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


language:


- es
- ar


tags:


- translation


## license: apache-2.0


### spa-ara


* source group: Spanish
* target group: Arabic
* OPUS readme: [spa-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md)
* model: transformer
* source language(s): spa
* target language(s): apc apc_Latn ara arq
* 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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.ara 	| 20.0 	| 0.517 |


### System Info:


- hf_name: spa-ara
- source_languages: spa
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'ar']
- src_constituents: {'spa'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt
- src_alpha3: spa
- tgt_alpha3: ara
- short_pair: es-ar
- chrF2_score: 0.517
- bleu: 20.0
- brevity_penalty: 0.9390000000000001
- ref_len: 7547.0
- src_name: Spanish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: es
- tgt_alpha2: ar
- prefer_old: False
- long_pair: spa-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-ar


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fr-tum


* source languages: fr
* target languages: tum
* OPUS readme: [fr-tum](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tum/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-tum/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tum 	| 23.0 	| 0.458 |


model name: opus-mt-fr-tum


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


language:


- se
- fi
- hu
- et
- fiu
- en


tags:


- translation


## license: apache-2.0


### fiu-eng


* source group: Finno-Ugrian languages
* target group: English
* OPUS readme: [fiu-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* 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/fiu-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng 	| 22.9 	| 0.513 |
| newsdev2018-enet-esteng.est.eng 	| 26.3 	| 0.543 |
| newssyscomb2009-huneng.hun.eng 	| 21.2 	| 0.494 |
| newstest2009-huneng.hun.eng 	| 19.8 	| 0.486 |
| newstest2015-enfi-fineng.fin.eng 	| 24.1 	| 0.521 |
| newstest2016-enfi-fineng.fin.eng 	| 25.6 	| 0.541 |
| newstest2017-enfi-fineng.fin.eng 	| 28.7 	| 0.560 |
| newstest2018-enet-esteng.est.eng 	| 26.5 	| 0.549 |
| newstest2018-enfi-fineng.fin.eng 	| 21.2 	| 0.490 |
| newstest2019-fien-fineng.fin.eng 	| 25.6 	| 0.533 |
| newstestB2016-enfi-fineng.fin.eng 	| 21.6 	| 0.500 |
| newstestB2017-enfi-fineng.fin.eng 	| 24.3 	| 0.526 |
| newstestB2017-fien-fineng.fin.eng 	| 24.3 	| 0.526 |
| Tatoeba-test.chm-eng.chm.eng 	| 1.2 	| 0.163 |
| Tatoeba-test.est-eng.est.eng 	| 55.3 	| 0.706 |
| Tatoeba-test.fin-eng.fin.eng 	| 48.7 	| 0.660 |
| Tatoeba-test.fkv-eng.fkv.eng 	| 11.5 	| 0.384 |
| Tatoeba-test.hun-eng.hun.eng 	| 46.7 	| 0.638 |
| Tatoeba-test.izh-eng.izh.eng 	| 48.3 	| 0.678 |
| Tatoeba-test.kom-eng.kom.eng 	| 0.7 	| 0.113 |
| Tatoeba-test.krl-eng.krl.eng 	| 36.1 	| 0.485 |
| Tatoeba-test.liv-eng.liv.eng 	| 2.1 	| 0.086 |
| Tatoeba-test.mdf-eng.mdf.eng 	| 0.9 	| 0.120 |
| Tatoeba-test.multi.eng 	| 47.8 	| 0.648 |
| Tatoeba-test.myv-eng.myv.eng 	| 0.7 	| 0.121 |
| Tatoeba-test.sma-eng.sma.eng 	| 1.7 	| 0.101 |
| Tatoeba-test.sme-eng.sme.eng 	| 7.8 	| 0.229 |
| Tatoeba-test.udm-eng.udm.eng 	| 0.9 	| 0.166 |


### System Info:


- hf_name: fiu-eng
- source_languages: fiu
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt
- src_alpha3: fiu
- tgt_alpha3: eng
- short_pair: fiu-en
- chrF2_score: 0.648
- bleu: 47.8
- brevity_penalty: 0.988
- ref_len: 71020.0
- src_name: Finno-Ugrian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: fiu
- tgt_alpha2: en
- prefer_old: False
- long_pair: fiu-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fiu-en


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-bcl-fi


* source languages: bcl
* target languages: fi
* OPUS readme: [bcl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-fi/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.fi 	| 33.3 	| 0.573 |


model name: opus-mt-bcl-fi


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


tags:


