
### ukr-por

* source group: Ukrainian 
* target group: Portuguese 
*  OPUS readme: [ukr-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md)

*  model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.por 	| 38.1 	| 0.601 |


### System Info: 
- hf_name: ukr-por

- source_languages: ukr

- target_languages: por

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['uk', 'pt']

- src_constituents: {'ukr'}

- tgt_constituents: {'por'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: por

- short_pair: uk-pt

- chrF2_score: 0.601

- bleu: 38.1

- brevity_penalty: 0.981

- ref_len: 21315.0

- src_name: Ukrainian

- tgt_name: Portuguese

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: pt

- prefer_old: False

- long_pair: ukr-por

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### ukr-por


* source group: Ukrainian
* target group: Portuguese
* OPUS readme: ukr-por
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 38.1, chr-F: 0.601


### System Info:


* hf\_name: ukr-por
* source\_languages: ukr
* target\_languages: por
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'pt']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'por'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: por
* short\_pair: uk-pt
* chrF2\_score: 0.601
* bleu: 38.1
* brevity\_penalty: 0.981
* ref\_len: 21315.0
* src\_name: Ukrainian
* tgt\_name: Portuguese
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: pt
* prefer\_old: False
* long\_pair: ukr-por
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### ukr-por


* source group: Ukrainian
* target group: Portuguese
* OPUS readme: ukr-por
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 38.1, chr-F: 0.601 ### System Info:


* hf\_name: ukr-por
* source\_languages: ukr
* target\_languages: por
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'pt']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'por'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: por
* short\_pair: uk-pt
* chrF2\_score: 0.601
* bleu: 38.1
* brevity\_penalty: 0.981
* ref\_len: 21315.0
* src\_name: Ukrainian
* tgt\_name: Portuguese
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: pt
* prefer\_old: False
* long\_pair: ukr-por
* 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 #uk #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### ukr-por


* source group: Ukrainian
* target group: Portuguese
* OPUS readme: ukr-por
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 38.1, chr-F: 0.601 ### System Info:


* hf\_name: ukr-por
* source\_languages: ukr
* target\_languages: por
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'pt']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'por'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: por
* short\_pair: uk-pt
* chrF2\_score: 0.601
* bleu: 38.1
* brevity\_penalty: 0.981
* ref\_len: 21315.0
* src\_name: Ukrainian
* tgt\_name: Portuguese
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: pt
* prefer\_old: False
* long\_pair: ukr-por
* 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 #uk #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### ukr-por


* source group: Ukrainian
* target group: Portuguese
* OPUS readme: ukr-por
* model: transformer-align
* source language(s): ukr
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 38.1, chr-F: 0.601