pytorch tf rust marian seq2seq en de transformers translation text2text-generation
.gitattributes README.md config.json pytorch_model.bin rust_model.ot source.spm target.spm tf_model.h5 tokenizer_config.json vocab.json
---
tags:
- translation
---

### opus-mt-en-de

* source languages: en
* target languages: de
*  OPUS readme: [en-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-de/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.de 	| 23.5 	| 0.540 |
| news-test2008.en.de 	| 23.5 	| 0.529 |
| newstest2009.en.de 	| 22.3 	| 0.530 |
| newstest2010.en.de 	| 24.9 	| 0.544 |
| newstest2011.en.de 	| 22.5 	| 0.524 |
| newstest2012.en.de 	| 23.0 	| 0.525 |
| newstest2013.en.de 	| 26.9 	| 0.553 |
| newstest2015-ende.en.de 	| 31.1 	| 0.594 |
| newstest2016-ende.en.de 	| 37.0 	| 0.636 |
| newstest2017-ende.en.de 	| 29.9 	| 0.586 |
| newstest2018-ende.en.de 	| 45.2 	| 0.690 |
| newstest2019-ende.en.de 	| 40.9 	| 0.654 |
| Tatoeba.en.de 	| 47.3 	| 0.664 |

