- hf_name: itc-eng
- source_languages: itc
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc', 'en']
- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt
- src_alpha3: itc
- tgt_alpha3: eng
- short_pair: itc-en
- chrF2_score: 0.634
- bleu: 47.6
- brevity_penalty: 0.981
- ref_len: 77633.0
- src_name: Italic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: itc
- tgt_alpha2: en
- prefer_old: False
- long_pair: itc-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-itc-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, it, ca, rm, es, ro, gl, sc, co, wa, pt, oc, an, id, fr, ht, itc, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-mt-sv


* source languages: mt
* target languages: sv
* OPUS readme: [mt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.sv 	| 30.4 	| 0.514 |


model name: opus-mt-mt-sv


tags: pytorch, marian, text2text-generation, mt, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pt
- tl


- translation


## license: apache-2.0


### por-tgl


* source group: Portuguese
* target group: Tagalog
* OPUS readme: [por-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md)
* model: transformer-align
* source language(s): por
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.tgl 	| 28.4 	| 0.565 |


### System Info:


- hf_name: por-tgl
- source_languages: por
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'tl']
- src_constituents: {'por'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: tgl
- short_pair: pt-tl
- chrF2_score: 0.565
- bleu: 28.4
- brevity_penalty: 1.0
- ref_len: 13620.0
- src_name: Portuguese
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: tl
- prefer_old: False
- long_pair: por-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pt-tl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pt, tl, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-nl-fr


* source languages: nl
* target languages: fr
* OPUS readme: [nl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-fr/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fr/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fr/opus-2020-01-24.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.nl.fr 	| 51.3 	| 0.674 |


model name: opus-mt-nl-fr


tags: pytorch, marian, text2text-generation, nl, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-loz


* source languages: es
* target languages: loz
* OPUS readme: [es-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-loz/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.loz 	| 28.6 	| 0.493 |


model name: opus-mt-es-loz


tags: pytorch, marian, text2text-generation, es, loz, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- se
- fi
- hu
- et
- urj


- translation


## license: apache-2.0


### urj-urj


* source group: Uralic languages
* target group: Uralic languages
* OPUS readme: [urj-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est 	| 5.1 	| 0.288 |
| Tatoeba-test.est-fin.est.fin 	| 50.9 	| 0.709 |
| Tatoeba-test.est-fkv.est.fkv 	| 0.7 	| 0.215 |
| Tatoeba-test.est-vep.est.vep 	| 1.0 	| 0.154 |
| Tatoeba-test.fin-est.fin.est 	| 55.5 	| 0.718 |
| Tatoeba-test.fin-fkv.fin.fkv 	| 1.8 	| 0.254 |
| Tatoeba-test.fin-hun.fin.hun 	| 45.0 	| 0.672 |
| Tatoeba-test.fin-izh.fin.izh 	| 7.1 	| 0.492 |
| Tatoeba-test.fin-krl.fin.krl 	| 2.6 	| 0.278 |
| Tatoeba-test.fkv-est.fkv.est 	| 0.6 	| 0.099 |
| Tatoeba-test.fkv-fin.fkv.fin 	| 15.5 	| 0.444 |
| Tatoeba-test.fkv-liv.fkv.liv 	| 0.6 	| 0.101 |
| Tatoeba-test.fkv-vep.fkv.vep 	| 0.6 	| 0.113 |
| Tatoeba-test.hun-fin.hun.fin 	| 46.3 	| 0.675 |
| Tatoeba-test.izh-fin.izh.fin 	| 13.4 	| 0.431 |
| Tatoeba-test.izh-krl.izh.krl 	| 2.9 	| 0.078 |
| Tatoeba-test.krl-fin.krl.fin 	| 14.1 	| 0.439 |
| Tatoeba-test.krl-izh.krl.izh 	| 1.0 	| 0.125 |
| Tatoeba-test.liv-fkv.liv.fkv 	| 0.9 	| 0.170 |
| Tatoeba-test.liv-vep.liv.vep 	| 2.6 	| 0.176 |
| Tatoeba-test.multi.multi 	| 32.9 	| 0.580 |
| Tatoeba-test.vep-est.vep.est 	| 3.4 	| 0.265 |
| Tatoeba-test.vep-fkv.vep.fkv 	| 0.9 	| 0.239 |
| Tatoeba-test.vep-liv.vep.liv 	| 2.6 	| 0.190 |


