
### eng-bul

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

*  model: transformer
* source language(s): eng
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.bul 	| 50.6 	| 0.680 |


### System Info: 
- hf_name: eng-bul

- source_languages: eng

- target_languages: bul

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'bul', 'bul_Latn'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt

- src_alpha3: eng

- tgt_alpha3: bul

- short_pair: en-bg

- chrF2_score: 0.68

- bleu: 50.6

- brevity_penalty: 0.96

- ref_len: 69504.0

- src_name: English

- tgt_name: Bulgarian

- train_date: 2020-07-03

- src_alpha2: en

- tgt_alpha2: bg

- prefer_old: False

- long_pair: eng-bul

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-bul


* source group: English
* target group: Bulgarian
* OPUS readme: eng-bul
* model: transformer
* source language(s): eng
* target language(s): bul bul\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 50.6, chr-F: 0.680


### System Info:


* hf\_name: eng-bul
* source\_languages: eng
* target\_languages: bul
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'bg']
* src\_constituents: {'eng'}
* tgt\_constituents: {'bul', 'bul\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bul
* short\_pair: en-bg
* chrF2\_score: 0.68
* bleu: 50.6
* brevity\_penalty: 0.96
* ref\_len: 69504.0
* src\_name: English
* tgt\_name: Bulgarian
* train\_date: 2020-07-03
* src\_alpha2: en
* tgt\_alpha2: bg
* prefer\_old: False
* long\_pair: eng-bul
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-bul


* source group: English
* target group: Bulgarian
* OPUS readme: eng-bul
* model: transformer
* source language(s): eng
* target language(s): bul bul\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 50.6, chr-F: 0.680 ### System Info:


* hf\_name: eng-bul
* source\_languages: eng
* target\_languages: bul
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'bg']
* src\_constituents: {'eng'}
* tgt\_constituents: {'bul', 'bul\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bul
* short\_pair: en-bg
* chrF2\_score: 0.68
* bleu: 50.6
* brevity\_penalty: 0.96
* ref\_len: 69504.0
* src\_name: English
* tgt\_name: Bulgarian
* train\_date: 2020-07-03
* src\_alpha2: en
* tgt\_alpha2: bg
* prefer\_old: False
* long\_pair: eng-bul
* 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 #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-bul


* source group: English
* target group: Bulgarian
* OPUS readme: eng-bul
* model: transformer
* source language(s): eng
* target language(s): bul bul\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 50.6, chr-F: 0.680 ### System Info:


* hf\_name: eng-bul
* source\_languages: eng
* target\_languages: bul
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'bg']
* src\_constituents: {'eng'}
* tgt\_constituents: {'bul', 'bul\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bul
* short\_pair: en-bg
* chrF2\_score: 0.68
* bleu: 50.6
* brevity\_penalty: 0.96
* ref\_len: 69504.0
* src\_name: English
* tgt\_name: Bulgarian
* train\_date: 2020-07-03
* src\_alpha2: en
* tgt\_alpha2: bg
* prefer\_old: False
* long\_pair: eng-bul
* 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 #en #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-bul


* source group: English
* target group: Bulgarian
* OPUS readme: eng-bul
* model: transformer
* source language(s): eng
* target language(s): bul bul\_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 50.6, chr-F: 0.680