
### art-eng

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

*  model: transformer
* source language(s): afh_Latn avk_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afh-eng.afh.eng 	| 1.2 	| 0.099 |
| Tatoeba-test.avk-eng.avk.eng 	| 0.4 	| 0.105 |
| Tatoeba-test.dws-eng.dws.eng 	| 1.6 	| 0.076 |
| Tatoeba-test.epo-eng.epo.eng 	| 34.6 	| 0.530 |
| Tatoeba-test.ido-eng.ido.eng 	| 12.7 	| 0.310 |
| Tatoeba-test.ile-eng.ile.eng 	| 4.6 	| 0.218 |
| Tatoeba-test.ina-eng.ina.eng 	| 5.8 	| 0.254 |
| Tatoeba-test.jbo-eng.jbo.eng 	| 0.2 	| 0.115 |
| Tatoeba-test.ldn-eng.ldn.eng 	| 0.7 	| 0.083 |
| Tatoeba-test.lfn-eng.lfn.eng 	| 1.8 	| 0.172 |
| Tatoeba-test.multi.eng 	| 11.6 	| 0.287 |
| Tatoeba-test.nov-eng.nov.eng 	| 5.1 	| 0.215 |
| Tatoeba-test.qya-eng.qya.eng 	| 0.7 	| 0.113 |
| Tatoeba-test.sjn-eng.sjn.eng 	| 0.9 	| 0.090 |
| Tatoeba-test.tlh-eng.tlh.eng 	| 0.2 	| 0.124 |
| Tatoeba-test.tzl-eng.tzl.eng 	| 1.4 	| 0.109 |
| Tatoeba-test.vol-eng.vol.eng 	| 0.5 	| 0.115 |


### System Info: 
- hf_name: art-eng

- source_languages: art

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['eo', 'io', 'art', 'en']

- src_constituents: {'sjn_Latn', 'tzl', 'vol_Latn', 'qya', 'tlh_Latn', 'ile_Latn', 'ido_Latn', 'tzl_Latn', 'jbo_Cyrl', 'jbo', 'lfn_Latn', 'nov_Latn', 'dws_Latn', 'ldn_Latn', 'avk_Latn', 'lfn_Cyrl', 'ina_Latn', 'jbo_Latn', 'epo', 'afh_Latn', 'qya_Latn', 'ido'}

- tgt_constituents: {'eng'}

- src_multilingual: True

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt

- src_alpha3: art

- tgt_alpha3: eng

- short_pair: art-en

- chrF2_score: 0.287

- bleu: 11.6

- brevity_penalty: 1.0

- ref_len: 73037.0

- src_name: Artificial languages

- tgt_name: English

- train_date: 2020-07-31

- src_alpha2: art

- tgt_alpha2: en

- prefer_old: False

- long_pair: art-eng

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### art-eng


* source group: Artificial languages
* target group: English
* OPUS readme: art-eng
* model: transformer
* source language(s): afh\_Latn avk\_Latn dws\_Latn epo ido ido\_Latn ile\_Latn ina\_Latn jbo jbo\_Cyrl jbo\_Latn ldn\_Latn lfn\_Cyrl lfn\_Latn nov\_Latn qya qya\_Latn sjn\_Latn tlh\_Latn tzl tzl\_Latn vol\_Latn
* 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: 1.2, chr-F: 0.099
testset: URL, BLEU: 0.4, chr-F: 0.105
testset: URL, BLEU: 1.6, chr-F: 0.076
testset: URL, BLEU: 34.6, chr-F: 0.530
testset: URL, BLEU: 12.7, chr-F: 0.310
testset: URL, BLEU: 4.6, chr-F: 0.218
testset: URL, BLEU: 5.8, chr-F: 0.254
testset: URL, BLEU: 0.2, chr-F: 0.115
testset: URL, BLEU: 0.7, chr-F: 0.083
testset: URL, BLEU: 1.8, chr-F: 0.172
testset: URL, BLEU: 11.6, chr-F: 0.287
testset: URL, BLEU: 5.1, chr-F: 0.215
testset: URL, BLEU: 0.7, chr-F: 0.113
testset: URL, BLEU: 0.9, chr-F: 0.090
testset: URL, BLEU: 0.2, chr-F: 0.124
testset: URL, BLEU: 1.4, chr-F: 0.109
testset: URL, BLEU: 0.5, chr-F: 0.115


