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  1. 31 Jul, 2020 1 commit
  3. 30 Jul, 2020 4 commits
    • Sylvain Gugger's avatar
      Doc tokenizer (#6110) · f3065abd
      Sylvain Gugger authored 
      

* Start doc tokenizers

* Tokenizer documentation

* Start doc tokenizers

* Tokenizer documentation

* Formatting after rebase

* Formatting after merge

* Update docs/source/main_classes/tokenizer.rst
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Address comment

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: default avatarThomas Wolf <thomwolf@users.noreply.github.com>

* Address Thom's comments
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>
Co-authored-by: default avatarThomas Wolf <thomwolf@users.noreply.github.com>
      f3065abd
    • guillaume-be's avatar
      Addition of a DialoguePipeline (#5516) · e642c789
      guillaume-be authored 
      

* initial commit for pipeline implementation

Addition of input processing and history concatenation

* Conversation pipeline tested and working for single & multiple conversation inputs

* Added docstrings for dialogue pipeline

* Addition of dialogue pipeline integration tests

* Delete test_t5.py

* Fixed max code length

* Updated styling

* Fixed test broken by formatting tools

* Removed unused import

* Added unit test for DialoguePipeline

* Fixed Tensorflow compatibility

* Fixed multi-framework support using framework flag

* - Fixed docstring
- Added `min_length_for_response` as an initialization parameter
- Renamed `*args` to `conversations`, `conversations` being a `Conversation` or a `List[Conversation]`
- Updated truncation to truncate entire segments of conversations, instead of cutting in the middle of a user/bot input

* - renamed pipeline name from dialogue to conversational
- removed hardcoded default value of 1000 and use config.max_length instead
- added `append_response` and `set_history` method to the Conversation class to avoid direct fields mutation
- fixed bug in history truncation method

* - Updated ConversationalPipeline to accept only active conversations (otherwise a ValueError is raised)

* - Simplified input tensor conversion

* - Updated attention_mask value for Tensorflow compatibility

* - Updated last dialogue reference to conversational & fixed integration tests

* Fixed conflict with master

* Updates following review comments

* Updated formatting

* Added Conversation and ConversationalPipeline to the library __init__, addition of docstrings for Conversation, added both to the docs

* Update src/transformers/pipelines.py

Updated docsting following review
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      e642c789
    • Sylvain Gugger's avatar
      Switch from return_tuple to return_dict (#6138) · 91cb9546
      Sylvain Gugger authored 
      

* Switch from return_tuple to return_dict

* Fix test

* [WIP] Test TF Flaubert + Add {XLM, Flaubert}{TokenClassification, MultipleC… (#5614)

* Test TF Flaubert + Add {XLM, Flaubert}{TokenClassification, MultipleChoice} models and tests

* AutoModels


Tiny tweaks

* Style

* Final changes before merge

* Re-order for simpler review

* Final fixes

* Addressing @sgugger's comments

* Test MultipleChoice

* Rework TF trainer (#6038)

* Fully rework training/prediction loops

* fix method name

* Fix variable name

* Fix property name

* Fix scope

* Fix method name

* Fix tuple index

* Fix tuple index

* Fix indentation

* Fix variable name

* fix eval before log

* Add drop remainder for test dataset

* Fix step number + fix logging datetime

* fix eval loss value

* use global step instead of step + fix logging at step 0

* Fix logging datetime

* Fix global_step usage

* Fix breaking loop + logging datetime

* Fix step in prediction loop

* Fix step breaking

* Fix train/test loops

* Force TF at least 2.2 for the trainer

* Use assert_cardinality to facilitate the dataset size computation

* Log steps per epoch

* Make tfds compliant with TPU

* Make tfds compliant with TPU

* Use TF dataset enumerate instead of the Python one

* revert previous commit

* Fix data_dir

* Apply style

* rebase on master

* Address Sylvain's comments

* Address Sylvain's and Lysandre comments

* Trigger CI

* Remove unused import

* Switch from return_tuple to return_dict

* Fix test

* Add recent model
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>
Co-authored-by: default avatarJulien Plu <plu.julien@gmail.com>
      91cb9546
    • Oren Amsalem's avatar
      Actually the extra_id are from 0-99 and not from 1-100 (#5967) · d24ea708
      Oren Amsalem authored 
      a = tokenizer.encode("we got a <extra_id_99>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[   62,   530,     3,     9, 32000]])
a = tokenizer.encode("we got a <extra_id_100>", return_tensors='pt',add_special_tokens=True)
print(a)
>tensor([[   62,   530,     3,     9,     3,     2, 25666,   834,    23,    26,
           834,  2915,  3155]])
      d24ea708
  5. 29 Jul, 2020 2 commits
  7. 27 Jul, 2020 1 commit
  9. 24 Jul, 2020 1 commit
  11. 22 Jul, 2020 1 commit
  13. 21 Jul, 2020 1 commit
  15. 20 Jul, 2020 1 commit
  17. 14 Jul, 2020 1 commit
  19. 13 Jul, 2020 2 commits
  21. 10 Jul, 2020 2 commits
  23. 09 Jul, 2020 2 commits
  25. 08 Jul, 2020 1 commit
  27. 07 Jul, 2020 4 commits
    • Joe Davison's avatar
      Guide to fixed-length model perplexity evaluation (#5449) · b4b33fdf
      Joe Davison authored 
      * add first draft ppl guide

* upload imgs

* expand on strides

* ref typo

* rm superfluous past var

* add tokenization disclaimer
      b4b33fdf
    • Sam Shleifer's avatar
      Add mbart-large-cc25, support translation finetuning (#5129) · 353b8f1e
      Sam Shleifer authored 
      improve unittests for finetuning, especially w.r.t testing frozen parameters
fix freeze_embeds for T5
add streamlit setup.cfg
      353b8f1e
    • Suraj Patil's avatar
      [docs] fix model_doc links in model summary (#5566) · 33e43edd
      Suraj Patil authored 
      * fix model_doc links

* update model links
      33e43edd
    • Quentin Lhoest's avatar
      Add DPR model (#5279) · fbd87921
      Quentin Lhoest authored 
      

* 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: default avatarLysandre <lysandre.debut@reseau.eseo.fr>
      fbd87921
  29. 06 Jul, 2020 4 commits
  31. 02 Jul, 2020 2 commits
  33. 01 Jul, 2020 4 commits
  35. 30 Jun, 2020 2 commits
  37. 29 Jun, 2020 4 commits