pytorch rust marian seq2seq de fr 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-de-fr

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.de 	| 32.2 	| 0.590 |
| newssyscomb2009.de.fr 	| 26.8 	| 0.553 |
| news-test2008.de.fr 	| 26.4 	| 0.548 |
| newstest2009.de.fr 	| 25.6 	| 0.539 |
| newstest2010.de.fr 	| 29.1 	| 0.572 |
| newstest2011.de.fr 	| 26.9 	| 0.551 |
| newstest2012.de.fr 	| 27.7 	| 0.554 |
| newstest2013.de.fr 	| 29.5 	| 0.560 |
| newstest2019-defr.de.fr 	| 36.6 	| 0.625 |
| Tatoeba.de.fr 	| 49.2 	| 0.664 |