### System Info:


- hf_name: urj-urj
- source_languages: urj
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt
- src_alpha3: urj
- tgt_alpha3: urj
- short_pair: urj-urj
- chrF2_score: 0.58
- bleu: 32.9
- brevity_penalty: 1.0
- ref_len: 19444.0
- src_name: Uralic languages
- tgt_name: Uralic languages
- train_date: 2020-07-27
- src_alpha2: urj
- tgt_alpha2: urj
- prefer_old: False
- long_pair: urj-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-urj-urj


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, se, fi, hu, et, urj, transformers, translation, license:apache-2.0, autonlp_compatible


- eo
- ru


tags:


### epo-rus


* source group: Esperanto
* target group: Russian
* OPUS readme: [epo-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.rus 	| 17.7 	| 0.379 |


- hf_name: epo-rus
- source_languages: epo
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ru']
- src_constituents: {'epo'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: rus
- short_pair: eo-ru
- chrF2_score: 0.379
- bleu: 17.7
- brevity_penalty: 0.9179999999999999
- ref_len: 71288.0
- src_name: Esperanto
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ru
- prefer_old: False
- long_pair: epo-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-ru


tags: pytorch, marian, text2text-generation, eo, ru, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-de-eo


* source languages: de
* target languages: eo
* OPUS readme: [de-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.eo 	| 48.6 	| 0.673 |


model name: opus-mt-de-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, de, eo, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ru-fr


* source languages: ru
* target languages: fr
* OPUS readme: [ru-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.fr 	| 18.3 	| 0.497 |
| newstest2013.ru.fr 	| 21.6 	| 0.516 |
| Tatoeba.ru.fr 	| 51.5 	| 0.670 |


model name: opus-mt-ru-fr


tags: pytorch, jax, marian, text2text-generation, ru, fr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-ru-fi


* source languages: ru
* target languages: fi
* OPUS readme: [ru-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ru.fi 	| 40.1 	| 0.646 |


model name: opus-mt-ru-fi


tags: pytorch, marian, text2text-generation, ru, fi, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- af
- es


- translation


## license: apache-2.0


### afr-spa


* source group: Afrikaans
* target group: Spanish
* OPUS readme: [afr-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-spa/README.md)
* model: transformer-align
* source language(s): afr
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afr.spa 	| 49.9 	| 0.680 |


### System Info:


- hf_name: afr-spa
- source_languages: afr
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['af', 'es']
- src_constituents: {'afr'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-spa/opus-2020-06-17.test.txt
- src_alpha3: afr
- tgt_alpha3: spa
- short_pair: af-es
- chrF2_score: 0.68
- bleu: 49.9
- brevity_penalty: 1.0
- ref_len: 2783.0
- src_name: Afrikaans
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: af
- tgt_alpha2: es
- prefer_old: False
- long_pair: afr-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-af-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, af, es, transformers, translation, license:apache-2.0, autonlp_compatible


- zh
- fi


tags:


### zho-fin


* source group: Chinese
* target group: Finnish
* OPUS readme: [zho-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-fin/README.md)
* model: transformer-align
* source language(s): cmn_Bopo cmn_Hani cmn_Latn nan_Hani yue yue_Hani
* target language(s): fin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-fin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-fin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-fin/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.fin 	| 35.1 	| 0.579 |


- hf_name: zho-fin
- source_languages: zho
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'fi']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-fin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-fin/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: fin
- short_pair: zh-fi
- chrF2_score: 0.579
- bleu: 35.1
- brevity_penalty: 0.935
- ref_len: 1847.0
- src_name: Chinese
- tgt_name: Finnish
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: fi
- prefer_old: False
- long_pair: zho-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-fi


tags: pytorch, marian, text2text-generation, zh, fi, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-es-gaa


