
### spa-eng

* source group: Spanish 
* target group: English 
*  OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md)

*  model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-spaeng.spa.eng 	| 30.6 	| 0.570 |
| news-test2008-spaeng.spa.eng 	| 27.9 	| 0.553 |
| newstest2009-spaeng.spa.eng 	| 30.4 	| 0.572 |
| newstest2010-spaeng.spa.eng 	| 36.1 	| 0.614 |
| newstest2011-spaeng.spa.eng 	| 34.2 	| 0.599 |
| newstest2012-spaeng.spa.eng 	| 37.9 	| 0.624 |
| newstest2013-spaeng.spa.eng 	| 35.3 	| 0.609 |
| Tatoeba-test.spa.eng 	| 59.6 	| 0.739 |


### System Info: 
- hf_name: spa-eng

- source_languages: spa

- target_languages: eng

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['es', 'en']

- src_constituents: {'spa'}

- tgt_constituents: {'eng'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt

- src_alpha3: spa

- tgt_alpha3: eng

- short_pair: es-en

- chrF2_score: 0.7390000000000001

- bleu: 59.6

- brevity_penalty: 0.9740000000000001

- ref_len: 79376.0

- src_name: Spanish

- tgt_name: English

- train_date: 2020-08-18 00:00:00

- src_alpha2: es

- tgt_alpha2: en

- prefer_old: False

- long_pair: spa-eng

- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82

- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9

- port_machine: brutasse

- port_time: 2020-08-24-18:20
{"language": ["es", "en"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation es en license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### spa-eng


* source group: Spanish
* target group: English
* OPUS readme: spa-eng
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 30.6, chr-F: 0.570
testset: URL, BLEU: 27.9, chr-F: 0.553
testset: URL, BLEU: 30.4, chr-F: 0.572
testset: URL, BLEU: 36.1, chr-F: 0.614
testset: URL, BLEU: 34.2, chr-F: 0.599
testset: URL, BLEU: 37.9, chr-F: 0.624
testset: URL, BLEU: 35.3, chr-F: 0.609
testset: URL, BLEU: 59.6, chr-F: 0.739


### System Info:


* hf\_name: spa-eng
* source\_languages: spa
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'en']
* src\_constituents: {'spa'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: eng
* short\_pair: es-en
* chrF2\_score: 0.7390000000000001
* bleu: 59.6
* brevity\_penalty: 0.9740000000000001
* ref\_len: 79376.0
* src\_name: Spanish
* tgt\_name: English
* train\_date: 2020-08-18 00:00:00
* src\_alpha2: es
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: spa-eng
* helsinki\_git\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
* transformers\_git\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
* port\_machine: brutasse
* port\_time: 2020-08-24-18:20



### spa-eng


* source group: Spanish
* target group: English
* OPUS readme: spa-eng
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 30.6, chr-F: 0.570
testset: URL, BLEU: 27.9, chr-F: 0.553
testset: URL, BLEU: 30.4, chr-F: 0.572
testset: URL, BLEU: 36.1, chr-F: 0.614
testset: URL, BLEU: 34.2, chr-F: 0.599
testset: URL, BLEU: 37.9, chr-F: 0.624
testset: URL, BLEU: 35.3, chr-F: 0.609
testset: URL, BLEU: 59.6, chr-F: 0.739 ### System Info:


* hf\_name: spa-eng
* source\_languages: spa
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'en']
* src\_constituents: {'spa'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: eng
* short\_pair: es-en
* chrF2\_score: 0.7390000000000001
* bleu: 59.6
* brevity\_penalty: 0.9740000000000001
* ref\_len: 79376.0
* src\_name: Spanish
* tgt\_name: English
* train\_date: 2020-08-18 00:00:00
* src\_alpha2: es
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: spa-eng
* helsinki\_git\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
* transformers\_git\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
* port\_machine: brutasse
* port\_time: 2020-08-24-18:20
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### spa-eng


* source group: Spanish
* target group: English
* OPUS readme: spa-eng
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 30.6, chr-F: 0.570
testset: URL, BLEU: 27.9, chr-F: 0.553
testset: URL, BLEU: 30.4, chr-F: 0.572
testset: URL, BLEU: 36.1, chr-F: 0.614
testset: URL, BLEU: 34.2, chr-F: 0.599
testset: URL, BLEU: 37.9, chr-F: 0.624
testset: URL, BLEU: 35.3, chr-F: 0.609
testset: URL, BLEU: 59.6, chr-F: 0.739 ### System Info:


* hf\_name: spa-eng
* source\_languages: spa
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['es', 'en']
* src\_constituents: {'spa'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: spa
* tgt\_alpha3: eng
* short\_pair: es-en
* chrF2\_score: 0.7390000000000001
* bleu: 59.6
* brevity\_penalty: 0.9740000000000001
* ref\_len: 79376.0
* src\_name: Spanish
* tgt\_name: English
* train\_date: 2020-08-18 00:00:00
* src\_alpha2: es
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: spa-eng
* helsinki\_git\_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
* transformers\_git\_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
* port\_machine: brutasse
* port\_time: 2020-08-24-18:20
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### spa-eng


* source group: Spanish
* target group: English
* OPUS readme: spa-eng
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 30.6, chr-F: 0.570
testset: URL, BLEU: 27.9, chr-F: 0.553
testset: URL, BLEU: 30.4, chr-F: 0.572
testset: URL, BLEU: 36.1, chr-F: 0.614
testset: URL, BLEU: 34.2, chr-F: 0.599
testset: URL, BLEU: 37.9, chr-F: 0.624
testset: URL, BLEU: 35.3, chr-F: 0.609
testset: URL, BLEU: 59.6, chr-F: 0.739