pytorch rust marian seq2seq fr de 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-fr-de

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

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.fr 	| 26.4 	| 0.571 |
| newssyscomb2009.fr.de 	| 22.1 	| 0.524 |
| news-test2008.fr.de 	| 22.1 	| 0.524 |
| newstest2009.fr.de 	| 21.6 	| 0.520 |
| newstest2010.fr.de 	| 22.6 	| 0.527 |
| newstest2011.fr.de 	| 21.5 	| 0.518 |
| newstest2012.fr.de 	| 22.4 	| 0.516 |
| newstest2013.fr.de 	| 24.2 	| 0.532 |
| newstest2019-frde.fr.de 	| 27.9 	| 0.595 |
| Tatoeba.fr.de 	| 49.1 	| 0.676 |