* source languages: es
* target languages: gaa
* OPUS readme: [es-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gaa/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gaa/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.gaa 	| 27.8 	| 0.479 |


model name: opus-mt-es-gaa


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, gaa, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-rw


* source languages: sv
* target languages: rw
* OPUS readme: [sv-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.rw 	| 26.7 	| 0.514 |


model name: opus-mt-sv-rw


tags: pytorch, marian, text2text-generation, sv, rw, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- gl


tags:


- translation


## license: apache-2.0


### spa-glg


* source group: Spanish
* target group: Galician
* OPUS readme: [spa-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): glg
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.glg 	| 67.6 	| 0.808 |


### System Info:


- hf_name: spa-glg
- source_languages: spa
- target_languages: glg
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-glg/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'gl']
- src_constituents: {'spa'}
- tgt_constituents: {'glg'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-glg/opus-2020-06-16.test.txt
- src_alpha3: spa
- tgt_alpha3: glg
- short_pair: es-gl
- chrF2_score: 0.8079999999999999
- bleu: 67.6
- brevity_penalty: 0.993
- ref_len: 16581.0
- src_name: Spanish
- tgt_name: Galician
- train_date: 2020-06-16
- src_alpha2: es
- tgt_alpha2: gl
- prefer_old: False
- long_pair: spa-glg
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-gl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, gl, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-tum-en


* source languages: tum
* target languages: en
* OPUS readme: [tum-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tum.en 	| 31.7 	| 0.470 |


model name: opus-mt-tum-en


tags: pytorch, marian, text2text-generation, tum, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-es-da


* source languages: es
* target languages: da
* OPUS readme: [es-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.da 	| 55.7 	| 0.712 |


model name: opus-mt-es-da


tags: pytorch, marian, text2text-generation, es, da, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-lue


* source languages: en
* target languages: lue
* OPUS readme: [en-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.lue 	| 30.1 	| 0.558 |


model name: opus-mt-en-lue


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, lue, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-hr


* source languages: sv
* target languages: hr
* OPUS readme: [sv-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.hr 	| 25.7 	| 0.498 |


model name: opus-mt-sv-hr


tags: pytorch, marian, text2text-generation, sv, hr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-es-ty


* source languages: es
* target languages: ty
* OPUS readme: [es-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ty/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ty 	| 37.3 	| 0.544 |


model name: opus-mt-es-ty


tags: pytorch, marian, text2text-generation, es, ty, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- fi
- en


- translation


## license: apache-2.0


### fin-eng


* source group: Finnish
* target group: English
* OPUS readme: [fin-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md)
* model: transformer-align
* source language(s): fin
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-05.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip)
* test set translations: [opus-2020-08-05.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt)
* test set scores: [opus-2020-08-05.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng 	| 25.3 	| 0.536 |
| newstest2015-enfi-fineng.fin.eng 	| 26.9 	| 0.547 |
| newstest2016-enfi-fineng.fin.eng 	| 29.0 	| 0.571 |
| newstest2017-enfi-fineng.fin.eng 	| 32.3 	| 0.594 |
| newstest2018-enfi-fineng.fin.eng 	| 23.8 	| 0.517 |
| newstest2019-fien-fineng.fin.eng 	| 29.0 	| 0.565 |
| newstestB2016-enfi-fineng.fin.eng 	| 24.5 	| 0.527 |
| newstestB2017-enfi-fineng.fin.eng 	| 27.4 	| 0.557 |
| newstestB2017-fien-fineng.fin.eng 	| 27.4 	| 0.557 |
| Tatoeba-test.fin.eng 	| 53.4 	| 0.697 |


### System Info:


- hf_name: fin-eng
- source_languages: fin
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fi', 'en']
- src_constituents: {'fin'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-eng/opus-2020-08-05.test.txt
- src_alpha3: fin
- tgt_alpha3: eng
- short_pair: fi-en
- chrF2_score: 0.6970000000000001
- bleu: 53.4
- brevity_penalty: 0.99
- ref_len: 74651.0
- src_name: Finnish
- tgt_name: English
- train_date: 2020-08-05
- src_alpha2: fi
- tgt_alpha2: en
- prefer_old: False
- long_pair: fin-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fi-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-ln