### opus-mt-sv-hu


* source languages: sv
* target languages: hu
* OPUS readme: [sv-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hu/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/sv-hu/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hu/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-hu/opus-2020-01-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.hu 	| 44.6 	| 0.660 |


model name: opus-mt-sv-hu


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


### opus-mt-fr-rw


* source languages: fr
* target languages: rw
* OPUS readme: [fr-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-rw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rw 	| 25.5 	| 0.483 |


model name: opus-mt-fr-rw


model author: Helsinki-NLP


task: translation


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


language:


- ko
- fr


- translation


## license: apache-2.0


### kor-fra


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.fra 	| 30.4 	| 0.503 |


### System Info:


- hf_name: kor-fra
- source_languages: kor
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'fr']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: fra
- short_pair: ko-fr
- chrF2_score: 0.503
- bleu: 30.4
- brevity_penalty: 0.9179999999999999
- ref_len: 2714.0
- src_name: Korean
- tgt_name: French
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: fr
- prefer_old: False
- long_pair: kor-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-fr


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


tags:


- translation
license: apache-2.0


### opus-mt-pag-es


* source languages: pag
* target languages: es
* OPUS readme: [pag-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pag.es 	| 27.9 	| 0.459 |


model name: opus-mt-pag-es


model author: Helsinki-NLP


task: translation


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


language:


- en
- es


- translation


## license: apache-2.0


### eng-spa


* source group: English
* target group: Spanish
* OPUS readme: [eng-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md)
* model: transformer
* source language(s): eng
* target language(s): spa
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engspa.eng.spa 	| 31.0 	| 0.583 |
| news-test2008-engspa.eng.spa 	| 29.7 	| 0.564 |
| newstest2009-engspa.eng.spa 	| 30.2 	| 0.578 |
| newstest2010-engspa.eng.spa 	| 36.9 	| 0.620 |
| newstest2011-engspa.eng.spa 	| 38.2 	| 0.619 |
| newstest2012-engspa.eng.spa 	| 39.0 	| 0.625 |
| newstest2013-engspa.eng.spa 	| 35.0 	| 0.598 |
| Tatoeba-test.eng.spa 	| 54.9 	| 0.721 |


### System Info:


- hf_name: eng-spa
- source_languages: eng
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'es']
- src_constituents: {'eng'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt
- src_alpha3: eng
- tgt_alpha3: spa
- short_pair: en-es
- chrF2_score: 0.721
- bleu: 54.9
- brevity_penalty: 0.978
- ref_len: 77311.0
- src_name: English
- tgt_name: Spanish
- train_date: 2020-08-18 00:00:00
- src_alpha2: en
- tgt_alpha2: es
- prefer_old: False
- long_pair: eng-spa
- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
- port_machine: brutasse
- port_time: 2020-08-24-18:20


model name: opus-mt-en-es


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


tags:


- translation
license: apache-2.0


### opus-mt-en-ny


* source languages: en
* target languages: ny
* OPUS readme: [en-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ny/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-ny/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ny 	| 31.4 	| 0.570 |
| Tatoeba.en.ny 	| 26.8 	| 0.645 |


model name: opus-mt-en-ny


model author: Helsinki-NLP


task: translation


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


language:


- rn
- en


- translation


## license: apache-2.0


### run-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.eng 	| 26.7 	| 0.428 |


### System Info:


- hf_name: run-eng
- source_languages: run
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'en']
- src_constituents: {'run'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: eng
- short_pair: rn-en
- chrF2_score: 0.428
- bleu: 26.7
- brevity_penalty: 0.99
- ref_len: 10041.0
- src_name: Rundi
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: en
- prefer_old: False
- long_pair: run-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-rn-en


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


tags:


- translation
license: apache-2.0


### opus-mt-zne-fr


* source languages: zne
* target languages: fr
* OPUS readme: [zne-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/zne-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/zne-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/zne-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/zne-fr/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.zne.fr 	| 25.3 	| 0.416 |


model name: opus-mt-zne-fr


model author: Helsinki-NLP


task: translation


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


### opus-mt-mt-fr


* source languages: mt
* target languages: fr
* OPUS readme: [mt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-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/mt-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.fr 	| 27.2 	| 0.475 |


model name: opus-mt-mt-fr


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


### opus-mt-es-tpi


* source languages: es
* target languages: tpi
* OPUS readme: [es-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tpi/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-tpi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tpi/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tpi 	| 27.0 	| 0.472 |


model name: opus-mt-es-tpi


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-mt


* source languages: sv
* target languages: mt
* OPUS readme: [sv-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mt/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-mt/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mt/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mt/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mt 	| 32.2 	| 0.509 |


model name: opus-mt-sv-mt


model author: Helsinki-NLP


task: translation


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


### opus-mt-tw-fi


* source languages: tw
* target languages: fi
* OPUS readme: [tw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fi/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/tw-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tw.fi 	| 25.6 	| 0.488 |


model name: opus-mt-tw-fi


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


language:


