
### kor-fin

* source group: Korean 
* target group: Finnish 
*  OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md)

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.fin 	| 26.6 	| 0.502 |


### System Info: 
- hf_name: kor-fin

- source_languages: kor

- target_languages: fin

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ko', 'fi']

- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}

- tgt_constituents: {'fin'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: kor

- tgt_alpha3: fin

- short_pair: ko-fi

- chrF2_score: 0.502

- bleu: 26.6

- brevity_penalty: 0.892

- ref_len: 2251.0

- src_name: Korean

- tgt_name: Finnish

- train_date: 2020-06-17

- src_alpha2: ko

- tgt_alpha2: fi

- prefer_old: False

- long_pair: kor-fin

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### kor-fin


* source group: Korean
* target group: Finnish
* OPUS readme: kor-fin
* model: transformer-align
* source language(s): kor kor\_Hang kor\_Latn
* target language(s): fin
* 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: 26.6, chr-F: 0.502


### System Info:


* hf\_name: kor-fin
* source\_languages: kor
* target\_languages: fin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ko', 'fi']
* src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'}
* tgt\_constituents: {'fin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: kor
* tgt\_alpha3: fin
* short\_pair: ko-fi
* chrF2\_score: 0.502
* bleu: 26.6
* brevity\_penalty: 0.892
* ref\_len: 2251.0
* src\_name: Korean
* tgt\_name: Finnish
* train\_date: 2020-06-17
* src\_alpha2: ko
* tgt\_alpha2: fi
* prefer\_old: False
* long\_pair: kor-fin
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### kor-fin


* source group: Korean
* target group: Finnish
* OPUS readme: kor-fin
* model: transformer-align
* source language(s): kor kor\_Hang kor\_Latn
* target language(s): fin
* 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: 26.6, chr-F: 0.502 ### System Info:


* hf\_name: kor-fin
* source\_languages: kor
* target\_languages: fin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ko', 'fi']
* src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'}
* tgt\_constituents: {'fin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: kor
* tgt\_alpha3: fin
* short\_pair: ko-fi
* chrF2\_score: 0.502
* bleu: 26.6
* brevity\_penalty: 0.892
* ref\_len: 2251.0
* src\_name: Korean
* tgt\_name: Finnish
* train\_date: 2020-06-17
* src\_alpha2: ko
* tgt\_alpha2: fi
* prefer\_old: False
* long\_pair: kor-fin
* 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 #ko #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### kor-fin


* source group: Korean
* target group: Finnish
* OPUS readme: kor-fin
* model: transformer-align
* source language(s): kor kor\_Hang kor\_Latn
* target language(s): fin
* 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: 26.6, chr-F: 0.502 ### System Info:


* hf\_name: kor-fin
* source\_languages: kor
* target\_languages: fin
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ko', 'fi']
* src\_constituents: {'kor\_Hani', 'kor\_Hang', 'kor\_Latn', 'kor'}
* tgt\_constituents: {'fin'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: kor
* tgt\_alpha3: fin
* short\_pair: ko-fi
* chrF2\_score: 0.502
* bleu: 26.6
* brevity\_penalty: 0.892
* ref\_len: 2251.0
* src\_name: Korean
* tgt\_name: Finnish
* train\_date: 2020-06-17
* src\_alpha2: ko
* tgt\_alpha2: fi
* prefer\_old: False
* long\_pair: kor-fin
* 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 #ko #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### kor-fin


* source group: Korean
* target group: Finnish
* OPUS readme: kor-fin
* model: transformer-align
* source language(s): kor kor\_Hang kor\_Latn
* target language(s): fin
* 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: 26.6, chr-F: 0.502