* source languages: en
* target languages: ln
* OPUS readme: [en-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ln 	| 36.7 	| 0.588 |


model name: opus-mt-en-ln


tags: pytorch, marian, text2text-generation, en, ln, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-sk


* source languages: fi
* target languages: sk
* OPUS readme: [fi-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sk 	| 28.1 	| 0.501 |


model name: opus-mt-fi-sk


tags: pytorch, marian, text2text-generation, fi, sk, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ja
- he


- translation


## license: apache-2.0


### jpn-heb


* source group: Japanese
* target group: Hebrew
* OPUS readme: [jpn-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.heb 	| 20.2 	| 0.397 |


### System Info:


- hf_name: jpn-heb
- source_languages: jpn
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'he']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: heb
- short_pair: ja-he
- chrF2_score: 0.397
- bleu: 20.2
- brevity_penalty: 1.0
- ref_len: 1598.0
- src_name: Japanese
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: he
- prefer_old: False
- long_pair: jpn-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-he


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ja, he, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-sv


* source languages: en
* target languages: sv
* OPUS readme: [en-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sv 	| 60.1 	| 0.736 |


model name: opus-mt-en-sv


tags: pytorch, rust, marian, text2text-generation, en, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- phi
- en


- translation


## license: apache-2.0


### phi-eng


* source group: Philippine languages
* target group: English
* OPUS readme: [phi-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/phi-eng/README.md)
* model: transformer
* source language(s): akl_Latn ceb hil ilo pag war
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.akl-eng.akl.eng 	| 11.6 	| 0.321 |
| Tatoeba-test.ceb-eng.ceb.eng 	| 21.7 	| 0.393 |
| Tatoeba-test.hil-eng.hil.eng 	| 17.6 	| 0.371 |
| Tatoeba-test.ilo-eng.ilo.eng 	| 36.6 	| 0.560 |
| Tatoeba-test.multi.eng 	| 21.5 	| 0.391 |
| Tatoeba-test.pag-eng.pag.eng 	| 27.5 	| 0.494 |
| Tatoeba-test.war-eng.war.eng 	| 17.3 	| 0.380 |


### System Info:


- hf_name: phi-eng
- source_languages: phi
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/phi-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['phi', 'en']
- src_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/phi-eng/opus2m-2020-08-01.test.txt
- src_alpha3: phi
- tgt_alpha3: eng
- short_pair: phi-en
- chrF2_score: 0.391
- bleu: 21.5
- brevity_penalty: 1.0
- ref_len: 2380.0
- src_name: Philippine languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: phi
- tgt_alpha2: en
- prefer_old: False
- long_pair: phi-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-phi-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, phi, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-wls


* source languages: sv
* target languages: wls
* OPUS readme: [sv-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-wls/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-wls/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.wls 	| 29.0 	| 0.501 |


model name: opus-mt-sv-wls


tags: pytorch, marian, text2text-generation, sv, wls, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- bg
- de


- translation


## license: apache-2.0


### bul-deu


* source group: Bulgarian
* target group: German
* OPUS readme: [bul-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-deu/README.md)
* model: transformer
* source language(s): bul
* target language(s): deu
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.deu 	| 49.3 	| 0.676 |


### System Info:


- hf_name: bul-deu
- source_languages: bul
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'de']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-deu/opus-2020-07-03.test.txt
- src_alpha3: bul
- tgt_alpha3: deu
- short_pair: bg-de
- chrF2_score: 0.6759999999999999
- bleu: 49.3
- brevity_penalty: 1.0
- ref_len: 2218.0
- src_name: Bulgarian
- tgt_name: German
- train_date: 2020-07-03
- src_alpha2: bg
- tgt_alpha2: de
- prefer_old: False
- long_pair: bul-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, bg, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fr-war


* source languages: fr
* target languages: war
* OPUS readme: [fr-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-war/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.war 	| 33.7 	| 0.538 |


model name: opus-mt-fr-war


tags: pytorch, marian, text2text-generation, fr, war, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sl-sv