- no
- pl


tags:


- translation


## license: apache-2.0


### nor-pol


* source group: Norwegian
* target group: Polish
* OPUS readme: [nor-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md)
* model: transformer-align
* source language(s): nob
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.pol 	| 20.9 	| 0.455 |


### System Info:


- hf_name: nor-pol
- source_languages: nor
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'pl']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: pol
- short_pair: no-pl
- chrF2_score: 0.455
- bleu: 20.9
- brevity_penalty: 0.941
- ref_len: 1828.0
- src_name: Norwegian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: pl
- prefer_old: False
- long_pair: nor-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-pl


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, no, pl, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-pap


* source languages: sv
* target languages: pap
* OPUS readme: [sv-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pap/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/sv-pap/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pap 	| 31.0 	| 0.505 |


model name: opus-mt-sv-pap


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


tags:


### opus-mt-es-es


* source languages: es
* target languages: es
* OPUS readme: [es-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-es/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/es-es/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.es 	| 51.7 	| 0.688 |


model name: opus-mt-es-es


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


language:


- bg
- fr


- translation


## license: apache-2.0


### bul-fra


* source group: Bulgarian
* target group: French
* OPUS readme: [bul-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-fra/README.md)
* model: transformer
* source language(s): bul
* target language(s): fra
* 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-fra/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.fra 	| 53.7 	| 0.693 |


### System Info:


- hf_name: bul-fra
- source_languages: bul
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'fr']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-fra/opus-2020-07-03.test.txt
- src_alpha3: bul
- tgt_alpha3: fra
- short_pair: bg-fr
- chrF2_score: 0.693
- bleu: 53.7
- brevity_penalty: 0.977
- ref_len: 3669.0
- src_name: Bulgarian
- tgt_name: French
- train_date: 2020-07-03
- src_alpha2: bg
- tgt_alpha2: fr
- prefer_old: False
- long_pair: bul-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-cs-de


* source languages: cs
* target languages: de
* OPUS readme: [cs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.cs.de 	| 22.0 	| 0.525 |
| news-test2008.cs.de 	| 21.1 	| 0.520 |
| newstest2009.cs.de 	| 22.2 	| 0.525 |
| newstest2010.cs.de 	| 22.1 	| 0.527 |
| newstest2011.cs.de 	| 21.6 	| 0.515 |
| newstest2012.cs.de 	| 22.2 	| 0.516 |
| newstest2013.cs.de 	| 24.8 	| 0.538 |
| newstest2019-csde.cs.de 	| 23.6 	| 0.530 |
| Tatoeba.cs.de 	| 51.6 	| 0.687 |


model name: opus-mt-cs-de


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


language:


- ru
- et


- translation


## license: apache-2.0


### rus-est


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.est 	| 57.5 	| 0.749 |


### System Info:


- hf_name: rus-est
- source_languages: rus
- target_languages: est
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-est/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'et']
- src_constituents: {'rus'}
- tgt_constituents: {'est'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: est
- short_pair: ru-et
- chrF2_score: 0.7490000000000001
- bleu: 57.5
- brevity_penalty: 0.975
- ref_len: 3572.0
- src_name: Russian
- tgt_name: Estonian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: et
- prefer_old: False
- long_pair: rus-est
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-et


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-ee


* source languages: sv
* target languages: ee
* OPUS readme: [sv-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ee/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-ee/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ee/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ee 	| 29.7 	| 0.508 |


model name: opus-mt-sv-ee


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


language:


- da
- ru


- translation


## license: apache-2.0


### dan-rus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.rus 	| 52.5 	| 0.715 |


### System Info:


- hf_name: dan-rus
- source_languages: dan
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'ru']
- src_constituents: {'dan'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt
- src_alpha3: dan
- tgt_alpha3: rus
- short_pair: da-ru
- chrF2_score: 0.715
- bleu: 52.5
- brevity_penalty: 0.991
- ref_len: 10480.0
- src_name: Danish
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: da
- tgt_alpha2: ru
- prefer_old: False
- long_pair: dan-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-da-ru


