
### eng-bat

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

*  model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg_Latn sgs
* 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-englav.eng.lav 	| 24.0 	| 0.546 |
| newsdev2019-enlt-englit.eng.lit 	| 20.9 	| 0.533 |
| newstest2017-enlv-englav.eng.lav 	| 18.3 	| 0.506 |
| newstest2019-enlt-englit.eng.lit 	| 13.6 	| 0.466 |
| Tatoeba-test.eng-lav.eng.lav 	| 42.8 	| 0.652 |
| Tatoeba-test.eng-lit.eng.lit 	| 37.1 	| 0.650 |
| Tatoeba-test.eng.multi 	| 37.0 	| 0.616 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.5 	| 0.130 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 4.1 	| 0.178 |


### System Info: 
- hf_name: eng-bat

- source_languages: eng

- target_languages: bat

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'lt', 'lv', 'bat']

- src_constituents: {'eng'}

- tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt

- src_alpha3: eng

- tgt_alpha3: bat

- short_pair: en-bat

- chrF2_score: 0.616

- bleu: 37.0

- brevity_penalty: 0.956

- ref_len: 26417.0

- src_name: English

- tgt_name: Baltic languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: bat

- prefer_old: False

- long_pair: eng-bat

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-bat


* source group: English
* target group: Baltic languages
* OPUS readme: eng-bat
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg\_Latn sgs
* 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: 24.0, chr-F: 0.546
testset: URL, BLEU: 20.9, chr-F: 0.533
testset: URL, BLEU: 18.3, chr-F: 0.506
testset: URL, BLEU: 13.6, chr-F: 0.466
testset: URL, BLEU: 42.8, chr-F: 0.652
testset: URL, BLEU: 37.1, chr-F: 0.650
testset: URL, BLEU: 37.0, chr-F: 0.616
testset: URL, BLEU: 0.5, chr-F: 0.130
testset: URL, BLEU: 4.1, chr-F: 0.178


### System Info:


* hf\_name: eng-bat
* source\_languages: eng
* target\_languages: bat
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'lt', 'lv', 'bat']
* src\_constituents: {'eng'}
* tgt\_constituents: {'lit', 'lav', 'prg\_Latn', 'ltg', 'sgs'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bat
* short\_pair: en-bat
* chrF2\_score: 0.616
* bleu: 37.0
* brevity\_penalty: 0.956
* ref\_len: 26417.0
* src\_name: English
* tgt\_name: Baltic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: bat
* prefer\_old: False
* long\_pair: eng-bat
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-bat


* source group: English
* target group: Baltic languages
* OPUS readme: eng-bat
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg\_Latn sgs
* 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: 24.0, chr-F: 0.546
testset: URL, BLEU: 20.9, chr-F: 0.533
testset: URL, BLEU: 18.3, chr-F: 0.506
testset: URL, BLEU: 13.6, chr-F: 0.466
testset: URL, BLEU: 42.8, chr-F: 0.652
testset: URL, BLEU: 37.1, chr-F: 0.650
testset: URL, BLEU: 37.0, chr-F: 0.616
testset: URL, BLEU: 0.5, chr-F: 0.130
testset: URL, BLEU: 4.1, chr-F: 0.178 ### System Info:


* hf\_name: eng-bat
* source\_languages: eng
* target\_languages: bat
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'lt', 'lv', 'bat']
* src\_constituents: {'eng'}
* tgt\_constituents: {'lit', 'lav', 'prg\_Latn', 'ltg', 'sgs'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bat
* short\_pair: en-bat
* chrF2\_score: 0.616
* bleu: 37.0
* brevity\_penalty: 0.956
* ref\_len: 26417.0
* src\_name: English
* tgt\_name: Baltic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: bat
* prefer\_old: False
* long\_pair: eng-bat
* 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 #lt #lv #bat #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-bat


* source group: English
* target group: Baltic languages
* OPUS readme: eng-bat
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg\_Latn sgs
* 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: 24.0, chr-F: 0.546
testset: URL, BLEU: 20.9, chr-F: 0.533
testset: URL, BLEU: 18.3, chr-F: 0.506
testset: URL, BLEU: 13.6, chr-F: 0.466
testset: URL, BLEU: 42.8, chr-F: 0.652
testset: URL, BLEU: 37.1, chr-F: 0.650
testset: URL, BLEU: 37.0, chr-F: 0.616
testset: URL, BLEU: 0.5, chr-F: 0.130
testset: URL, BLEU: 4.1, chr-F: 0.178 ### System Info:


* hf\_name: eng-bat
* source\_languages: eng
* target\_languages: bat
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'lt', 'lv', 'bat']
* src\_constituents: {'eng'}
* tgt\_constituents: {'lit', 'lav', 'prg\_Latn', 'ltg', 'sgs'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: bat
* short\_pair: en-bat
* chrF2\_score: 0.616
* bleu: 37.0
* brevity\_penalty: 0.956
* ref\_len: 26417.0
* src\_name: English
* tgt\_name: Baltic languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: bat
* prefer\_old: False
* long\_pair: eng-bat
* 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 #lt #lv #bat #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-bat


* source group: English
* target group: Baltic languages
* OPUS readme: eng-bat
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg\_Latn sgs
* 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: 24.0, chr-F: 0.546
testset: URL, BLEU: 20.9, chr-F: 0.533
testset: URL, BLEU: 18.3, chr-F: 0.506
testset: URL, BLEU: 13.6, chr-F: 0.466
testset: URL, BLEU: 42.8, chr-F: 0.652
testset: URL, BLEU: 37.1, chr-F: 0.650
testset: URL, BLEU: 37.0, chr-F: 0.616
testset: URL, BLEU: 0.5, chr-F: 0.130
testset: URL, BLEU: 4.1, chr-F: 0.178