* source languages: sl
* target languages: sv
* OPUS readme: [sl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sl.sv 	| 27.8 	| 0.509 |


model name: opus-mt-sl-sv


tags: pytorch, marian, text2text-generation, sl, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-sm


* source languages: fi
* target languages: sm
* OPUS readme: [fi-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sm/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sm 	| 24.0 	| 0.443 |


model name: opus-mt-fi-sm


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, sm, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-lu-sv


* source languages: lu
* target languages: sv
* OPUS readme: [lu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lu.sv 	| 25.4 	| 0.435 |


model name: opus-mt-lu-sv


tags: pytorch, marian, text2text-generation, lu, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- is
- de


- translation


## license: apache-2.0


### isl-deu


* source group: Icelandic
* target group: German
* OPUS readme: [isl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md)
* model: transformer-align
* source language(s): isl
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.deu 	| 49.2 	| 0.661 |


### System Info:


- hf_name: isl-deu
- source_languages: isl
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['is', 'de']
- src_constituents: {'isl'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt
- src_alpha3: isl
- tgt_alpha3: deu
- short_pair: is-de
- chrF2_score: 0.6609999999999999
- bleu: 49.2
- brevity_penalty: 0.998
- ref_len: 6265.0
- src_name: Icelandic
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: is
- tgt_alpha2: de
- prefer_old: False
- long_pair: isl-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-is-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, is, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-loz


* source languages: en
* target languages: loz
* OPUS readme: [en-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.loz 	| 40.1 	| 0.596 |


model name: opus-mt-en-loz


tags: pytorch, marian, text2text-generation, en, loz, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sq-es


* source languages: sq
* target languages: es
* OPUS readme: [sq-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.sq.es 	| 23.9 	| 0.510 |


model name: opus-mt-sq-es


tags: pytorch, marian, text2text-generation, sq, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-id-en


* source languages: id
* target languages: en
* OPUS readme: [id-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.id.en 	| 47.7 	| 0.647 |


model name: opus-mt-id-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, id, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-kwn


* source languages: en
* target languages: kwn
* OPUS readme: [en-kwn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwn 	| 27.6 	| 0.513 |


model name: opus-mt-en-kwn


tags: pytorch, marian, text2text-generation, en, kwn, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ko
- es


- translation


## license: apache-2.0


### kor-spa


* source group: Korean
* target group: Spanish
* OPUS readme: [kor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.spa 	| 31.3 	| 0.521 |


### System Info:


- hf_name: kor-spa
- source_languages: kor
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'es']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: spa
- short_pair: ko-es
- chrF2_score: 0.521
- bleu: 31.3
- brevity_penalty: 0.95
- ref_len: 6805.0
- src_name: Korean
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: es
- prefer_old: False
- long_pair: kor-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ko, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ts-fr


* source languages: ts
* target languages: fr
* OPUS readme: [ts-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fr 	| 29.9 	| 0.475 |


model name: opus-mt-ts-fr


tags: pytorch, marian, text2text-generation, ts, fr, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- fr
- ms


- translation


## license: apache-2.0


### fra-msa


* source group: French
* target group: Malay (macrolanguage)
* OPUS readme: [fra-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): ind zsm_Latn
* model: transformer-align
* 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: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.msa 	| 35.3 	| 0.617 |


### System Info:


- hf_name: fra-msa
- source_languages: fra
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ms']
- src_constituents: {'fra'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: msa
- short_pair: fr-ms
- chrF2_score: 0.617
- bleu: 35.3
- brevity_penalty: 0.978
- ref_len: 6696.0
- src_name: French
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: ms
- prefer_old: False
- long_pair: fra-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-ms


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fr, ms, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-es-bcl


* source languages: es
* target languages: bcl
* OPUS readme: [es-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.bcl 	| 37.1 	| 0.586 |


model name: opus-mt-es-bcl


tags: pytorch, marian, text2text-generation, es, bcl, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-sl


* source languages: fr
* target languages: sl
* OPUS readme: [fr-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sl 	| 20.1 	| 0.433 |


model name: opus-mt-fr-sl


tags: pytorch, marian, text2text-generation, fr, sl, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-lue-en


