
### eng-pqw

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

*  model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp hil iba ilo ind jav jav_Java mad max_Latn min mlg pag pau sun tmw_Latn war zlm_Latn zsm_Latn
* 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-pqw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 3.0 	| 0.143 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 11.4 	| 0.432 |
| Tatoeba-test.eng-cha.eng.cha 	| 1.4 	| 0.189 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.6 	| 0.139 |
| Tatoeba-test.eng-hil.eng.hil 	| 17.7 	| 0.525 |
| Tatoeba-test.eng-iba.eng.iba 	| 14.6 	| 0.365 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 34.0 	| 0.590 |
| Tatoeba-test.eng-jav.eng.jav 	| 6.2 	| 0.299 |
| Tatoeba-test.eng-mad.eng.mad 	| 2.6 	| 0.154 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 34.3 	| 0.518 |
| Tatoeba-test.eng-msa.eng.msa 	| 31.1 	| 0.561 |
| Tatoeba-test.eng.multi 	| 17.5 	| 0.422 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.8 	| 0.507 |
| Tatoeba-test.eng-pau.eng.pau 	| 1.2 	| 0.129 |
| Tatoeba-test.eng-sun.eng.sun 	| 30.3 	| 0.418 |
| Tatoeba-test.eng-war.eng.war 	| 12.6 	| 0.439 |


### System Info: 
- hf_name: eng-pqw

- source_languages: eng

- target_languages: pqw

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

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

- src_constituents: {'eng'}

- tgt_constituents: set()

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: pqw

- short_pair: en-pqw

- chrF2_score: 0.42200000000000004

- bleu: 17.5

- brevity_penalty: 1.0

- ref_len: 66758.0

- src_name: English

- tgt_name: Western Malayo-Polynesian languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: pqw

- prefer_old: False

- long_pair: eng-pqw

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

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

### eng-pqw


* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: eng-pqw
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb cha dtp hil iba ilo ind jav jav\_Java mad max\_Latn min mlg pag pau sun tmw\_Latn war zlm\_Latn zsm\_Latn
* 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: 3.0, chr-F: 0.143
testset: URL, BLEU: 11.4, chr-F: 0.432
testset: URL, BLEU: 1.4, chr-F: 0.189
testset: URL, BLEU: 0.6, chr-F: 0.139
testset: URL, BLEU: 17.7, chr-F: 0.525
testset: URL, BLEU: 14.6, chr-F: 0.365
testset: URL, BLEU: 34.0, chr-F: 0.590
testset: URL, BLEU: 6.2, chr-F: 0.299
testset: URL, BLEU: 2.6, chr-F: 0.154
testset: URL, BLEU: 34.3, chr-F: 0.518
testset: URL, BLEU: 31.1, chr-F: 0.561
testset: URL, BLEU: 17.5, chr-F: 0.422
testset: URL, BLEU: 19.8, chr-F: 0.507
testset: URL, BLEU: 1.2, chr-F: 0.129
testset: URL, BLEU: 30.3, chr-F: 0.418
testset: URL, BLEU: 12.6, chr-F: 0.439


### System Info:


* hf\_name: eng-pqw
* source\_languages: eng
* target\_languages: pqw
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'pqw']
* src\_constituents: {'eng'}
* tgt\_constituents: set()
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqw
* short\_pair: en-pqw
* chrF2\_score: 0.42200000000000004
* bleu: 17.5
* brevity\_penalty: 1.0
* ref\_len: 66758.0
* src\_name: English
* tgt\_name: Western Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqw
* prefer\_old: False
* long\_pair: eng-pqw
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-pqw


* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: eng-pqw
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb cha dtp hil iba ilo ind jav jav\_Java mad max\_Latn min mlg pag pau sun tmw\_Latn war zlm\_Latn zsm\_Latn
* 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: 3.0, chr-F: 0.143
testset: URL, BLEU: 11.4, chr-F: 0.432
testset: URL, BLEU: 1.4, chr-F: 0.189
testset: URL, BLEU: 0.6, chr-F: 0.139
testset: URL, BLEU: 17.7, chr-F: 0.525
testset: URL, BLEU: 14.6, chr-F: 0.365
testset: URL, BLEU: 34.0, chr-F: 0.590
testset: URL, BLEU: 6.2, chr-F: 0.299
testset: URL, BLEU: 2.6, chr-F: 0.154
testset: URL, BLEU: 34.3, chr-F: 0.518
testset: URL, BLEU: 31.1, chr-F: 0.561
testset: URL, BLEU: 17.5, chr-F: 0.422
testset: URL, BLEU: 19.8, chr-F: 0.507
testset: URL, BLEU: 1.2, chr-F: 0.129
testset: URL, BLEU: 30.3, chr-F: 0.418
testset: URL, BLEU: 12.6, chr-F: 0.439 ### System Info:


* hf\_name: eng-pqw
* source\_languages: eng
* target\_languages: pqw
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'pqw']
* src\_constituents: {'eng'}
* tgt\_constituents: set()
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqw
* short\_pair: en-pqw
* chrF2\_score: 0.42200000000000004
* bleu: 17.5
* brevity\_penalty: 1.0
* ref\_len: 66758.0
* src\_name: English
* tgt\_name: Western Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqw
* prefer\_old: False
* long\_pair: eng-pqw
* 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 #pqw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-pqw


* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: eng-pqw
* model: transformer
* source language(s): eng
* target language(s): akl\_Latn ceb cha dtp hil iba ilo ind jav jav\_Java mad max\_Latn min mlg pag pau sun tmw\_Latn war zlm\_Latn zsm\_Latn
* 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: 3.0, chr-F: 0.143
testset: URL, BLEU: 11.4, chr-F: 0.432
testset: URL, BLEU: 1.4, chr-F: 0.189
testset: URL, BLEU: 0.6, chr-F: 0.139
testset: URL, BLEU: 17.7, chr-F: 0.525
testset: URL, BLEU: 14.6, chr-F: 0.365
testset: URL, BLEU: 34.0, chr-F: 0.590
testset: URL, BLEU: 6.2, chr-F: 0.299
testset: URL, BLEU: 2.6, chr-F: 0.154
testset: URL, BLEU: 34.3, chr-F: 0.518
testset: URL, BLEU: 31.1, chr-F: 0.561
testset: URL, BLEU: 17.5, chr-F: 0.422
testset: URL, BLEU: 19.8, chr-F: 0.507
testset: URL, BLEU: 1.2, chr-F: 0.129
testset: URL, BLEU: 30.3, chr-F: 0.418
testset: URL, BLEU: 12.6, chr-F: 0.439 ### System Info:


* hf\_name: eng-pqw
* source\_languages: eng
* target\_languages: pqw
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'pqw']
* src\_constituents: {'eng'}
* tgt\_constituents: set()
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqw
* short\_pair: en-pqw
* chrF2\_score: 0.42200000000000004
* bleu: 17.5
* brevity\_penalty: 1.0
* ref\_len: 66758.0
* src\_name: English
* tgt\_name: Western Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqw
* prefer\_old: False
* long\_pair: eng-pqw
* 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 #pqw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
