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Opus Tatoeba English-German

This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by Jörg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.

Benchmarks

testset BLEU chr-F #sent #words BP
newssyscomb2009.eng-deu 24.3 0.5462 502 11271 0.993
news-test2008.eng-deu 24.7 0.5412 2051 47427 1.000
newstest2009.eng-deu 23.6 0.5385 2525 62816 0.999
newstest2010.eng-deu 26.9 0.5589 2489 61511 0.966
newstest2011.eng-deu 24.1 0.5364 3003 72981 0.990
newstest2012.eng-deu 24.6 0.5375 3003 72886 0.972
newstest2013.eng-deu 28.3 0.5636 3000 63737 0.988
newstest2014-deen.eng-deu 30.9 0.6084 3003 62964 1.000
newstest2015-ende.eng-deu 33.2 0.6106 2169 44260 1.000
newstest2016-ende.eng-deu 39.8 0.6595 2999 62670 0.993
newstest2017-ende.eng-deu 32.0 0.6047 3004 61291 1.000
newstest2018-ende.eng-deu 48.8 0.7146 2998 64276 1.000
newstest2019-ende.eng-deu 45.0 0.6821 1997 48969 0.995
Tatoeba-test-v2021-08-07.eng-deu 43.7 0.6442 10000 85728 1.000
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Evaluation results