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

### opus-mt-en-ru

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.en.ru 	| 31.1 	| 0.581 |
| newstest2013.en.ru 	| 23.5 	| 0.513 |
| newstest2015-enru.en.ru 	| 27.5 	| 0.564 |
| newstest2016-enru.en.ru 	| 26.4 	| 0.548 |
| newstest2017-enru.en.ru 	| 29.1 	| 0.572 |
| newstest2018-enru.en.ru 	| 25.4 	| 0.554 |
| newstest2019-enru.en.ru 	| 27.1 	| 0.533 |
| Tatoeba.en.ru 	| 48.4 	| 0.669 |