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-hi-en


* source languages: hi
* target languages: en
* OPUS readme: [hi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hi-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/hi-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hi-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hi-en/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014.hi.en 	| 9.1 	| 0.357 |
| newstest2014-hien.hi.en 	| 13.6 	| 0.409 |
| Tatoeba.hi.en 	| 40.4 	| 0.580 |


model name: opus-mt-hi-en


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


language:


- az
- tr


- translation


## license: apache-2.0


### aze-tur


* source group: Azerbaijani
* target group: Turkish
* OPUS readme: [aze-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md)
* model: transformer-align
* source language(s): aze_Latn
* target language(s): tur
* 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/aze-tur/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.aze.tur 	| 24.4 	| 0.529 |


### System Info:


- hf_name: aze-tur
- source_languages: aze
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aze-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['az', 'tr']
- src_constituents: {'aze_Latn'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aze-tur/opus-2020-06-16.test.txt
- src_alpha3: aze
- tgt_alpha3: tur
- short_pair: az-tr
- chrF2_score: 0.529
- bleu: 24.4
- brevity_penalty: 0.956
- ref_len: 5380.0
- src_name: Azerbaijani
- tgt_name: Turkish
- train_date: 2020-06-16
- src_alpha2: az
- tgt_alpha2: tr
- prefer_old: False
- long_pair: aze-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-az-tr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-bem-es


* source languages: bem
* target languages: es
* OPUS readme: [bem-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-es/opus-2020-01-15.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.es 	| 22.8 	| 0.403 |


model name: opus-mt-bem-es


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


### opus-mt-tr-en


* source languages: tr
* target languages: en
* OPUS readme: [tr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-en/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/tr-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr.tr.en 	| 27.6 	| 0.548 |
| newstest2016-entr.tr.en 	| 25.2 	| 0.532 |
| newstest2017-entr.tr.en 	| 24.7 	| 0.530 |
| newstest2018-entr.tr.en 	| 27.0 	| 0.547 |
| Tatoeba.tr.en 	| 63.5 	| 0.760 |


model name: opus-mt-tr-en


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


### opus-mt-kl-en


* source languages: kl
* target languages: en
* OPUS readme: [kl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kl-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/kl-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kl.en 	| 26.4 	| 0.432 |
| Tatoeba.kl.en 	| 35.5 	| 0.443 |


model name: opus-mt-kl-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-prl


* source languages: es
* target languages: prl
* OPUS readme: [es-prl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-prl/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-prl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-prl/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.prl 	| 92.2 	| 0.950 |


model name: opus-mt-es-prl


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


### opus-mt-lu-fr


* source languages: lu
* target languages: fr
* OPUS readme: [lu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fr/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/lu-fr/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lu.fr 	| 26.4 	| 0.431 |


model name: opus-mt-lu-fr


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


### opus-mt-lua-en


* source languages: lua
* target languages: en
* OPUS readme: [lua-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.en 	| 34.4 	| 0.502 |


model name: opus-mt-lua-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-hr


* source languages: de
* target languages: hr
* OPUS readme: [de-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hr/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/de-hr/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.hr 	| 42.6 	| 0.643 |


model name: opus-mt-de-hr


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


### opus-mt-gaa-es


* source languages: gaa
* target languages: es
* OPUS readme: [gaa-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-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/gaa-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.es 	| 28.6 	| 0.463 |


model name: opus-mt-gaa-es


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


### opus-mt-en-nso


* source languages: en
* target languages: nso
* OPUS readme: [en-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nso/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-nso/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.nso 	| 52.2 	| 0.684 |


model name: opus-mt-en-nso


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-zne


* source languages: fi
* target languages: zne
* OPUS readme: [fi-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-zne/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/fi-zne/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.zne 	| 22.7 	| 0.464 |


model name: opus-mt-fi-zne


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


language:


- fi
- eo


- translation


## license: apache-2.0


### fin-epo


* source group: Finnish
* target group: Esperanto
* OPUS readme: [fin-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md)
* model: transformer-align
* source language(s): fin
* 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/fin-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fin.epo 	| 22.5 	| 0.413 |


### System Info:


- hf_name: fin-epo
- source_languages: fin
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fin-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fi', 'eo']
- src_constituents: {'fin'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fin-epo/opus-2020-06-16.test.txt
- src_alpha3: fin
- tgt_alpha3: epo
- short_pair: fi-eo
- chrF2_score: 0.413
- bleu: 22.5
- brevity_penalty: 0.9490000000000001
- ref_len: 18881.0
- src_name: Finnish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: fi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: fin-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fi-eo


model author: Helsinki-NLP


task: translation


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


- bn
- or
- gu
- mr
- ur
- hi
- ps
- os
- as
- si
- iir
- en


tags:


