
### eng-vie

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

*  model: transformer-align
* source language(s): eng
* target language(s): vie vie_Hani
* model: transformer-align
* 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.vie 	| 37.2 	| 0.542 |


### System Info: 
- hf_name: eng-vie

- source_languages: eng

- target_languages: vie

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'vie', 'vie_Hani'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt

- src_alpha3: eng

- tgt_alpha3: vie

- short_pair: en-vi

- chrF2_score: 0.542

- bleu: 37.2

- brevity_penalty: 0.973

- ref_len: 24427.0

- src_name: English

- tgt_name: Vietnamese

- train_date: 2020-06-17

- src_alpha2: en

- tgt_alpha2: vi

- prefer_old: False

- long_pair: eng-vie

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-vie


* source group: English
* target group: Vietnamese
* OPUS readme: eng-vie
* model: transformer-align
* source language(s): eng
* target language(s): vie vie\_Hani
* model: transformer-align
* 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: 37.2, chr-F: 0.542


### System Info:


* hf\_name: eng-vie
* source\_languages: eng
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'vi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: vie
* short\_pair: en-vi
* chrF2\_score: 0.542
* bleu: 37.2
* brevity\_penalty: 0.973
* ref\_len: 24427.0
* src\_name: English
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: eng-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-vie


* source group: English
* target group: Vietnamese
* OPUS readme: eng-vie
* model: transformer-align
* source language(s): eng
* target language(s): vie vie\_Hani
* model: transformer-align
* 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: 37.2, chr-F: 0.542 ### System Info:


* hf\_name: eng-vie
* source\_languages: eng
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'vi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: vie
* short\_pair: en-vi
* chrF2\_score: 0.542
* bleu: 37.2
* brevity\_penalty: 0.973
* ref\_len: 24427.0
* src\_name: English
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: eng-vie
* 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 #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-vie


* source group: English
* target group: Vietnamese
* OPUS readme: eng-vie
* model: transformer-align
* source language(s): eng
* target language(s): vie vie\_Hani
* model: transformer-align
* 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: 37.2, chr-F: 0.542 ### System Info:


* hf\_name: eng-vie
* source\_languages: eng
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'vi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: vie
* short\_pair: en-vi
* chrF2\_score: 0.542
* bleu: 37.2
* brevity\_penalty: 0.973
* ref\_len: 24427.0
* src\_name: English
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: en
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: eng-vie
* 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 #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-vie


* source group: English
* target group: Vietnamese
* OPUS readme: eng-vie
* model: transformer-align
* source language(s): eng
* target language(s): vie vie\_Hani
* model: transformer-align
* 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: 37.2, chr-F: 0.542