- 15 Aug, 2019 2 commits
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/826 Differential Revision: D16830402 Pulled By: myleott fbshipit-source-id: 25afaa6d9de7b51cc884e3f417c8e6b349f5a7bc
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ngoyal2707 authored
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
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- 14 Aug, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/823 Differential Revision: D16804995 Pulled By: myleott fbshipit-source-id: abac5dc0ed6b7bfe2309ba273456e54b37340b2c
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- 13 Aug, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1014 Differential Revision: D16784120 Pulled By: myleott fbshipit-source-id: 946c0e33b594f8378e4ab6482ce49efcb36e1743
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- 10 Aug, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/1004 Differential Revision: D16751443 Pulled By: myleott fbshipit-source-id: f70acd6c7be6d69da45b5b32fe4c4eff021539ab
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- 09 Aug, 2019 1 commit
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Naman Goyal authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/815 Differential Revision: D16733633 fbshipit-source-id: 0a5029e41b6dbb9fb28e9703ad057d939d489d90
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- 07 Aug, 2019 2 commits
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Naman Goyal authored
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
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/805 Differential Revision: D16670825 Pulled By: myleott fbshipit-source-id: 872a1a0274681a34d54bda00bfcfcda2e94144c6
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- 02 Aug, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/795 Differential Revision: D16620488 Pulled By: myleott fbshipit-source-id: 1998a9ccd8816fc7f590861fb4898f910a36bc1e
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- 31 Jul, 2019 1 commit
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ngoyal2707 authored
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
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- 30 Jul, 2019 1 commit
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Myle Ott authored
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
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- 29 Jul, 2019 3 commits
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Naman Goyal authored
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
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/921 Differential Revision: D16541025 Pulled By: myleott fbshipit-source-id: bb78d30fe285da2adfc7c4e5897ee01fa413b2e4
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/916 Differential Revision: D16537774 Pulled By: myleott fbshipit-source-id: 86bb7b1913a428ee4a21674cc3fc7b39264067ec
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- 27 Jul, 2019 2 commits
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/pytorch/fairseq/pull/909 Differential Revision: D16532919 Pulled By: myleott fbshipit-source-id: 16ce884cf3d84579026e4406a75ba3c01a128dbd
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/778 Differential Revision: D16525447 Pulled By: myleott fbshipit-source-id: e721e3a10e243a2408a04f89f06b5adbbe2fdff2
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