
### eng-pqe

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

*  model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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-pqe/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-fij.eng.fij 	| 22.1 	| 0.396 |
| Tatoeba-test.eng-gil.eng.gil 	| 41.9 	| 0.673 |
| Tatoeba-test.eng-haw.eng.haw 	| 0.6 	| 0.114 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 0.5 	| 0.075 |
| Tatoeba-test.eng-mah.eng.mah 	| 9.7 	| 0.386 |
| Tatoeba-test.eng-mri.eng.mri 	| 7.7 	| 0.301 |
| Tatoeba-test.eng.multi 	| 11.3 	| 0.306 |
| Tatoeba-test.eng-nau.eng.nau 	| 0.5 	| 0.071 |
| Tatoeba-test.eng-niu.eng.niu 	| 42.5 	| 0.560 |
| Tatoeba-test.eng-rap.eng.rap 	| 3.3 	| 0.122 |
| Tatoeba-test.eng-smo.eng.smo 	| 27.0 	| 0.462 |
| Tatoeba-test.eng-tah.eng.tah 	| 11.3 	| 0.307 |
| Tatoeba-test.eng-ton.eng.ton 	| 27.0 	| 0.528 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 29.3 	| 0.513 |


### System Info: 
- hf_name: eng-pqe

- source_languages: eng

- target_languages: pqe

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']

- src_constituents: {'eng'}

- tgt_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: pqe

- short_pair: en-pqe

- chrF2_score: 0.306

- bleu: 11.3

- brevity_penalty: 1.0

- ref_len: 5786.0

- src_name: English

- tgt_name: Eastern Malayo-Polynesian languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: pqe

- prefer_old: False

- long_pair: eng-pqe

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["en", "fj", "mi", "ty", "to", "na", "sm", "mh", "pqe"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation en fj mi ty to na sm mh pqe license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #fj #mi #ty #to #na #sm #mh #pqe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### eng-pqe


* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: eng-pqe
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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: 22.1, chr-F: 0.396
testset: URL, BLEU: 41.9, chr-F: 0.673
testset: URL, BLEU: 0.6, chr-F: 0.114
testset: URL, BLEU: 0.5, chr-F: 0.075
testset: URL, BLEU: 9.7, chr-F: 0.386
testset: URL, BLEU: 7.7, chr-F: 0.301
testset: URL, BLEU: 11.3, chr-F: 0.306
testset: URL, BLEU: 0.5, chr-F: 0.071
testset: URL, BLEU: 42.5, chr-F: 0.560
testset: URL, BLEU: 3.3, chr-F: 0.122
testset: URL, BLEU: 27.0, chr-F: 0.462
testset: URL, BLEU: 11.3, chr-F: 0.307
testset: URL, BLEU: 27.0, chr-F: 0.528
testset: URL, BLEU: 29.3, chr-F: 0.513


### System Info:


* hf\_name: eng-pqe
* source\_languages: eng
* target\_languages: pqe
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
* src\_constituents: {'eng'}
* tgt\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqe
* short\_pair: en-pqe
* chrF2\_score: 0.306
* bleu: 11.3
* brevity\_penalty: 1.0
* ref\_len: 5786.0
* src\_name: English
* tgt\_name: Eastern Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqe
* prefer\_old: False
* long\_pair: eng-pqe
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-pqe


* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: eng-pqe
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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: 22.1, chr-F: 0.396
testset: URL, BLEU: 41.9, chr-F: 0.673
testset: URL, BLEU: 0.6, chr-F: 0.114
testset: URL, BLEU: 0.5, chr-F: 0.075
testset: URL, BLEU: 9.7, chr-F: 0.386
testset: URL, BLEU: 7.7, chr-F: 0.301
testset: URL, BLEU: 11.3, chr-F: 0.306
testset: URL, BLEU: 0.5, chr-F: 0.071
testset: URL, BLEU: 42.5, chr-F: 0.560
testset: URL, BLEU: 3.3, chr-F: 0.122
testset: URL, BLEU: 27.0, chr-F: 0.462
testset: URL, BLEU: 11.3, chr-F: 0.307
testset: URL, BLEU: 27.0, chr-F: 0.528
testset: URL, BLEU: 29.3, chr-F: 0.513 ### System Info:


* hf\_name: eng-pqe
* source\_languages: eng
* target\_languages: pqe
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
* src\_constituents: {'eng'}
* tgt\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqe
* short\_pair: en-pqe
* chrF2\_score: 0.306
* bleu: 11.3
* brevity\_penalty: 1.0
* ref\_len: 5786.0
* src\_name: English
* tgt\_name: Eastern Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqe
* prefer\_old: False
* long\_pair: eng-pqe
* 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 #fj #mi #ty #to #na #sm #mh #pqe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-pqe


* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: eng-pqe
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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: 22.1, chr-F: 0.396
testset: URL, BLEU: 41.9, chr-F: 0.673
testset: URL, BLEU: 0.6, chr-F: 0.114
testset: URL, BLEU: 0.5, chr-F: 0.075
testset: URL, BLEU: 9.7, chr-F: 0.386
testset: URL, BLEU: 7.7, chr-F: 0.301
testset: URL, BLEU: 11.3, chr-F: 0.306
testset: URL, BLEU: 0.5, chr-F: 0.071
testset: URL, BLEU: 42.5, chr-F: 0.560
testset: URL, BLEU: 3.3, chr-F: 0.122
testset: URL, BLEU: 27.0, chr-F: 0.462
testset: URL, BLEU: 11.3, chr-F: 0.307
testset: URL, BLEU: 27.0, chr-F: 0.528
testset: URL, BLEU: 29.3, chr-F: 0.513 ### System Info:


* hf\_name: eng-pqe
* source\_languages: eng
* target\_languages: pqe
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
* src\_constituents: {'eng'}
* tgt\_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: pqe
* short\_pair: en-pqe
* chrF2\_score: 0.306
* bleu: 11.3
* brevity\_penalty: 1.0
* ref\_len: 5786.0
* src\_name: English
* tgt\_name: Eastern Malayo-Polynesian languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: pqe
* prefer\_old: False
* long\_pair: eng-pqe
* 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 #fj #mi #ty #to #na #sm #mh #pqe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### eng-pqe


* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: eng-pqe
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* 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: 22.1, chr-F: 0.396
testset: URL, BLEU: 41.9, chr-F: 0.673
testset: URL, BLEU: 0.6, chr-F: 0.114
testset: URL, BLEU: 0.5, chr-F: 0.075
testset: URL, BLEU: 9.7, chr-F: 0.386
testset: URL, BLEU: 7.7, chr-F: 0.301
testset: URL, BLEU: 11.3, chr-F: 0.306
testset: URL, BLEU: 0.5, chr-F: 0.071
testset: URL, BLEU: 42.5, chr-F: 0.560
testset: URL, BLEU: 3.3, chr-F: 0.122
testset: URL, BLEU: 27.0, chr-F: 0.462
testset: URL, BLEU: 11.3, chr-F: 0.307
testset: URL, BLEU: 27.0, chr-F: 0.528
testset: URL, BLEU: 29.3, chr-F: 0.513