
### 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 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf rust marian text2text-generation translation fr de license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-fr-de


* source languages: fr
* target languages: de
* OPUS readme: fr-de
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: euelections\_dev2019.URL, BLEU: 26.4, chr-F: 0.571
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 21.6, chr-F: 0.520
testset: URL, BLEU: 22.6, chr-F: 0.527
testset: URL, BLEU: 21.5, chr-F: 0.518
testset: URL, BLEU: 22.4, chr-F: 0.516
testset: URL, BLEU: 24.2, chr-F: 0.532
testset: URL, BLEU: 27.9, chr-F: 0.595
testset: URL, BLEU: 49.1, chr-F: 0.676



### opus-mt-fr-de


* source languages: fr
* target languages: de
* OPUS readme: fr-de
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: euelections\_dev2019.URL, BLEU: 26.4, chr-F: 0.571
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 21.6, chr-F: 0.520
testset: URL, BLEU: 22.6, chr-F: 0.527
testset: URL, BLEU: 21.5, chr-F: 0.518
testset: URL, BLEU: 22.4, chr-F: 0.516
testset: URL, BLEU: 24.2, chr-F: 0.532
testset: URL, BLEU: 27.9, chr-F: 0.595
testset: URL, BLEU: 49.1, chr-F: 0.676
TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-fr-de


* source languages: fr
* target languages: de
* OPUS readme: fr-de
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: euelections\_dev2019.URL, BLEU: 26.4, chr-F: 0.571
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 21.6, chr-F: 0.520
testset: URL, BLEU: 22.6, chr-F: 0.527
testset: URL, BLEU: 21.5, chr-F: 0.518
testset: URL, BLEU: 22.4, chr-F: 0.516
testset: URL, BLEU: 24.2, chr-F: 0.532
testset: URL, BLEU: 27.9, chr-F: 0.595
testset: URL, BLEU: 49.1, chr-F: 0.676
passage: TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-fr-de


* source languages: fr
* target languages: de
* OPUS readme: fr-de
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: euelections\_dev2019.URL, BLEU: 26.4, chr-F: 0.571
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 21.6, chr-F: 0.520
testset: URL, BLEU: 22.6, chr-F: 0.527
testset: URL, BLEU: 21.5, chr-F: 0.518
testset: URL, BLEU: 22.4, chr-F: 0.516
testset: URL, BLEU: 24.2, chr-F: 0.532
testset: URL, BLEU: 27.9, chr-F: 0.595
testset: URL, BLEU: 49.1, chr-F: 0.676