
### he-en

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

*  model: transformer
* source language(s): heb
* target language(s): eng
* 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-eng/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-eng/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-eng/opus-2020-10-04.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.eng 	| 52.0 	| 0.670 |


### System Info: 
- hf_name: he-en

- source_languages: heb

- target_languages: eng

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

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

- tgt_constituents: ('English', {'eng'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: heb-eng

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: heb

- tgt_alpha3: eng

- chrF2_score: 0.67

- bleu: 52.0

- brevity_penalty: 0.9690000000000001

- ref_len: 73560.0

- src_name: Hebrew

- tgt_name: English

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

- src_alpha2: he

- tgt_alpha2: en

- prefer_old: False

- short_pair: he-en

- helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561

- transformers_git_sha: d99ed7ad618037ae878f0758157ed0764bd7f935

- port_machine: LM0-400-22516.local

- port_time: 2020-10-15-16:31
{"language": ["he", "en"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch rust marian text2text-generation translation he en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #he #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

### he-en


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


Benchmarks
----------


testset: URL, BLEU: 52.0, chr-F: 0.670


### System Info:


* hf\_name: he-en
* source\_languages: heb
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'en']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('English', {'eng'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-eng
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: eng
* chrF2\_score: 0.67
* bleu: 52.0
* brevity\_penalty: 0.9690000000000001
* ref\_len: 73560.0
* src\_name: Hebrew
* tgt\_name: English
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: en
* prefer\_old: False
* short\_pair: he-en
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: d99ed7ad618037ae878f0758157ed0764bd7f935
* port\_machine: URL
* port\_time: 2020-10-15-16:31



### he-en


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


Benchmarks
----------


testset: URL, BLEU: 52.0, chr-F: 0.670 ### System Info:


* hf\_name: he-en
* source\_languages: heb
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'en']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('English', {'eng'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-eng
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: eng
* chrF2\_score: 0.67
* bleu: 52.0
* brevity\_penalty: 0.9690000000000001
* ref\_len: 73560.0
* src\_name: Hebrew
* tgt\_name: English
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: en
* prefer\_old: False
* short\_pair: he-en
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: d99ed7ad618037ae878f0758157ed0764bd7f935
* port\_machine: URL
* port\_time: 2020-10-15-16:31
TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #he #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### he-en


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


Benchmarks
----------


testset: URL, BLEU: 52.0, chr-F: 0.670 ### System Info:


* hf\_name: he-en
* source\_languages: heb
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'en']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('English', {'eng'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-eng
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: eng
* chrF2\_score: 0.67
* bleu: 52.0
* brevity\_penalty: 0.9690000000000001
* ref\_len: 73560.0
* src\_name: Hebrew
* tgt\_name: English
* train\_date: 2020-10-04 00:00:00
* src\_alpha2: he
* tgt\_alpha2: en
* prefer\_old: False
* short\_pair: he-en
* helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
* transformers\_git\_sha: d99ed7ad618037ae878f0758157ed0764bd7f935
* port\_machine: URL
* port\_time: 2020-10-15-16:31
passage: TAGS
#transformers #pytorch #rust #marian #text2text-generation #translation #he #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### he-en


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


Benchmarks
----------


testset: URL, BLEU: 52.0, chr-F: 0.670