
### eng-alv

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

*  model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* 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-alv/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ewe.eng.ewe 	| 4.9 	| 0.212 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.6 	| 0.079 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 3.5 	| 0.255 |
| Tatoeba-test.eng-kin.eng.kin 	| 10.5 	| 0.510 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.1 	| 0.273 |
| Tatoeba-test.eng-lug.eng.lug 	| 5.3 	| 0.340 |
| Tatoeba-test.eng.multi 	| 11.4 	| 0.429 |
| Tatoeba-test.eng-nya.eng.nya 	| 18.1 	| 0.595 |
| Tatoeba-test.eng-run.eng.run 	| 13.9 	| 0.484 |
| Tatoeba-test.eng-sag.eng.sag 	| 5.3 	| 0.194 |
| Tatoeba-test.eng-sna.eng.sna 	| 26.2 	| 0.623 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.0 	| 0.141 |
| Tatoeba-test.eng-toi.eng.toi 	| 7.0 	| 0.224 |
| Tatoeba-test.eng-tso.eng.tso 	| 46.7 	| 0.643 |
| Tatoeba-test.eng-umb.eng.umb 	| 7.8 	| 0.359 |
| Tatoeba-test.eng-wol.eng.wol 	| 6.8 	| 0.191 |
| Tatoeba-test.eng-xho.eng.xho 	| 27.1 	| 0.629 |
| Tatoeba-test.eng-yor.eng.yor 	| 17.4 	| 0.356 |
| Tatoeba-test.eng-zul.eng.zul 	| 34.1 	| 0.729 |


### System Info: 
- hf_name: eng-alv

- source_languages: eng

- target_languages: alv

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']

- src_constituents: {'eng'}

- tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}

- src_multilingual: False

- tgt_multilingual: True

- prepro:  normalization + SentencePiece (spm32k,spm32k)

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

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

- src_alpha3: eng

- tgt_alpha3: alv

- short_pair: en-alv

- chrF2_score: 0.429

- bleu: 11.4

- brevity_penalty: 1.0

- ref_len: 10603.0

- src_name: English

- tgt_name: Atlantic-Congo languages

- train_date: 2020-08-01

- src_alpha2: en

- tgt_alpha2: alv

- prefer_old: False

- long_pair: eng-alv

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation en sn rw wo ig sg ee zu lg ts ln ny yo rn xh alv license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #en #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### eng-alv


* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: eng-alv
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul
* 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: 4.9, chr-F: 0.212
testset: URL, BLEU: 0.6, chr-F: 0.079
testset: URL, BLEU: 3.5, chr-F: 0.255
testset: URL, BLEU: 10.5, chr-F: 0.510
testset: URL, BLEU: 1.1, chr-F: 0.273
testset: URL, BLEU: 5.3, chr-F: 0.340
testset: URL, BLEU: 11.4, chr-F: 0.429
testset: URL, BLEU: 18.1, chr-F: 0.595
testset: URL, BLEU: 13.9, chr-F: 0.484
testset: URL, BLEU: 5.3, chr-F: 0.194
testset: URL, BLEU: 26.2, chr-F: 0.623
testset: URL, BLEU: 1.0, chr-F: 0.141
testset: URL, BLEU: 7.0, chr-F: 0.224
testset: URL, BLEU: 46.7, chr-F: 0.643
testset: URL, BLEU: 7.8, chr-F: 0.359
testset: URL, BLEU: 6.8, chr-F: 0.191
testset: URL, BLEU: 27.1, chr-F: 0.629
testset: URL, BLEU: 17.4, chr-F: 0.356
testset: URL, BLEU: 34.1, chr-F: 0.729


### System Info:


* hf\_name: eng-alv
* source\_languages: eng
* target\_languages: alv
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
* src\_constituents: {'eng'}
* tgt\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\_Latn', 'umb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: alv
* short\_pair: en-alv
* chrF2\_score: 0.429
* bleu: 11.4
* brevity\_penalty: 1.0
* ref\_len: 10603.0
* src\_name: English
* tgt\_name: Atlantic-Congo languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: alv
* prefer\_old: False
* long\_pair: eng-alv
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### eng-alv


* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: eng-alv
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul
* 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: 4.9, chr-F: 0.212
testset: URL, BLEU: 0.6, chr-F: 0.079
testset: URL, BLEU: 3.5, chr-F: 0.255
testset: URL, BLEU: 10.5, chr-F: 0.510
testset: URL, BLEU: 1.1, chr-F: 0.273
testset: URL, BLEU: 5.3, chr-F: 0.340
testset: URL, BLEU: 11.4, chr-F: 0.429
testset: URL, BLEU: 18.1, chr-F: 0.595
testset: URL, BLEU: 13.9, chr-F: 0.484
testset: URL, BLEU: 5.3, chr-F: 0.194
testset: URL, BLEU: 26.2, chr-F: 0.623
testset: URL, BLEU: 1.0, chr-F: 0.141
testset: URL, BLEU: 7.0, chr-F: 0.224
testset: URL, BLEU: 46.7, chr-F: 0.643
testset: URL, BLEU: 7.8, chr-F: 0.359
testset: URL, BLEU: 6.8, chr-F: 0.191
testset: URL, BLEU: 27.1, chr-F: 0.629
testset: URL, BLEU: 17.4, chr-F: 0.356
testset: URL, BLEU: 34.1, chr-F: 0.729 ### System Info:


* hf\_name: eng-alv
* source\_languages: eng
* target\_languages: alv
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
* src\_constituents: {'eng'}
* tgt\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\_Latn', 'umb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: alv
* short\_pair: en-alv
* chrF2\_score: 0.429
* bleu: 11.4
* brevity\_penalty: 1.0
* ref\_len: 10603.0
* src\_name: English
* tgt\_name: Atlantic-Congo languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: alv
* prefer\_old: False
* long\_pair: eng-alv
* 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 #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### eng-alv


* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: eng-alv
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul
* 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: 4.9, chr-F: 0.212
testset: URL, BLEU: 0.6, chr-F: 0.079
testset: URL, BLEU: 3.5, chr-F: 0.255
testset: URL, BLEU: 10.5, chr-F: 0.510
testset: URL, BLEU: 1.1, chr-F: 0.273
testset: URL, BLEU: 5.3, chr-F: 0.340
testset: URL, BLEU: 11.4, chr-F: 0.429
testset: URL, BLEU: 18.1, chr-F: 0.595
testset: URL, BLEU: 13.9, chr-F: 0.484
testset: URL, BLEU: 5.3, chr-F: 0.194
testset: URL, BLEU: 26.2, chr-F: 0.623
testset: URL, BLEU: 1.0, chr-F: 0.141
testset: URL, BLEU: 7.0, chr-F: 0.224
testset: URL, BLEU: 46.7, chr-F: 0.643
testset: URL, BLEU: 7.8, chr-F: 0.359
testset: URL, BLEU: 6.8, chr-F: 0.191
testset: URL, BLEU: 27.1, chr-F: 0.629
testset: URL, BLEU: 17.4, chr-F: 0.356
testset: URL, BLEU: 34.1, chr-F: 0.729 ### System Info:


* hf\_name: eng-alv
* source\_languages: eng
* target\_languages: alv
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
* src\_constituents: {'eng'}
* tgt\_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi\_Latn', 'umb'}
* src\_multilingual: False
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: eng
* tgt\_alpha3: alv
* short\_pair: en-alv
* chrF2\_score: 0.429
* bleu: 11.4
* brevity\_penalty: 1.0
* ref\_len: 10603.0
* src\_name: English
* tgt\_name: Atlantic-Congo languages
* train\_date: 2020-08-01
* src\_alpha2: en
* tgt\_alpha2: alv
* prefer\_old: False
* long\_pair: eng-alv
* 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 #sn #rw #wo #ig #sg #ee #zu #lg #ts #ln #ny #yo #rn #xh #alv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 passage: ### eng-alv


* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: eng-alv
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi\_Latn tso umb wol xho yor zul
* 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: 4.9, chr-F: 0.212
testset: URL, BLEU: 0.6, chr-F: 0.079
testset: URL, BLEU: 3.5, chr-F: 0.255
testset: URL, BLEU: 10.5, chr-F: 0.510
testset: URL, BLEU: 1.1, chr-F: 0.273
testset: URL, BLEU: 5.3, chr-F: 0.340
testset: URL, BLEU: 11.4, chr-F: 0.429
testset: URL, BLEU: 18.1, chr-F: 0.595
testset: URL, BLEU: 13.9, chr-F: 0.484
testset: URL, BLEU: 5.3, chr-F: 0.194
testset: URL, BLEU: 26.2, chr-F: 0.623
testset: URL, BLEU: 1.0, chr-F: 0.141
testset: URL, BLEU: 7.0, chr-F: 0.224
testset: URL, BLEU: 46.7, chr-F: 0.643
testset: URL, BLEU: 7.8, chr-F: 0.359
testset: URL, BLEU: 6.8, chr-F: 0.191
testset: URL, BLEU: 27.1, chr-F: 0.629
testset: URL, BLEU: 17.4, chr-F: 0.356
testset: URL, BLEU: 34.1, chr-F: 0.729