Commits · 2eb53b8ef1c9f5033c669f4ebec41106a29368f9 · OpenDAS / Fairseq

19 Aug, 2019 1 commit

Add instructions to resume training from released RoBERTa models (fixes #1034) · 2eb53b8e

Myle Ott authored Aug 19, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1041

Differential Revision: D16904073

Pulled By: myleott

fbshipit-source-id: 22e5e25a15f7a0b6f2d827d98c953a6cec07610e

2eb53b8e

15 Aug, 2019 3 commits

Update README · a8e32111

Myle Ott authored Aug 15, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/827

Differential Revision: D16833252

Pulled By: myleott

fbshipit-source-id: 8eded8cc651002dfd60869fc2383d305ed335d3a

a8e32111

Update README · ac66df47

Myle Ott authored Aug 15, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/826

Differential Revision: D16830402

Pulled By: myleott

fbshipit-source-id: 25afaa6d9de7b51cc884e3f417c8e6b349f5a7bc

ac66df47

added effcient wsc task/criterion for winogrande (#825) · 1d44cc85

ngoyal2707 authored Aug 15, 2019

Summary:
1) So far getting `78%`  on winogrande validation dataset comapred to `63.5%` in the paper.
2) Will upgrade readme once everything is finalized.

Questions:

1) Should I just call `binary_wsc_task` instead of `winogrande` to be less specific to dataset and be generic?
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/825

Differential Revision: D16810159

fbshipit-source-id: cfde73561fa4caaaa63a4773c0aecd12ce1fa518

1d44cc85

14 Aug, 2019 1 commit

Update READMEs · b8704686

Myle Ott authored Aug 14, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/823

Differential Revision: D16804995

Pulled By: myleott

fbshipit-source-id: abac5dc0ed6b7bfe2309ba273456e54b37340b2c

b8704686

13 Aug, 2019 2 commits

Add Commonsense QA task · a33ac060

Myle Ott authored Aug 13, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1014

Differential Revision: D16784120

Pulled By: myleott

fbshipit-source-id: 946c0e33b594f8378e4ab6482ce49efcb36e1743

a33ac060

added readme code for inference with GLUE finetuned model · a171c2dd

Naman Goyal authored Aug 13, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/820

Differential Revision: D16783469

fbshipit-source-id: d5af8ba6a6685608d67b72d584952b8e43eabf9f

a171c2dd

12 Aug, 2019 1 commit

Minor fixes for RACE finetuning (#818) · d0036640

Myle Ott authored Aug 12, 2019

Summary:
- remove unnecessary extra spaces in RACE data in preprocessing
- fix finetuning instructions (add `--truncate-sequence` and add `--dropout` params)
- close file handle in SentenceRankingTask
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/818

Differential Revision: D16770055

Pulled By: myleott

fbshipit-source-id: 2c80084e92cdf8692f2ea7e43f7c344c402b9e61

d0036640

10 Aug, 2019 1 commit

Add WSC task and criterion · 83249196

Myle Ott authored Aug 10, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1004

Differential Revision: D16751443

Pulled By: myleott

fbshipit-source-id: f70acd6c7be6d69da45b5b32fe4c4eff021539ab

83249196

09 Aug, 2019 2 commits

added sentence ranking task and loss (#809) · b6c55b62

Jingfei Du authored Aug 09, 2019

Summary:
This task and loss are used for sentence ranking and multiple choice tasks such as RACE
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/809

Reviewed By: myleott

Differential Revision: D16715745

Pulled By: jingfeidu

fbshipit-source-id: cb4d1c7b26ebb3e2382449ba51af5745ef56f30f

b6c55b62

added superglue dev set results to readme · 3563e59a

Naman Goyal authored Aug 09, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/815

Differential Revision: D16733633

fbshipit-source-id: 0a5029e41b6dbb9fb28e9703ad057d939d489d90

3563e59a

08 Aug, 2019 1 commit

replace 'mkdir' with 'mkdir -p' (#997) · 6398aa9e

Hafiz Shafruddin authored Aug 08, 2019

Summary:
Allow shell script to create sub directories with -p flag. Amends readme file too.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/997

Differential Revision: D16710813

Pulled By: myleott

fbshipit-source-id: 89abefa27e8fac99d212fc9b7b0dbc3690043ba0

6398aa9e

07 Aug, 2019 2 commits

Added mask_fill api and some examples in README (#807) · a9eda736

Naman Goyal authored Aug 07, 2019

Summary:
1) This currently works only for single `<mask>` token as multi mask, we might have to look more into order of factorization.
2) This is currently only for single BPE token
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/807

Differential Revision: D16674509

fbshipit-source-id: 0a020030ee5df6a5115e5f85d5a9ef52b1ad9e1c

a9eda736

Add code to realign RoBERTa features to word-level tokenizers · 2b7843da

Myle Ott authored Aug 07, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/805

