
### ukr-hun

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

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hun 	| 41.4 	| 0.649 |


### System Info: 
- hf_name: ukr-hun

- source_languages: ukr

- target_languages: hun

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'ukr'}

- tgt_constituents: {'hun'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: ukr

- tgt_alpha3: hun

- short_pair: uk-hu

- chrF2_score: 0.649

- bleu: 41.4

- brevity_penalty: 0.9740000000000001

- ref_len: 2433.0

- src_name: Ukrainian

- tgt_name: Hungarian

- train_date: 2020-06-17

- src_alpha2: uk

- tgt_alpha2: hu

- prefer_old: False

- long_pair: ukr-hun

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### ukr-hun


* source group: Ukrainian
* target group: Hungarian
* OPUS readme: ukr-hun
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* 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: 41.4, chr-F: 0.649


### System Info:


* hf\_name: ukr-hun
* source\_languages: ukr
* target\_languages: hun
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'hu']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hun'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hun
* short\_pair: uk-hu
* chrF2\_score: 0.649
* bleu: 41.4
* brevity\_penalty: 0.9740000000000001
* ref\_len: 2433.0
* src\_name: Ukrainian
* tgt\_name: Hungarian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: hu
* prefer\_old: False
* long\_pair: ukr-hun
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### ukr-hun


* source group: Ukrainian
* target group: Hungarian
* OPUS readme: ukr-hun
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* 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: 41.4, chr-F: 0.649 ### System Info:


* hf\_name: ukr-hun
* source\_languages: ukr
* target\_languages: hun
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'hu']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hun'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hun
* short\_pair: uk-hu
* chrF2\_score: 0.649
* bleu: 41.4
* brevity\_penalty: 0.9740000000000001
* ref\_len: 2433.0
* src\_name: Ukrainian
* tgt\_name: Hungarian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: hu
* prefer\_old: False
* long\_pair: ukr-hun
* 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 #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### ukr-hun


* source group: Ukrainian
* target group: Hungarian
* OPUS readme: ukr-hun
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* 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: 41.4, chr-F: 0.649 ### System Info:


* hf\_name: ukr-hun
* source\_languages: ukr
* target\_languages: hun
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['uk', 'hu']
* src\_constituents: {'ukr'}
* tgt\_constituents: {'hun'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: ukr
* tgt\_alpha3: hun
* short\_pair: uk-hu
* chrF2\_score: 0.649
* bleu: 41.4
* brevity\_penalty: 0.9740000000000001
* ref\_len: 2433.0
* src\_name: Ukrainian
* tgt\_name: Hungarian
* train\_date: 2020-06-17
* src\_alpha2: uk
* tgt\_alpha2: hu
* prefer\_old: False
* long\_pair: ukr-hun
* 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 #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### ukr-hun


* source group: Ukrainian
* target group: Hungarian
* OPUS readme: ukr-hun
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* 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: 41.4, chr-F: 0.649