pytorch / fairseq

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How the Repository is Evaluated

The full sotabench.py file - source
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Use release version of sotabench
mkardas   37ae3e0  ·  Oct 09 2019
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Add two models and fix target langauge
mkardas   e24c870  ·  Oct 08 2019
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Remove a model with broken link
mkardas   f49bc9a  ·  Oct 08 2019
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Add more models
mkardas   58fd84d  ·  Oct 08 2019
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Add more models
mkardas   0658e71  ·  Oct 08 2019
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Use all wmt18.en-de models for ensemble
mkardas   e1992e2  ·  Oct 08 2019
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Use dev. version of sotabench-api
mkardas 7ce7093    12253ca  ·  Oct 08 2019
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Add descriptions to models * close tqdm iterator when cache exi…
mkardas   e39c4d4  ·  Oct 07 2019
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Add a back-translation model to sotabench
mkardas   31072fc  ·  Oct 06 2019
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Add more models
mkardas   6aa4fa6  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   07a34c2  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   16b127f  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   abe212f  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   41dfd3c  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   8c7083e  ·  Oct 06 2019
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Decrease batch size for transformers
mkardas   ac7f415  ·  Oct 06 2019
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Batch sentences for sotabench evaluation
mkardas   065b955  ·  Oct 06 2019
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Increase beam
mkardas   33828fe  ·  Oct 05 2019
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Enable en-de ensemble
mkardas   230b162  ·  Oct 05 2019
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Use release version of sotabench
mkardas   62a81cf  ·  Oct 04 2019
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Don't benchmark ensembles
mkardas   ed63323  ·  Oct 04 2019
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# 5
Add models and datasets to sotabench
mkardas   7a3c8bd  ·  Oct 04 2019
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Test ensemble of models
mkardas   8899fd4  ·  Oct 04 2019
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