* source languages: lue
* target languages: en
* OPUS readme: [lue-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.en 	| 31.7 	| 0.469 |


model name: opus-mt-lue-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lue, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- vi
- es


tags:


- translation


## license: apache-2.0


### vie-spa


* source group: Vietnamese
* target group: Spanish
* OPUS readme: [vie-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-spa/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.spa 	| 32.9 	| 0.540 |


### System Info:


- hf_name: vie-spa
- source_languages: vie
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'es']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: spa
- short_pair: vi-es
- chrF2_score: 0.54
- bleu: 32.9
- brevity_penalty: 0.953
- ref_len: 3832.0
- src_name: Vietnamese
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: es
- prefer_old: False
- long_pair: vie-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-es


tags: pytorch, marian, text2text-generation, vi, es, transformers, translation, license:apache-2.0, autonlp_compatible


- ab
- ka
- ce
- cau
- en


### cau-eng


* source group: Caucasian languages
* target group: English
* OPUS readme: [cau-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md)
* model: transformer
* source language(s): abk ady che kat
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.abk-eng.abk.eng 	| 0.3 	| 0.134 |
| Tatoeba-test.ady-eng.ady.eng 	| 0.4 	| 0.104 |
| Tatoeba-test.che-eng.che.eng 	| 0.6 	| 0.128 |
| Tatoeba-test.kat-eng.kat.eng 	| 18.6 	| 0.366 |
| Tatoeba-test.multi.eng 	| 16.6 	| 0.351 |


- hf_name: cau-eng
- source_languages: cau
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ab', 'ka', 'ce', 'cau', 'en']
- src_constituents: {'abk', 'kat', 'che', 'ady'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt
- src_alpha3: cau
- tgt_alpha3: eng
- short_pair: cau-en
- chrF2_score: 0.35100000000000003
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 6285.0
- src_name: Caucasian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: cau
- tgt_alpha2: en
- prefer_old: False
- long_pair: cau-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cau-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ab, ka, ce, cau, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-da-fi


* source languages: da
* target languages: fi
* OPUS readme: [da-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.fi 	| 39.0 	| 0.629 |


model name: opus-mt-da-fi


tags: pytorch, marian, text2text-generation, da, fi, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- ga


- translation


## license: apache-2.0


### eng-gle


* source group: English
* target group: Irish
* OPUS readme: [eng-gle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): gle
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.gle 	| 37.5 	| 0.593 |


### System Info:


- hf_name: eng-gle
- source_languages: eng
- target_languages: gle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ga']
- src_constituents: {'eng'}
- tgt_constituents: {'gle'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: gle
- short_pair: en-ga
- chrF2_score: 0.593
- bleu: 37.5
- brevity_penalty: 1.0
- ref_len: 12200.0
- src_name: English
- tgt_name: Irish
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ga
- prefer_old: False
- long_pair: eng-gle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-ga


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, ga, transformers, translation, license:apache-2.0, autonlp_compatible


- uk
- bg


tags:


### ukr-bul


* source group: Ukrainian
* target group: Bulgarian
* OPUS readme: [ukr-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): bul
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.bul 	| 55.7 	| 0.734 |


- hf_name: ukr-bul
- source_languages: ukr
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'bg']
- src_constituents: {'ukr'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: bul
- short_pair: uk-bg
- chrF2_score: 0.7340000000000001
- bleu: 55.7
- brevity_penalty: 0.976
- ref_len: 5181.0
- src_name: Ukrainian
- tgt_name: Bulgarian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ukr-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-bg


tags: pytorch, marian, text2text-generation, uk, bg, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-es-ig


* source languages: es
* target languages: ig
* OPUS readme: [es-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ig/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ig 	| 27.0 	| 0.434 |


model name: opus-mt-es-ig


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, ig, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-et


* source languages: en
* target languages: et
* OPUS readme: [en-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2018-enet.en.et 	| 21.8 	| 0.540 |
| newstest2018-enet.en.et 	| 23.3 	| 0.556 |
| Tatoeba.en.et 	| 54.0 	| 0.717 |


model name: opus-mt-en-et


tags: pytorch, marian, text2text-generation, en, et, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-id-sv