### System Info:


* hf\_name: art-eng
* source\_languages: art
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['eo', 'io', 'art', 'en']
* src\_constituents: {'sjn\_Latn', 'tzl', 'vol\_Latn', 'qya', 'tlh\_Latn', 'ile\_Latn', 'ido\_Latn', 'tzl\_Latn', 'jbo\_Cyrl', 'jbo', 'lfn\_Latn', 'nov\_Latn', 'dws\_Latn', 'ldn\_Latn', 'avk\_Latn', 'lfn\_Cyrl', 'ina\_Latn', 'jbo\_Latn', 'epo', 'afh\_Latn', 'qya\_Latn', 'ido'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: art
* tgt\_alpha3: eng
* short\_pair: art-en
* chrF2\_score: 0.287
* bleu: 11.6
* brevity\_penalty: 1.0
* ref\_len: 73037.0
* src\_name: Artificial languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: art
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: art-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### art-eng


* source group: Artificial languages
* target group: English
* OPUS readme: art-eng
* model: transformer
* source language(s): afh\_Latn avk\_Latn dws\_Latn epo ido ido\_Latn ile\_Latn ina\_Latn jbo jbo\_Cyrl jbo\_Latn ldn\_Latn lfn\_Cyrl lfn\_Latn nov\_Latn qya qya\_Latn sjn\_Latn tlh\_Latn tzl tzl\_Latn vol\_Latn
* 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: 1.2, chr-F: 0.099
testset: URL, BLEU: 0.4, chr-F: 0.105
testset: URL, BLEU: 1.6, chr-F: 0.076
testset: URL, BLEU: 34.6, chr-F: 0.530
testset: URL, BLEU: 12.7, chr-F: 0.310
testset: URL, BLEU: 4.6, chr-F: 0.218
testset: URL, BLEU: 5.8, chr-F: 0.254
testset: URL, BLEU: 0.2, chr-F: 0.115
testset: URL, BLEU: 0.7, chr-F: 0.083
testset: URL, BLEU: 1.8, chr-F: 0.172
testset: URL, BLEU: 11.6, chr-F: 0.287
testset: URL, BLEU: 5.1, chr-F: 0.215
testset: URL, BLEU: 0.7, chr-F: 0.113
testset: URL, BLEU: 0.9, chr-F: 0.090
testset: URL, BLEU: 0.2, chr-F: 0.124
testset: URL, BLEU: 1.4, chr-F: 0.109
testset: URL, BLEU: 0.5, chr-F: 0.115 ### System Info:


* hf\_name: art-eng
* source\_languages: art
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['eo', 'io', 'art', 'en']
* src\_constituents: {'sjn\_Latn', 'tzl', 'vol\_Latn', 'qya', 'tlh\_Latn', 'ile\_Latn', 'ido\_Latn', 'tzl\_Latn', 'jbo\_Cyrl', 'jbo', 'lfn\_Latn', 'nov\_Latn', 'dws\_Latn', 'ldn\_Latn', 'avk\_Latn', 'lfn\_Cyrl', 'ina\_Latn', 'jbo\_Latn', 'epo', 'afh\_Latn', 'qya\_Latn', 'ido'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: art
* tgt\_alpha3: eng
* short\_pair: art-en
* chrF2\_score: 0.287
* bleu: 11.6
* brevity\_penalty: 1.0
* ref\_len: 73037.0
* src\_name: Artificial languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: art
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: art-eng
* 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 #eo #io #art #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### art-eng