### iir-eng


* source group: Indo-Iranian languages
* target group: English
* OPUS readme: [iir-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-eng/README.md)
* model: transformer
* source language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd zza
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-hineng.hin.eng 	| 8.1 	| 0.324 |
| newsdev2019-engu-gujeng.guj.eng 	| 8.1 	| 0.309 |
| newstest2014-hien-hineng.hin.eng 	| 12.1 	| 0.380 |
| newstest2019-guen-gujeng.guj.eng 	| 6.0 	| 0.280 |
| Tatoeba-test.asm-eng.asm.eng 	| 13.9 	| 0.327 |
| Tatoeba-test.awa-eng.awa.eng 	| 7.0 	| 0.219 |
| Tatoeba-test.ben-eng.ben.eng 	| 42.5 	| 0.576 |
| Tatoeba-test.bho-eng.bho.eng 	| 27.3 	| 0.452 |
| Tatoeba-test.fas-eng.fas.eng 	| 5.6 	| 0.262 |
| Tatoeba-test.guj-eng.guj.eng 	| 15.9 	| 0.350 |
| Tatoeba-test.hif-eng.hif.eng 	| 10.1 	| 0.247 |
| Tatoeba-test.hin-eng.hin.eng 	| 36.5 	| 0.544 |
| Tatoeba-test.jdt-eng.jdt.eng 	| 11.4 	| 0.094 |
| Tatoeba-test.kok-eng.kok.eng 	| 6.6 	| 0.256 |
| Tatoeba-test.kur-eng.kur.eng 	| 3.4 	| 0.149 |
| Tatoeba-test.lah-eng.lah.eng 	| 17.4 	| 0.301 |
| Tatoeba-test.mai-eng.mai.eng 	| 65.4 	| 0.703 |
| Tatoeba-test.mar-eng.mar.eng 	| 22.5 	| 0.468 |
| Tatoeba-test.multi.eng 	| 21.3 	| 0.424 |
| Tatoeba-test.nep-eng.nep.eng 	| 3.4 	| 0.185 |
| Tatoeba-test.ori-eng.ori.eng 	| 4.8 	| 0.244 |
| Tatoeba-test.oss-eng.oss.eng 	| 1.6 	| 0.173 |
| Tatoeba-test.pan-eng.pan.eng 	| 14.8 	| 0.348 |
| Tatoeba-test.pus-eng.pus.eng 	| 1.1 	| 0.182 |
| Tatoeba-test.rom-eng.rom.eng 	| 2.8 	| 0.185 |
| Tatoeba-test.san-eng.san.eng 	| 2.8 	| 0.185 |
| Tatoeba-test.sin-eng.sin.eng 	| 22.8 	| 0.474 |
| Tatoeba-test.snd-eng.snd.eng 	| 8.2 	| 0.287 |
| Tatoeba-test.tgk-eng.tgk.eng 	| 11.9 	| 0.321 |
| Tatoeba-test.tly-eng.tly.eng 	| 0.9 	| 0.076 |
| Tatoeba-test.urd-eng.urd.eng 	| 23.9 	| 0.438 |
| Tatoeba-test.zza-eng.zza.eng 	| 0.6 	| 0.098 |


- hf_name: iir-eng
- source_languages: iir
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en']
- src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.test.txt
- src_alpha3: iir
- tgt_alpha3: eng
- short_pair: iir-en
- chrF2_score: 0.424
- bleu: 21.3
- brevity_penalty: 1.0
- ref_len: 67026.0
- src_name: Indo-Iranian languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: iir
- tgt_alpha2: en
- prefer_old: False
- long_pair: iir-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-iir-en


tags: pytorch, marian, text2text-generation, bn, or, gu, mr, ur, hi, ps, os, as, si, iir, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- zh
- de


- translation


## license: apache-2.0


### zho-deu


* source group: Chinese
* target group: German
* OPUS readme: [zho-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-deu/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Hira cmn_Kana cmn_Latn lzh_Hani wuu_Hani yue_Hani
* 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/zho-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-deu/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.deu 	| 32.1 	| 0.522 |


