pytorch marian seq2seq de cs transformers translation text2text-generation
.gitattributes README.md config.json pytorch_model.bin source.spm target.spm tokenizer_config.json vocab.json
---
tags:
- translation
---

### opus-mt-de-cs

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.cs 	| 22.4 	| 0.499 |
| news-test2008.de.cs 	| 20.2 	| 0.487 |
| newstest2009.de.cs 	| 20.9 	| 0.485 |
| newstest2010.de.cs 	| 22.7 	| 0.510 |
| newstest2011.de.cs 	| 21.2 	| 0.487 |
| newstest2012.de.cs 	| 20.9 	| 0.479 |
| newstest2013.de.cs 	| 23.0 	| 0.500 |
| newstest2019-decs.de.cs 	| 22.5 	| 0.495 |
| Tatoeba.de.cs 	| 42.2 	| 0.625 |