* source group: Artificial languages
* target group: English
* OPUS readme: art-eng
* model: transformer
* source language(s): afh\_Latn avk\_Latn dws\_Latn epo ido ido\_Latn ile\_Latn ina\_Latn jbo jbo\_Cyrl jbo\_Latn ldn\_Latn lfn\_Cyrl lfn\_Latn nov\_Latn qya qya\_Latn sjn\_Latn tlh\_Latn tzl tzl\_Latn vol\_Latn
* 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: 1.2, chr-F: 0.099
testset: URL, BLEU: 0.4, chr-F: 0.105
testset: URL, BLEU: 1.6, chr-F: 0.076
testset: URL, BLEU: 34.6, chr-F: 0.530
testset: URL, BLEU: 12.7, chr-F: 0.310
testset: URL, BLEU: 4.6, chr-F: 0.218
testset: URL, BLEU: 5.8, chr-F: 0.254
testset: URL, BLEU: 0.2, chr-F: 0.115
testset: URL, BLEU: 0.7, chr-F: 0.083
testset: URL, BLEU: 1.8, chr-F: 0.172
testset: URL, BLEU: 11.6, chr-F: 0.287
testset: URL, BLEU: 5.1, chr-F: 0.215
testset: URL, BLEU: 0.7, chr-F: 0.113
testset: URL, BLEU: 0.9, chr-F: 0.090
testset: URL, BLEU: 0.2, chr-F: 0.124
testset: URL, BLEU: 1.4, chr-F: 0.109
testset: URL, BLEU: 0.5, chr-F: 0.115 ### System Info:


* hf\_name: art-eng
* source\_languages: art
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['eo', 'io', 'art', 'en']
* src\_constituents: {'sjn\_Latn', 'tzl', 'vol\_Latn', 'qya', 'tlh\_Latn', 'ile\_Latn', 'ido\_Latn', 'tzl\_Latn', 'jbo\_Cyrl', 'jbo', 'lfn\_Latn', 'nov\_Latn', 'dws\_Latn', 'ldn\_Latn', 'avk\_Latn', 'lfn\_Cyrl', 'ina\_Latn', 'jbo\_Latn', 'epo', 'afh\_Latn', 'qya\_Latn', 'ido'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: art
* tgt\_alpha3: eng
* short\_pair: art-en
* chrF2\_score: 0.287
* bleu: 11.6
* brevity\_penalty: 1.0
* ref\_len: 73037.0
* src\_name: Artificial languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: art
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: art-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #eo #io #art #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 passage: ### art-eng


* source group: Artificial languages
* target group: English
* OPUS readme: art-eng
* model: transformer
* source language(s): afh\_Latn avk\_Latn dws\_Latn epo ido ido\_Latn ile\_Latn ina\_Latn jbo jbo\_Cyrl jbo\_Latn ldn\_Latn lfn\_Cyrl lfn\_Latn nov\_Latn qya qya\_Latn sjn\_Latn tlh\_Latn tzl tzl\_Latn vol\_Latn
* 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: 1.2, chr-F: 0.099
testset: URL, BLEU: 0.4, chr-F: 0.105
testset: URL, BLEU: 1.6, chr-F: 0.076
testset: URL, BLEU: 34.6, chr-F: 0.530
testset: URL, BLEU: 12.7, chr-F: 0.310
testset: URL, BLEU: 4.6, chr-F: 0.218
testset: URL, BLEU: 5.8, chr-F: 0.254
testset: URL, BLEU: 0.2, chr-F: 0.115
testset: URL, BLEU: 0.7, chr-F: 0.083
testset: URL, BLEU: 1.8, chr-F: 0.172
testset: URL, BLEU: 11.6, chr-F: 0.287
testset: URL, BLEU: 5.1, chr-F: 0.215
testset: URL, BLEU: 0.7, chr-F: 0.113
testset: URL, BLEU: 0.9, chr-F: 0.090
testset: URL, BLEU: 0.2, chr-F: 0.124
testset: URL, BLEU: 1.4, chr-F: 0.109
testset: URL, BLEU: 0.5, chr-F: 0.115