### System Info:


- hf_name: zho-deu
- source_languages: zho
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'de']
- 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: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-deu/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: deu
- short_pair: zh-de
- chrF2_score: 0.522
- bleu: 32.1
- brevity_penalty: 0.9540000000000001
- ref_len: 19102.0
- src_name: Chinese
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: de
- prefer_old: False
- long_pair: zho-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-de


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-sm


* source languages: en
* target languages: sm
* OPUS readme: [en-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sm/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-sm/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.sm 	| 40.1 	| 0.585 |


model name: opus-mt-en-sm


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


### opus-mt-pag-en


* source languages: pag
* target languages: en
* OPUS readme: [pag-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-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/pag-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-en/opus-2020-01-21.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pag.en 	| 42.4 	| 0.580 |


model name: opus-mt-pag-en


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


### opus-mt-es-iso


* source languages: es
* target languages: iso
* OPUS readme: [es-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-iso/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-iso/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-iso/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.iso 	| 22.4 	| 0.396 |


model name: opus-mt-es-iso


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-tzo


* source languages: es
* target languages: tzo
* OPUS readme: [es-tzo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tzo/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-tzo/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-tzo/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tzo 	| 22.6 	| 0.469 |


model name: opus-mt-es-tzo


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


### opus-mt-es-aed


* source languages: es
* target languages: aed
* OPUS readme: [es-aed](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-aed/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-aed/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.aed 	| 89.2 	| 0.915 |


model name: opus-mt-es-aed


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


### opus-mt-sv-th


* source languages: sv
* target languages: th
* OPUS readme: [sv-th](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-th/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-th/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-th/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-th/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.th 	| 21.2 	| 0.373 |


model name: opus-mt-sv-th


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-st-es


* source languages: st
* target languages: es
* OPUS readme: [st-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-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/st-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-es/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.st.es 	| 31.3 	| 0.499 |


model name: opus-mt-st-es


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


### opus-mt-en-ts


* source languages: en
* target languages: ts
* OPUS readme: [en-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ts/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-ts/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ts 	| 43.4 	| 0.639 |


model name: opus-mt-en-ts


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


language:


- ht
- cpf
- en


- translation


## license: apache-2.0


### cpf-eng


* source group: Creoles and pidgins, French‑based
* target group: English
* OPUS readme: [cpf-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md)
* model: transformer
* source language(s): gcf_Latn hat mfe
* 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/cpf-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.gcf-eng.gcf.eng 	| 8.4 	| 0.229 |
| Tatoeba-test.hat-eng.hat.eng 	| 28.0 	| 0.421 |
| Tatoeba-test.mfe-eng.mfe.eng 	| 66.0 	| 0.808 |
| Tatoeba-test.multi.eng 	| 16.3 	| 0.323 |


### System Info:


- hf_name: cpf-eng
- source_languages: cpf
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ht', 'cpf', 'en']
- src_constituents: {'gcf_Latn', 'hat', '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/cpf-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt
- src_alpha3: cpf
- tgt_alpha3: eng
- short_pair: cpf-en
- chrF2_score: 0.32299999999999995
- bleu: 16.3
- brevity_penalty: 1.0
- ref_len: 990.0
- src_name: Creoles and pidgins, French‑based
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: cpf
- tgt_alpha2: en
- prefer_old: False
- long_pair: cpf-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cpf-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-efi-fr


* source languages: efi
* target languages: fr
* OPUS readme: [efi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fr/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/efi-fr/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fr 	| 25.1 	| 0.419 |


model name: opus-mt-efi-fr


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


### opus-mt-pag-fi


* source languages: pag
* target languages: fi
* OPUS readme: [pag-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-fi/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/pag-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pag.fi 	| 26.7 	| 0.496 |


model name: opus-mt-pag-fi


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


### opus-mt-fr-tw


* source languages: fr
* target languages: tw
* OPUS readme: [fr-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tw/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-tw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tw 	| 27.9 	| 0.469 |


model name: opus-mt-fr-tw


model author: Helsinki-NLP


task: translation


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


language:


- so
- ti
- am
- he
- mt
- ar
- afa
- en


tags:


