- 14 Nov, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/911 Differential Revision: D18511627 Pulled By: myleott fbshipit-source-id: 37d7606ae629f9acf84715dbc9045fb683075db4
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- 19 Aug, 2019 1 commit
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Myle Ott authored
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/835 Differential Revision: D16904038 Pulled By: myleott fbshipit-source-id: 2c9d0b913f8d688297ac80fcabd905bd1397f66a
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- 15 Aug, 2019 1 commit
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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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- 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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