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--- |
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language: |
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- en |
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- de |
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tags: |
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- translation |
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- opus-mt |
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license: cc-by-4.0 |
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model-index: |
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- name: opus-mt-tc-big-eng-deu |
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results: |
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- task: |
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name: Translation eng-deu |
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type: translation |
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args: eng-deu |
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dataset: |
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name: Tatoeba-test.eng-deu |
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type: tatoeba_mt |
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args: eng-deu |
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metrics: |
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- name: BLEU |
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type: bleu |
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value: 45.7 |
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--- |
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# Opus Tatoeba English-German |
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*This model was obtained by running the script [convert_marian_to_pytorch.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/marian/convert_marian_to_pytorch.py) - [Instruction available here](https://github.com/huggingface/transformers/tree/main/scripts/tatoeba). The original models were trained by [Jörg Tiedemann](https://blogs.helsinki.fi/tiedeman/) using the [MarianNMT](https://marian-nmt.github.io/) library. See all available `MarianMTModel` models on the profile of the [Helsinki NLP](https://huggingface.co/Helsinki-NLP) group. |
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This is the conversion of checkpoint [opus+bt-2021-04-13.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opus+bt-2021-04-13.zip) |
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* |
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--- |
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### eng-deu |
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* source language name: English |
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* target language name: German |
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* OPUS readme: [README.md](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/README.md) |
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* model: transformer-align |
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* source language code: en |
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* target language code: de |
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* dataset: opus+bt |
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* release date: 2021-02-22 |
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* pre-processing: normalization + SentencePiece (spm32k,spm32k) |
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* download original weights: [opus+bt-2021-04-13.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opus+bt-2021-04-13.zip) |
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* Test set translations data: [opus+bt-2021-04-13.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opus+bt-2021-04-13.test.txt) |
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* test set scores file: [opus+bt-2021-04-13.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-deu/opus+bt-2021-04-13.eval.txt) |
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* Benchmarks |
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|Test set|BLEU|chr-F| |
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|---|---|---| |
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|newssyscomb2009.eng-deu|22.8|0.538| |
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|news-test2008.eng-deu|23.7|0.533| |
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|newstest2009.eng-deu|22.6|0.532| |
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|newstest2010.eng-deu|25.5|0.552| |
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|newstest2011.eng-deu|22.6|0.527| |
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|newstest2012.eng-deu|23.4|0.530| |
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|newstest2013.eng-deu|27.1|0.556| |
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|newstest2014-deen.eng-deu|29.6|0.599| |
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|newstest2015-ende.eng-deu|31.6|0.600| |
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|newstest2016-ende.eng-deu|37.2|0.644| |
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|newstest2017-ende.eng-deu|30.6|0.595| |
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|newstest2018-ende.eng-deu|45.6|0.696| |
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|newstest2019-ende.eng-deu|41.3|0.659| |
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|Tatoeba-test.eng-deu|45.7|0.654| |
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