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gsarti/
opus-mt-tc-big-en-de

Name: opus-mt-tc-big-en-de
Availability: InStock

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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 J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.

dataset: opusTCv20210807+bt
model: transformer-big
source language(s): eng
target language(s): deu
raw source language(s): eng
raw target language(s): deu
model: transformer-big
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download: opusTCv20210807+bt-2021-12-08.zip
test set translations: opusTCv20210807+bt-2021-12-08.test.txt
test set scores: opusTCv20210807+bt-2021-12-08.eval.txt

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

gsarti/opus-mt-tc-big-en-de

Opus Tatoeba English-German

Benchmarks

gsarti/
opus-mt-tc-big-en-de