
### eng-aze

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

*  model: transformer-align
* source language(s): eng
* target language(s): aze_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.aze 	| 18.6 	| 0.477 |


### System Info: 
- hf_name: eng-aze

- source_languages: eng

- target_languages: aze

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'aze_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt

- src_alpha3: eng

- tgt_alpha3: aze

- short_pair: en-az

- chrF2_score: 0.47700000000000004

- bleu: 18.6

- brevity_penalty: 1.0

- ref_len: 13012.0

- src_name: English

- tgt_name: Azerbaijani

- train_date: 2020-06-16

- src_alpha2: en

- tgt_alpha2: az

- prefer_old: False

- long_pair: eng-aze

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["en", "az"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation en az license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### eng-aze


* source group: English
* target group: Azerbaijani
* OPUS readme: eng-aze
* model: transformer-align
* source language(s): eng
* target language(s): aze\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 18.6, chr-F: 0.477


### System Info:


* hf\_name: eng-aze
* source\_languages: eng
* target\_languages: aze
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'az']
* src\_constituents: {'eng'}
* tgt\_constituents: {'aze\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: aze
* short\_pair: en-az
* chrF2\_score: 0.47700000000000004
* bleu: 18.6
* brevity\_penalty: 1.0
* ref\_len: 13012.0
* src\_name: English
* tgt\_name: Azerbaijani
* train\_date: 2020-06-16
* src\_alpha2: en
* tgt\_alpha2: az
* prefer\_old: False
* long\_pair: eng-aze
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-aze


* source group: English
* target group: Azerbaijani
* OPUS readme: eng-aze
* model: transformer-align
* source language(s): eng
* target language(s): aze\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 18.6, chr-F: 0.477 ### System Info:


* hf\_name: eng-aze
* source\_languages: eng
* target\_languages: aze
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'az']
* src\_constituents: {'eng'}
* tgt\_constituents: {'aze\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: aze
* short\_pair: en-az
* chrF2\_score: 0.47700000000000004
* bleu: 18.6
* brevity\_penalty: 1.0
* ref\_len: 13012.0
* src\_name: English
* tgt\_name: Azerbaijani
* train\_date: 2020-06-16
* src\_alpha2: en
* tgt\_alpha2: az
* prefer\_old: False
* long\_pair: eng-aze
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-aze


* source group: English
* target group: Azerbaijani
* OPUS readme: eng-aze
* model: transformer-align
* source language(s): eng
* target language(s): aze\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 18.6, chr-F: 0.477 ### System Info:


* hf\_name: eng-aze
* source\_languages: eng
* target\_languages: aze
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'az']
* src\_constituents: {'eng'}
* tgt\_constituents: {'aze\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: aze
* short\_pair: en-az
* chrF2\_score: 0.47700000000000004
* bleu: 18.6
* brevity\_penalty: 1.0
* ref\_len: 13012.0
* src\_name: English
* tgt\_name: Azerbaijani
* train\_date: 2020-06-16
* src\_alpha2: en
* tgt\_alpha2: az
* prefer\_old: False
* long\_pair: eng-aze
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #az #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-aze


* source group: English
* target group: Azerbaijani
* OPUS readme: eng-aze
* model: transformer-align
* source language(s): eng
* target language(s): aze\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 18.6, chr-F: 0.477### System Info:


* hf\_name: eng-aze
* source\_languages: eng
* target\_languages: aze
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'az']
* src\_constituents: {'eng'}
* tgt\_constituents: {'aze\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: aze
* short\_pair: en-az
* chrF2\_score: 0.47700000000000004
* bleu: 18.6
* brevity\_penalty: 1.0
* ref\_len: 13012.0
* src\_name: English
* tgt\_name: Azerbaijani
* train\_date: 2020-06-16
* src\_alpha2: en
* tgt\_alpha2: az
* prefer\_old: False
* long\_pair: eng-aze
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41