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  1. 01 Oct, 2020 1 commit
  3. 30 Sep, 2020 1 commit
  5. 28 Sep, 2020 1 commit
  7. 24 Sep, 2020 2 commits
  9. 23 Sep, 2020 1 commit
  11. 22 Sep, 2020 2 commits
    • Ola Piktus's avatar
      RAG (#6813) · c754c41c
      Ola Piktus authored 
      * added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* path fix

* Formatting / renaming prior to actual work

* added rag WIP

* Formatting / renaming prior to actual work

* First commit

* improve comments

* Retrieval evaluation scripts

* refactor to include modeling outputs + MPI retriever

* Fix rag-token model + refactor

* Various fixes + finetuning logic

* use_bos fix

* Retrieval refactor

* Finetuning refactoring and cleanup

* Add documentation and cleanup

* Remove set_up_rag_env.sh file

* Fix retrieval wit HF index

* Fix import errors

* Fix quality errors

* Refactor as per suggestions in https://github.com/huggingface/transformers/pull/6813#issuecomment-687208867



* fix quality

* Fix RAG Sequence generation

* minor cleanup plus initial tests

* fix test

* fix tests 2

* Comments fix

* post-merge fixes

* Improve readme + post-rebase refactor

* Extra dependencied for tests

* Fix tests

* Fix tests 2

* Refactor test requirements

* Fix tests 3

* Post-rebase refactor

* rename nlp->datasets

* RAG integration tests

* add tokenizer to slow integration test and allow retriever to run on cpu

* add tests; fix position ids warning

* change structure

* change structure

* add from encoder generator

* save working solution

* make all integration tests pass

* add RagTokenizer.save/from_pretrained and RagRetriever.save/from_pretrained

* don't save paths

* delete unnecessary imports

* pass config to AutoTokenizer.from_pretrained for Rag tokenizers

* init wiki_dpr only once

* hardcode legacy index and passages paths (todo: add the right urls)

* finalize config

* finalize retriver api and config api

* LegacyIndex index download refactor

* add dpr to autotokenizer

* make from pretrained more flexible

* fix ragfortokengeneration

* small name changes in tokenizer

* add labels to models

* change default index name

* add retrieval tests

* finish token generate

* align test with previous version and make all tests pass

* add tests

* finalize tests

* implement thoms suggestions

* add first version of test

* make first tests work

* make retriever platform agnostic

* naming

* style

* add legacy index URL

* docstrings + simple retrieval test for distributed

* clean model api

* add doc_ids to retriever's outputs

* fix retrieval tests

* finish model outputs

* finalize model api

* fix generate problem for rag

* fix generate for other modles

* fix some tests

* save intermediate

* set generate to default

* big refactor generate

* delete rag_api

* correct pip faiss install

* fix auto tokenization test

* fix faiss install

* fix test

* move the distributed logic to examples

* model page

* docs

* finish tests

* fix dependencies

* fix import in __init__

* Refactor eval_rag and finetune scripts

* start docstring

* add psutil to test

* fix tf test

* move require torch to top

* fix retrieval test

* align naming

* finish automodel

* fix repo consistency

* test ragtokenizer save/load

* add rag model output docs

* fix ragtokenizer save/load from pretrained

* fix tokenizer dir

* remove torch in retrieval

* fix docs

* fixe finetune scripts

* finish model docs

* finish docs

* remove auto model for now

* add require torch

* remove solved todos

* integrate sylvains suggestions

* sams comments

* correct mistake on purpose

* improve README

* Add generation test cases

* fix rag token

* clean token generate

* fix test

* add note to test

* fix attention mask

* add t5 test for rag

* Fix handling prefix in finetune.py

* don't overwrite index_name
Co-authored-by: default avatarPatrick Lewis <plewis@fb.com>
Co-authored-by: default avatarAleksandra Piktus <piktus@devfair0141.h2.fair>
Co-authored-by: default avatarAleksandra Piktus <piktus@learnfair5102.h2.fair>
Co-authored-by: default avatarAleksandra Piktus <piktus@learnfair5067.h2.fair>
Co-authored-by: default avatarYour Name <you@example.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarQuentin Lhoest <lhoest.q@gmail.com>
      c754c41c
    • Minghao Li's avatar
      Add LayoutLM Model (#7064) · cd9a0585
      Minghao Li authored 
      

* first version

* finish test docs readme model/config/tokenization class

* apply make style and make quality

* fix layoutlm GitHub link

* fix conflict in index.rst and add layoutlm to pretrained_models.rst

* fix bug in test_parents_and_children_in_mappings

* reformat modeling_auto.py and tokenization_auto.py

* fix bug in test_modeling_layoutlm.py

* Update docs/source/model_doc/layoutlm.rst
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_doc/layoutlm.rst
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove inh, add tokenizer fast, and update some doc

* copy and rename necessary class from modeling_bert to modeling_layoutlm

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/configuration_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Update src/transformers/modeling_layoutlm.py
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* add mish to activations.py, import ACT2FN and import logging from utils
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>
      cd9a0585
  13. 17 Sep, 2020 1 commit
    • Stas Bekman's avatar
      [ported model] FSMT (FairSeq MachineTranslation) (#6940) · 1eeb206b
      Stas Bekman authored 
      * ready for PR

