoberta ! * Fix missing position_ids parameters on predict for Bert * Flax backend now supports batched inputs Signed-off-by:
Morgan Funtowicz <morgan@huggingface.co> * Make it possible to load msgpacked model on convert from pytorch in last resort. Signed-off-by:
Stefan Schweter <stefan@schweter.it> * Attempt to make style * Attempt to make style in tests too * Added jax & jaxlib to the flax optional dependencies. * Attempt to fix flake8 warnings ... * Redo black again and again * When black and flake8 fight each other for a space ...
馃挜 馃挜 馃挜 * Try removing trailing comma to make both black and flake happy! * Fix invalid is_<framework>_available call, thanks @LysandreJik馃帀 * Fix another invalid import in flax_roberta test * Bump and pin flax release to 0.1.0. * Make flake8 happy, remove unused jax import * Change the type of the catch for msgpack. * Remove unused import. * Put seed as optional constructor parameter. * trigger ci again * Fix too much parameters in BertAttention. * Formatting. * Simplify Flax unittests to avoid machine crashes. * Fix invalid number of arguments when raising issue for an unknown model. * Address @bastings comment in PR, moving jax.jit decorated outside of __call__ * Fix incorrect path to require_flax/require_pytorch functions. Signed-off-by:Morgan Funtowicz <funtowiczmo@gmail.com> * Attempt to make style. Signed-off-by:
馃幎 Signed-off-by:Marc van Zee <marcvanzee@gmail.com> * Bump flax to it's latest version Co-authored-by:
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Lalit Pagaria authored
* Propagating n_docs as parameter to all RagModel's related functions that defaults to self.config.n_docs * Making n_docs parameter's default value to None in marginalize function * Fixing code quality issues * Handle the special case when generator is of T5PreTrainedModel instance type. T5PreTrainedModel do not have n_docs as parameter * T5PreTrainedModel do not have n_docs as parameter * Addressing review comment Co-authored-by:
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Stas Bekman authored
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Sam Shleifer authored
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- 18 Oct, 2020 1 commit
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Thomas Wolf authored
* splitting fast and slow tokenizers [WIP] * [WIP] splitting sentencepiece and tokenizers dependencies * update dummy objects * add name_or_path to models and tokenizers * prefix added to file names * prefix * styling + quality * spliting all the tokenizer files - sorting sentencepiece based ones * update tokenizer version up to 0.9.0 * remove hard dependency on sentencepiece
馃帀 * and removed hard dependency on tokenizers馃帀 * update conversion script * update missing models * fixing tests * move test_tokenization_fast to main tokenization tests - fix bugs * bump up tokenizers * fix bert_generation * update ad fix several tokenizers * keep sentencepiece in deps for now * fix funnel and deberta tests * fix fsmt * fix marian tests * fix layoutlm * fix squeezebert and gpt2 * fix T5 tokenization * fix xlnet tests * style * fix mbart * bump up tokenizers to 0.9.2 * fix model tests * fix tf models * fix seq2seq examples * fix tests without sentencepiece * fix slow => fast conversion without sentencepiece * update auto and bert generation tests * fix mbart tests * fix auto and common test without tokenizers * fix tests without tokenizers * clean up tests lighten up when tokenizers + sentencepiece are both off * style quality and tests fixing * add sentencepiece to doc/examples reqs * leave sentencepiece on for now * style quality split hebert and fix pegasus * WIP Herbert fast * add sample_text_no_unicode and fix hebert tokenization * skip FSMT example test for now * fix style * fix fsmt in example tests * update following Lysandre and Sylvain's comments * Update src/transformers/testing_utils.py Co-authored-by:
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- 16 Oct, 2020 4 commits
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Stas Bekman authored
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Sam Shleifer authored
* 2 beam output * unassign/remove TODOs * remove one more
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rmroczkowski authored
* HerBERT transformer model for Polish language understanding. * HerbertTokenizerFast generated with HerbertConverter * Herbert base and large model cards * Herbert model cards with tags * Herbert tensorflow models * Herbert model tests based on Bert test suit * src/transformers/tokenization_herbert.py edited online with Bitbucket * src/transformers/tokenization_herbert.py edited online with Bitbucket * docs/source/model_doc/herbert.rst edited online with Bitbucket * Herbert tokenizer tests and bug fixes * src/transformers/configuration_herbert.py edited online with Bitbucket * Copyrights and tests for TFHerbertModel * model_cards/allegro/herbert-base-cased/README.md edited online with Bitbucket * model_cards/allegro/herbert-large-cased/README.md edited online with Bitbucket * Bug fixes after testing * Reformat modified_only_fixup * Proper order of configuration * Herbert proper documentation formatting * Formatting with make modified_only_fixup * Dummies fixed * Adding missing models to documentation * Removing HerBERT model as it is a simple extension of BERT * Update model_cards/allegro/herbert-base-cased/README.md Co-authored-by:
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Lysandre Debut authored
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- 15 Oct, 2020 1 commit
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Nicolas Patry authored
* Improving Pipelines by defaulting to framework='tf' when pytorch seems unavailable. * Actually changing the default resolution order to account for model defaults Adding a new tests for each pipeline to check that pipeline(task) works too without manually adding the framework too.
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- 14 Oct, 2020 2 commits
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Sylvain Gugger authored
* Add eval_accumulation_step and clean distributed eval * Add TPU test * Add TPU stuff * Fix arg name * Fix Seq2SeqTrainer * Fix total_size * Update src/transformers/trainer_pt_utils.py Co-authored-by:
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Jonathan Chang authored
* Add support for gpt2 batch inferencing * add test * remove typo Co-authored-by:
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- 13 Oct, 2020 4 commits
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Sylvain Gugger authored
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Sam Shleifer authored
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Patrick von Platen authored
* fix rag * Update tokenizer save_pretrained Co-authored-by: -
Felipe Curti authored
* Add Documentation for GPT-1 Classification * Add GPT-1 with Classification head * Add tests for GPT-1 Classification * Add GPT-1 For Classification to auto models * Remove authorized missing keys, change checkpoint to openai-gpt
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- 10 Oct, 2020 1 commit
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Sylvain Gugger authored
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