Edit model card

Opus Tatoeba English-German

This model was obtained by running the script convert_marian_to_pytorch.py. The original models were trained by J�rg 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
Downloads last month
5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results