* source languages: id
* target languages: sv
* OPUS readme: [id-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.id.sv 	| 32.7 	| 0.527 |


model name: opus-mt-id-sv


tags: pytorch, marian, text2text-generation, id, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ms


- translation


## license: apache-2.0


### msa-msa


* source group: Malay (macrolanguage)
* target group: Malay (macrolanguage)
* OPUS readme: [msa-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md)
* model: transformer-align
* source language(s): ind max_Latn min zlm_Latn zsm_Latn
* target language(s): ind max_Latn min zlm_Latn zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa.msa 	| 18.6 	| 0.418 |


### System Info:


- hf_name: msa-msa
- source_languages: msa
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ms']
- src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt
- src_alpha3: msa
- tgt_alpha3: msa
- short_pair: ms-ms
- chrF2_score: 0.418
- bleu: 18.6
- brevity_penalty: 1.0
- ref_len: 6029.0
- src_name: Malay (macrolanguage)
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: ms
- tgt_alpha2: ms
- prefer_old: False
- long_pair: msa-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ms-ms


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ms, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-pon-fr


* source languages: pon
* target languages: fr
* OPUS readme: [pon-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fr 	| 24.4 	| 0.410 |


model name: opus-mt-pon-fr


tags: pytorch, marian, text2text-generation, pon, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-lua-fi


* source languages: lua
* target languages: fi
* OPUS readme: [lua-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.fi 	| 23.5 	| 0.450 |


model name: opus-mt-lua-fi


tags: pytorch, marian, text2text-generation, lua, fi, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fr-tpi


* source languages: fr
* target languages: tpi
* OPUS readme: [fr-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tpi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tpi 	| 30.0 	| 0.487 |


model name: opus-mt-fr-tpi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fr, tpi, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- rn


tags:


- translation


## license: apache-2.0


### spa-run


* source group: Spanish
* target group: Rundi
* OPUS readme: [spa-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): run
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.run 	| 10.1 	| 0.410 |


### System Info:


- hf_name: spa-run
- source_languages: spa
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'rn']
- src_constituents: {'spa'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-run/opus-2020-06-16.test.txt
- src_alpha3: spa
- tgt_alpha3: run
- short_pair: es-rn
- chrF2_score: 0.41
- bleu: 10.1
- brevity_penalty: 1.0
- ref_len: 3886.0
- src_name: Spanish
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: es
- tgt_alpha2: rn
- prefer_old: False
- long_pair: spa-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-rn


tags: pytorch, marian, text2text-generation, es, rn, transformers, translation, license:apache-2.0, autonlp_compatible


- lt
- eo


### lit-epo


* source group: Lithuanian
* target group: Esperanto
* OPUS readme: [lit-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.epo 	| 13.0 	| 0.313 |


- hf_name: lit-epo
- source_languages: lit
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'eo']
- src_constituents: {'lit'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt
- src_alpha3: lit
- tgt_alpha3: epo
- short_pair: lt-eo
- chrF2_score: 0.313
- bleu: 13.0
- brevity_penalty: 1.0
- ref_len: 70340.0
- src_name: Lithuanian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: lt
- tgt_alpha2: eo
- prefer_old: False
- long_pair: lit-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lt-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lt, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-pap-fr


* source languages: pap
* target languages: fr
* OPUS readme: [pap-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pap-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pap-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.fr 	| 31.0 	| 0.498 |


model name: opus-mt-pap-fr


tags: pytorch, marian, text2text-generation, pap, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-toi-sv


* source languages: toi
* target languages: sv
* OPUS readme: [toi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.toi.sv 	| 27.0 	| 0.448 |


model name: opus-mt-toi-sv


tags: pytorch, marian, text2text-generation, toi, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-lus


* source languages: en
* target languages: lus
* OPUS readme: [en-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.lus 	| 36.8 	| 0.581 |


model name: opus-mt-en-lus


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, lus, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- el
- grk


tags:


