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silsever/opus-mt-align-en-de
opus-mt-align-en-de is a translation model from silsever. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as cc-by-4.0.
This model was obtained by running the script convertmariantopytorch.py - Instruction available here. The original models were trained by Jörg Tiedemann using the MarianNMT library. See all available MarianMTModel mod…
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From the Hugging Face model README
*This model was obtained by running the script convert_marian_to_pytorch.py - Instruction available here. 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.
This is the conversion of checkpoint opus+bt-2021-04-13.zip *
source language name: English
target language name: German
OPUS readme: README.md
model: transformer-align
source language code: en
target language code: de
dataset: opus+bt
release date: 2021-02-22
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus+bt-2021-04-13.zip
Test set translations data: opus+bt-2021-04-13.test.txt
test set scores file: opus+bt-2021-04-13.eval.txt
Benchmarks |Test set|BLEU|chr-F| |---|---|---| |newssyscomb2009.eng-deu|22.8|0.538| |news-test2008.eng-deu|23.7|0.533| |newstest2009.eng-deu|22.6|0.532| |newstest2010.eng-deu|25.5|0.552| |newstest2011.eng-deu|22.6|0.527| |newstest2012.eng-deu|23.4|0.530| |newstest2013.eng-deu|27.1|0.556| |newstest2014-deen.eng-deu|29.6|0.599| |newstest2015-ende.eng-deu|31.6|0.600| |newstest2016-ende.eng-deu|37.2|0.644| |newstest2017-ende.eng-deu|30.6|0.595| |newstest2018-ende.eng-deu|45.6|0.696| |newstest2019-ende.eng-deu|41.3|0.659| |Tatoeba-test.eng-deu|45.7|0.654|