
### he-ru

* source group: Hebrew 
* target group: Russian 
*  OPUS readme: [heb-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md)

*  model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.rus 	| 40.5 	| 0.599 |


### System Info: 
- hf_name: he-ru

- source_languages: heb

- target_languages: rus

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['he', 'ru']

- src_constituents: ('Hebrew', {'heb'})

- tgt_constituents: ('Russian', {'rus'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: heb-rus

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt

- src_alpha3: heb

- tgt_alpha3: rus

- chrF2_score: 0.599

- bleu: 40.5

- brevity_penalty: 0.963

- ref_len: 16583.0

- src_name: Hebrew

- tgt_name: Russian

- train_date: 2020-10-04 00:00:00

- src_alpha2: he

- tgt_alpha2: ru

- prefer_old: False

- short_pair: he-ru

- helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561

- transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435

- port_machine: LM0-400-22516.local

- port_time: 2020-10-26-16:16
{"language": ["he", "ru"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation he ru license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### he-ru


* source group: Hebrew
* target group: Russian
* OPUS readme: heb-rus
* model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 40.5, chr-F: 0.599


### System Info:


* hf\_name: he-ru
* source\_languages: heb
* target\_languages: rus
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'ru']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('Russian', {'rus'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-rus
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: rus
* chrF2\_score: 0.599
* bleu: 40.5
* brevity\_penalty: 0.963
* ref\_len: 16583.0
* src\_name: Hebrew
* tgt\_name: Russian
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: ru
* prefer\_old: False
* short\_pair: he-ru
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
* port\_machine: URL
* port\_time: 2020-10-26-16:16



### he-ru


* source group: Hebrew
* target group: Russian
* OPUS readme: heb-rus
* model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 40.5, chr-F: 0.599 ### System Info:


* hf\_name: he-ru
* source\_languages: heb
* target\_languages: rus
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'ru']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('Russian', {'rus'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-rus
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: rus
* chrF2\_score: 0.599
* bleu: 40.5
* brevity\_penalty: 0.963
* ref\_len: 16583.0
* src\_name: Hebrew
* tgt\_name: Russian
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: ru
* prefer\_old: False
* short\_pair: he-ru
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
* port\_machine: URL
* port\_time: 2020-10-26-16:16
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### he-ru


* source group: Hebrew
* target group: Russian
* OPUS readme: heb-rus
* model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 40.5, chr-F: 0.599 ### System Info:


* hf\_name: he-ru
* source\_languages: heb
* target\_languages: rus
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'ru']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('Russian', {'rus'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-rus
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: rus
* chrF2\_score: 0.599
* bleu: 40.5
* brevity\_penalty: 0.963
* ref\_len: 16583.0
* src\_name: Hebrew
* tgt\_name: Russian
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: ru
* prefer\_old: False
* short\_pair: he-ru
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
* port\_machine: URL
* port\_time: 2020-10-26-16:16
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### he-ru


* source group: Hebrew
* target group: Russian
* OPUS readme: heb-rus
* model: transformer
* source language(s): heb
* target language(s): rus
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 40.5, chr-F: 0.599