- translation


## license: apache-2.0


### eng-grk


* source group: English
* target group: Greek languages
* OPUS readme: [eng-grk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md)
* model: transformer
* source language(s): eng
* target language(s): ell grc_Grek
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* 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-grk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ell.eng.ell 	| 53.8 	| 0.723 |
| Tatoeba-test.eng-grc.eng.grc 	| 0.1 	| 0.102 |
| Tatoeba-test.eng.multi 	| 45.6 	| 0.677 |


### System Info:


- hf_name: eng-grk
- source_languages: eng
- target_languages: grk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'el', 'grk']
- src_constituents: {'eng'}
- tgt_constituents: {'grc_Grek', 'ell'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: grk
- short_pair: en-grk
- chrF2_score: 0.677
- bleu: 45.6
- brevity_penalty: 1.0
- ref_len: 59951.0
- src_name: English
- tgt_name: Greek languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: grk
- prefer_old: False
- long_pair: eng-grk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-grk


tags: pytorch, marian, text2text-generation, en, el, grk, transformers, translation, license:apache-2.0, autonlp_compatible


- ru
- eo


### rus-epo


* source group: Russian
* target group: Esperanto
* OPUS readme: [rus-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.epo 	| 24.2 	| 0.436 |


- hf_name: rus-epo
- source_languages: rus
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'eo']
- src_constituents: {'rus'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: epo
- short_pair: ru-eo
- chrF2_score: 0.436
- bleu: 24.2
- brevity_penalty: 0.925
- ref_len: 77197.0
- src_name: Russian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: eo
- prefer_old: False
- long_pair: rus-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ru, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-fi-lv


* source languages: fi
* target languages: lv
* OPUS readme: [fi-lv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lv 	| 20.6 	| 0.439 |


model name: opus-mt-fi-lv


tags: pytorch, marian, text2text-generation, fi, lv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-mg


* source languages: fi
* target languages: mg
* OPUS readme: [fi-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mg/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mg 	| 21.7 	| 0.468 |


model name: opus-mt-fi-mg


tags: pytorch, marian, text2text-generation, fi, mg, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- rn


- translation


## license: apache-2.0


### eng-run


* source group: English
* target group: Rundi
* OPUS readme: [eng-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): run
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.run 	| 10.4 	| 0.436 |


### System Info:


- hf_name: eng-run
- source_languages: eng
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'rn']
- src_constituents: {'eng'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: run
- short_pair: en-rn
- chrF2_score: 0.436
- bleu: 10.4
- brevity_penalty: 1.0
- ref_len: 6710.0
- src_name: English
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: rn
- prefer_old: False
- long_pair: eng-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-rn


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, rn, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-af-en


* source languages: af
* target languages: en
* OPUS readme: [af-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/af-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-en/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.af.en 	| 60.8 	| 0.736 |


model name: opus-mt-af-en


tags: pytorch, marian, text2text-generation, af, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-mh-en


* source languages: mh
* target languages: en
* OPUS readme: [mh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mh.en 	| 36.5 	| 0.505 |


model name: opus-mt-mh-en


tags: pytorch, marian, text2text-generation, mh, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- so
- cus


- translation


## license: apache-2.0


### eng-cus


* source group: English
* target group: Cushitic languages
* OPUS readme: [eng-cus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md)
* model: transformer
* source language(s): eng
* target language(s): som
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.multi 	| 16.0 	| 0.173 |
| Tatoeba-test.eng-som.eng.som 	| 16.0 	| 0.173 |


### System Info:


- hf_name: eng-cus
- source_languages: eng
- target_languages: cus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'so', 'cus']
- src_constituents: {'eng'}
- tgt_constituents: {'som'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cus
- short_pair: en-cus
- chrF2_score: 0.17300000000000001
- bleu: 16.0
- brevity_penalty: 1.0
- ref_len: 3.0
- src_name: English
- tgt_name: Cushitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cus
- prefer_old: False
- long_pair: eng-cus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-cus


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, so, cus, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-hil-de


* source languages: hil
* target languages: de
* OPUS readme: [hil-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.eval.txt)


## Benchmarks