- translation


## license: apache-2.0


### afa-eng


* source group: Afro-Asiatic languages
* target group: English
* OPUS readme: [afa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md)
* model: transformer
* source language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
* 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/afa-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.amh-eng.amh.eng 	| 35.9 	| 0.550 |
| Tatoeba-test.ara-eng.ara.eng 	| 36.6 	| 0.543 |
| Tatoeba-test.hau-eng.hau.eng 	| 11.9 	| 0.327 |
| Tatoeba-test.heb-eng.heb.eng 	| 42.7 	| 0.591 |
| Tatoeba-test.kab-eng.kab.eng 	| 4.3 	| 0.213 |
| Tatoeba-test.mlt-eng.mlt.eng 	| 44.3 	| 0.618 |
| Tatoeba-test.multi.eng 	| 27.1 	| 0.464 |
| Tatoeba-test.rif-eng.rif.eng 	| 3.5 	| 0.141 |
| Tatoeba-test.shy-eng.shy.eng 	| 0.6 	| 0.125 |
| Tatoeba-test.som-eng.som.eng 	| 23.6 	| 0.472 |
| Tatoeba-test.tir-eng.tir.eng 	| 13.1 	| 0.328 |


### System Info:


- hf_name: afa-eng
- source_languages: afa
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afa-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa', 'en']
- src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-eng/opus2m-2020-07-31.test.txt
- src_alpha3: afa
- tgt_alpha3: eng
- short_pair: afa-en
- chrF2_score: 0.46399999999999997
- bleu: 27.1
- brevity_penalty: 1.0
- ref_len: 69373.0
- src_name: Afro-Asiatic languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: afa
- tgt_alpha2: en
- prefer_old: False
- long_pair: afa-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-afa-en


tags: pytorch, marian, text2text-generation, so, ti, am, he, mt, ar, afa, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-gil-es


* source languages: gil
* target languages: es
* OPUS readme: [gil-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-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/gil-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.es 	| 21.8 	| 0.398 |


model name: opus-mt-gil-es


model author: Helsinki-NLP


task: translation


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


language:


- en
- map


tags:


- translation


## license: apache-2.0


### eng-map


* source group: English
* target group: Austronesian languages
* OPUS readme: [eng-map](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 2.2 	| 0.103 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.7 	| 0.425 |
| Tatoeba-test.eng-cha.eng.cha 	| 3.2 	| 0.201 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.5 	| 0.120 |
| Tatoeba-test.eng-fij.eng.fij 	| 26.8 	| 0.453 |
| Tatoeba-test.eng-gil.eng.gil 	| 59.3 	| 0.762 |
| Tatoeba-test.eng-haw.eng.haw 	| 1.0 	| 0.116 |
| Tatoeba-test.eng-hil.eng.hil 	| 19.0 	| 0.517 |
| Tatoeba-test.eng-iba.eng.iba 	| 15.5 	| 0.400 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.6 	| 0.591 |
| Tatoeba-test.eng-jav.eng.jav 	| 7.8 	| 0.301 |
| Tatoeba-test.eng-lkt.eng.lkt 	| 1.0 	| 0.064 |
| Tatoeba-test.eng-mad.eng.mad 	| 1.1 	| 0.142 |
| Tatoeba-test.eng-mah.eng.mah 	| 9.1 	| 0.374 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 35.4 	| 0.526 |
| Tatoeba-test.eng-mri.eng.mri 	| 7.6 	| 0.309 |
| Tatoeba-test.eng-msa.eng.msa 	| 31.1 	| 0.565 |
| Tatoeba-test.eng.multi 	| 17.6 	| 0.411 |
| Tatoeba-test.eng-nau.eng.nau 	| 1.4 	| 0.098 |
| Tatoeba-test.eng-niu.eng.niu 	| 40.1 	| 0.560 |
| Tatoeba-test.eng-pag.eng.pag 	| 16.8 	| 0.526 |
| Tatoeba-test.eng-pau.eng.pau 	| 1.9 	| 0.139 |
| Tatoeba-test.eng-rap.eng.rap 	| 2.7 	| 0.090 |
| Tatoeba-test.eng-smo.eng.smo 	| 24.9 	| 0.453 |
| Tatoeba-test.eng-sun.eng.sun 	| 33.2 	| 0.439 |
| Tatoeba-test.eng-tah.eng.tah 	| 12.5 	| 0.278 |
| Tatoeba-test.eng-tet.eng.tet 	| 1.6 	| 0.140 |
| Tatoeba-test.eng-ton.eng.ton 	| 25.8 	| 0.530 |
| Tatoeba-test.eng-tvl.eng.tvl 	| 31.1 	| 0.523 |
| Tatoeba-test.eng-war.eng.war 	| 12.8 	| 0.436 |


### System Info:


- hf_name: eng-map
- source_languages: eng
- target_languages: map
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'map']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: map
- short_pair: en-map
- chrF2_score: 0.41100000000000003
- bleu: 17.6
- brevity_penalty: 1.0
- ref_len: 66963.0
- src_name: English
- tgt_name: Austronesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: map
- prefer_old: False
- long_pair: eng-map
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-map


