
### eng-phi

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

*  model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 7.1 	| 0.245 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.5 	| 0.435 |
| Tatoeba-test.eng-hil.eng.hil 	| 18.0 	| 0.506 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.4 	| 0.590 |
| Tatoeba-test.eng.multi 	| 13.1 	| 0.392 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.4 	| 0.481 |
| Tatoeba-test.eng-war.eng.war 	| 12.8 	| 0.441 |


### System Info: 
- hf_name: eng-phi

- source_languages: eng

- target_languages: phi

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt

- src_alpha3: eng

- tgt_alpha3: phi

- short_pair: en-phi

- chrF2_score: 0.392

- bleu: 13.1

- brevity_penalty: 1.0

- ref_len: 30022.0

- src_name: English

- tgt_name: Philippine languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: phi

- prefer_old: False

- long_pair: eng-phi

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-phi


* source group: English
* target group: Philippine languages
* OPUS readme: eng-phi
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 7.1, chr-F: 0.245
testset: URL, BLEU: 10.5, chr-F: 0.435
testset: URL, BLEU: 18.0, chr-F: 0.506
testset: URL, BLEU: 33.4, chr-F: 0.590
testset: URL, BLEU: 13.1, chr-F: 0.392
testset: URL, BLEU: 19.4, chr-F: 0.481
testset: URL, BLEU: 12.8, chr-F: 0.441


### System Info:


* hf\_name: eng-phi
* source\_languages: eng
* target\_languages: phi
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'phi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'ilo', 'akl\_Latn', 'war', 'hil', 'pag', 'ceb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: phi
* short\_pair: en-phi
* chrF2\_score: 0.392
* bleu: 13.1
* brevity\_penalty: 1.0
* ref\_len: 30022.0
* src\_name: English
* tgt\_name: Philippine languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: phi
* prefer\_old: False
* long\_pair: eng-phi
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-phi


* source group: English
* target group: Philippine languages
* OPUS readme: eng-phi
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 7.1, chr-F: 0.245
testset: URL, BLEU: 10.5, chr-F: 0.435
testset: URL, BLEU: 18.0, chr-F: 0.506
testset: URL, BLEU: 33.4, chr-F: 0.590
testset: URL, BLEU: 13.1, chr-F: 0.392
testset: URL, BLEU: 19.4, chr-F: 0.481
testset: URL, BLEU: 12.8, chr-F: 0.441 ### System Info:


* hf\_name: eng-phi
* source\_languages: eng
* target\_languages: phi
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'phi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'ilo', 'akl\_Latn', 'war', 'hil', 'pag', 'ceb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: phi
* short\_pair: en-phi
* chrF2\_score: 0.392
* bleu: 13.1
* brevity\_penalty: 1.0
* ref\_len: 30022.0
* src\_name: English
* tgt\_name: Philippine languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: phi
* prefer\_old: False
* long\_pair: eng-phi
* 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 #en #phi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-phi


* source group: English
* target group: Philippine languages
* OPUS readme: eng-phi
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 7.1, chr-F: 0.245
testset: URL, BLEU: 10.5, chr-F: 0.435
testset: URL, BLEU: 18.0, chr-F: 0.506
testset: URL, BLEU: 33.4, chr-F: 0.590
testset: URL, BLEU: 13.1, chr-F: 0.392
testset: URL, BLEU: 19.4, chr-F: 0.481
testset: URL, BLEU: 12.8, chr-F: 0.441 ### System Info:


* hf\_name: eng-phi
* source\_languages: eng
* target\_languages: phi
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'phi']
* src\_constituents: {'eng'}
* tgt\_constituents: {'ilo', 'akl\_Latn', 'war', 'hil', 'pag', 'ceb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: phi
* short\_pair: en-phi
* chrF2\_score: 0.392
* bleu: 13.1
* brevity\_penalty: 1.0
* ref\_len: 30022.0
* src\_name: English
* tgt\_name: Philippine languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: phi
* prefer\_old: False
* long\_pair: eng-phi
* 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 #en #phi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-phi


* source group: English
* target group: Philippine languages
* OPUS readme: eng-phi
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 7.1, chr-F: 0.245
testset: URL, BLEU: 10.5, chr-F: 0.435
testset: URL, BLEU: 18.0, chr-F: 0.506
testset: URL, BLEU: 33.4, chr-F: 0.590
testset: URL, BLEU: 13.1, chr-F: 0.392
testset: URL, BLEU: 19.4, chr-F: 0.481
testset: URL, BLEU: 12.8, chr-F: 0.441