Differential Revision: D16670825

Pulled By: myleott

fbshipit-source-id: 872a1a0274681a34d54bda00bfcfcda2e94144c6

2b7843da

05 Aug, 2019 1 commit

fixed roberta finetuning with --find-unused-parameters on multiGPU · 5d543f9b

Naman Goyal authored Aug 05, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/806

Differential Revision: D16649933

fbshipit-source-id: 6eeda6e2caf8019228e3efc0c27ddfcc3c4d8674

5d543f9b

02 Aug, 2019 1 commit

Update READMEs for torch.hub · abb7ed4c

Myle Ott authored Aug 02, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/795

Differential Revision: D16620488

Pulled By: myleott

fbshipit-source-id: 1998a9ccd8816fc7f590861fb4898f910a36bc1e

abb7ed4c

01 Aug, 2019 1 commit

Add more details for bulk BPE encoding · 45f23f66

Myle Ott authored Aug 01, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/793

Differential Revision: D16603930

Pulled By: myleott

fbshipit-source-id: b302db3743db4f36c14fb0dc7f3456fe8a0079dd

45f23f66

31 Jul, 2019 2 commits

Roberta add classification finetuning example readme (#790) · fe8a1639

ngoyal2707 authored Jul 31, 2019

Summary:
Added readme for IMDB classification as tutorial for custm finetuning of roberta
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/790

Reviewed By: myleott

Differential Revision: D16587877

Pulled By: myleott

fbshipit-source-id: ed265b7254e6fa2fc8a899ba04c0d2bb45a7f5c4

fe8a1639

Use commandline interface in preprocess_GLUE_tasks.sh (#937) · 37eb9f2b

Johannes Villmow authored Jul 31, 2019

Summary:
Just a small fix for issue https://github.com/pytorch/fairseq/issues/936 .
Pull Request resolved: https://github.com/pytorch/fairseq/pull/937

Differential Revision: D16580263

Pulled By: myleott

fbshipit-source-id: 1777e782491c63697726e95bd555892da3fed4ec

37eb9f2b

30 Jul, 2019 2 commits

Add roberta.decode to hub interface to decode BPE (#931) · d82517e9

Myle Ott authored Jul 30, 2019

Summary:
Fixes https://github.com/pytorch/fairseq/issues/930.
Pull Request resolved: https://github.com/pytorch/fairseq/pull/931

Differential Revision: D16562511

Pulled By: myleott

fbshipit-source-id: c4c07e2f067326b79daa547dcb3db84aeddbd555

d82517e9

Relicense fairseq under MIT license (#786) · e75cff5f

Myle Ott authored Jul 30, 2019

Summary:
The previous BSD+PATENTS license was controversial. We have been
approved to relicense fairseq under the MIT license.
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/786

Differential Revision: D16560654

Pulled By: myleott

fbshipit-source-id: f78b1beb4f2895dd7b9bfc79f5f952a2bfb94034

e75cff5f

29 Jul, 2019 3 commits

adding glue data preprocessing scripts (#771) · 138dc8e4

Naman Goyal authored Jul 29, 2019

Summary:
1) Added glue data pre-processing script.
2) updated README with usage.

TODO:
1) releasing fairseq dictionary and remove hardcoded path.
2) remove hard-coded path for bpe-encoding,

myleott what do you recommend for above TODOs?
Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/771

Reviewed By: myleott

Differential Revision: D16547679

Pulled By: myleott

fbshipit-source-id: 6a6562d9b6215523d048fdf3daee63ffac21e231

138dc8e4

Add instructions to load RoBERTa models on PyTorch 1.0 · ce7f044b

Myle Ott authored Jul 29, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/921

Differential Revision: D16541025

Pulled By: myleott

fbshipit-source-id: bb78d30fe285da2adfc7c4e5897ee01fa413b2e4

ce7f044b

Add RoBERTa · 8d036c2f

Myle Ott authored Jul 28, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/916

Differential Revision: D16537774

Pulled By: myleott

fbshipit-source-id: 86bb7b1913a428ee4a21674cc3fc7b39264067ec

8d036c2f

27 Jul, 2019 2 commits

Add return_all_hiddens flag to hub interface · 40f16872

Myle Ott authored Jul 27, 2019

Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/909

Differential Revision: D16532919

Pulled By: myleott

fbshipit-source-id: 16ce884cf3d84579026e4406a75ba3c01a128dbd

40f16872

Add RoBERTa README · 17fcc72a

Myle Ott authored Jul 26, 2019

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/778

Differential Revision: D16525447

Pulled By: myleott

fbshipit-source-id: e721e3a10e243a2408a04f89f06b5adbbe2fdff2

17fcc72a