* cleanup

* correct FSMT_PRETRAINED_MODEL_ARCHIVE_LIST

* fix

* perfectionism

* revert change from another PR

* odd, already committed this one

* non-interactive upload workaround

* backup the failed experiment

* store langs in config

* workaround for localizing model path

* doc clean up as in https://github.com/huggingface/transformers/pull/6956



* style

* back out debug mode

* document: run_eval.py --num_beams 10

* remove unneeded constant

* typo

* re-use bart's Attention

* re-use EncoderLayer, DecoderLayer from bart

* refactor

* send to cuda and fp16

* cleanup

* revert (moved to another PR)

* better error message

* document run_eval --num_beams

* solve the problem of tokenizer finding the right files when model is local

* polish, remove hardcoded config

* add a note that the file is autogenerated to avoid losing changes

* prep for org change, remove unneeded code

* switch to model4.pt, update scores

* s/python/bash/

* missing init (but doesn't impact the finetuned model)

* cleanup

* major refactor (reuse-bart)

* new model, new expected weights

* cleanup

* cleanup

* full link

* fix model type

* merge porting notes

* style

* cleanup

* have to create a DecoderConfig object to handle vocab_size properly

* doc fix

* add note (not a public class)

* parametrize

* - add bleu scores integration tests

* skip test if sacrebleu is not installed

* cache heavy models/tokenizers

* some tweaks

* remove tokens that aren't used

* more purging

* simplify code

* switch to using decoder_start_token_id

* add doc

* Revert "major refactor (reuse-bart)"

This reverts commit 226dad15ca6a9ef4e26178526e878e8fc5c85874.

* decouple from bart

* remove unused code #1

* remove unused code #2

* remove unused code #3

* update instructions

* clean up

* move bleu eval to examples

* check import only once

* move data+gen script into files

* reuse via import

* take less space

* add prepare_seq2seq_batch (auto-tested)

* cleanup

* recode test to use json instead of yaml

* ignore keys not needed

* use the new -y in transformers-cli upload -y

* [xlm tok] config dict: fix str into int to match definition (#7034)

* [s2s] --eval_max_generate_length (#7018)

* Fix CI with change of name of nlp (#7054)

* nlp -> datasets

* More nlp -> datasets

* Woopsie

* More nlp -> datasets

* One last

* extending to support allen_nlp wmt models

- allow a specific checkpoint file to be passed
- more arg settings
- scripts for allen_nlp models

* sync with changes

* s/fsmt-wmt/wmt/ in model names

* s/fsmt-wmt/wmt/ in model names (p2)

* s/fsmt-wmt/wmt/ in model names (p3)

* switch to a better checkpoint

* typo

* make non-optional args such - adjust tests where possible or skip when there is no other choice

* consistency

* style

* adjust header

* cards moved (model rename)

* use best custom hparams

* update info

* remove old cards

* cleanup

* s/stas/facebook/

* update scores

* s/allen_nlp/allenai/

* url maps aren't needed

* typo

* move all the doc / build /eval generators to their own scripts

* cleanup

* Apply suggestions from code review
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* Apply suggestions from code review
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>

* fix indent

* duplicated line

* style

* use the correct add_start_docstrings

* oops

* resizing can't be done with the core approach, due to 2 dicts

* check that the arg is a list

* style

* style
Co-authored-by: default avatarSam Shleifer <sshleifer@gmail.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: default avatarLysandre Debut <lysandre@huggingface.co>
      1eeb206b
  15. 14 Sep, 2020 3 commits
  17. 10 Sep, 2020 4 commits
  19. 08 Sep, 2020 2 commits
  21. 03 Sep, 2020 1 commit
  23. 01 Sep, 2020 2 commits
  25. 24 Aug, 2020 2 commits
  27. 21 Aug, 2020 1 commit
  29. 18 Aug, 2020 2 commits
  31. 17 Aug, 2020 2 commits
  33. 14 Aug, 2020 1 commit
    • Suraj Patil's avatar
      MBartForConditionalGeneration (#6441) · 680f1337
      Suraj Patil authored 
      * add MBartForConditionalGeneration

* style

* rebase and fixes

* add mbart test in TEST_FILES_WITH_NO_COMMON_TESTS

* fix docs

* don't ignore mbart

* doc

* fix mbart fairseq link

* put mbart before bart

* apply doc suggestions
      680f1337
  35. 12 Aug, 2020 3 commits
  37. 11 Aug, 2020 2 commits
  39. 10 Aug, 2020 1 commit
  41. 07 Aug, 2020 1 commit
  43. 05 Aug, 2020 1 commit
    • Sylvain Gugger's avatar
      Tf model outputs (#6247) · c67d1a02
      Sylvain Gugger authored 
      * TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* TF outputs and test on BERT

* Albert to DistilBert

* All remaining TF models except T5

* Documentation

* One file forgotten

* Add new models and fix issues

* Quality improvements

* Add T5

* A bit of cleanup

* Fix for slow tests

* Style
      c67d1a02
  45. 03 Aug, 2020 1 commit
  47. 01 Aug, 2020 1 commit
  49. 30 Jul, 2020 1 commit
    • 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