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


- translation
license: apache-2.0


### opus-mt-st-en


* source languages: st
* target languages: en
* OPUS readme: [st-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-en/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/st-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/st-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.st.en 	| 45.7 	| 0.609 |


model name: opus-mt-st-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-de-ee


* source languages: de
* target languages: ee
* OPUS readme: [de-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ee/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-ee/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ee 	| 24.6 	| 0.463 |


model name: opus-mt-de-ee


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


language:


- bg
- ru


- translation


## license: apache-2.0


### bul-rus


* source group: Bulgarian
* target group: Russian
* OPUS readme: [bul-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-rus/README.md)
* model: transformer
* source language(s): bul bul_Latn
* target language(s): rus
* 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-rus/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.rus 	| 48.5 	| 0.691 |


### System Info:


- hf_name: bul-rus
- source_languages: bul
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'ru']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-rus/opus-2020-07-03.test.txt
- src_alpha3: bul
- tgt_alpha3: rus
- short_pair: bg-ru
- chrF2_score: 0.691
- bleu: 48.5
- brevity_penalty: 1.0
- ref_len: 7870.0
- src_name: Bulgarian
- tgt_name: Russian
- train_date: 2020-07-03
- src_alpha2: bg
- tgt_alpha2: ru
- prefer_old: False
- long_pair: bul-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-ru


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-uk-fr


* source languages: uk
* target languages: fr
* OPUS readme: [uk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-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/uk-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.fr 	| 52.1 	| 0.681 |


model name: opus-mt-uk-fr


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


### opus-mt-es-gil


* source languages: es
* target languages: gil
* OPUS readme: [es-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-gil/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-gil/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-gil/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.gil 	| 23.8 	| 0.470 |


model name: opus-mt-es-gil


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


### opus-mt-ja-fi


* source languages: ja
* target languages: fi
* OPUS readme: [ja-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-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/ja-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fi 	| 21.2 	| 0.448 |


model name: opus-mt-ja-fi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-niu-en


* source languages: niu
* target languages: en
* OPUS readme: [niu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-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/niu-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-en/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.niu.en 	| 46.1 	| 0.604 |


model name: opus-mt-niu-en


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


### opus-mt-en-fj


* source languages: en
* target languages: fj
* OPUS readme: [en-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fj/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-fj/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.fj 	| 34.0 	| 0.561 |
| Tatoeba.en.fj 	| 62.5 	| 0.781 |


model name: opus-mt-en-fj


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


### opus-mt-kqn-es


* source languages: kqn
* target languages: es
* OPUS readme: [kqn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.es 	| 20.9 	| 0.378 |


model name: opus-mt-kqn-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-xh


* source languages: es
* target languages: xh
* OPUS readme: [es-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-xh/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-xh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-xh/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.xh 	| 25.0 	| 0.541 |


model name: opus-mt-es-xh


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


### opus-mt-sv-lv


* source languages: sv
* target languages: lv
* OPUS readme: [sv-lv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-lv/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-lv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-lv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lv 	| 20.2 	| 0.433 |


model name: opus-mt-sv-lv


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


### opus-mt-fr-tiv


* source languages: fr
* target languages: tiv
* OPUS readme: [fr-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tiv/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-tiv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tiv 	| 23.5 	| 0.406 |


model name: opus-mt-fr-tiv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-crs-es


* source languages: crs
* target languages: es
* OPUS readme: [crs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.crs.es 	| 26.1 	| 0.445 |


model name: opus-mt-crs-es


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


Results:
{'exact_match': 76.82119205298014, 'f1': 84.69734248389383}


model name: bert-medium-finetuned-squad


model author: anas-awadalla


task: question-answering


tags: pytorch, bert, question-answering, transformers, autonlp_compatible, infinity_compatible


license: mit
tags:


- generated_from_trainer
datasets:
- squad
model-index:
- name: bert_medium_pretrain_squad
results: []


<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->


# bert_medium_pretrain_squad


This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on the squad dataset.
It achieves the following results on the evaluation set:


- Loss: 0.0973


## Model description


More information needed


## Intended uses & limitations


## Training and evaluation data


## Training procedure


### Training hyperparameters


The following hyperparameters were used during training:


- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0


### Training results


### Framework versions


- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.0
- Tokenizers 0.10.3


model name: bert-medium-pretrained-on-squad


model author: anas-awadalla


task: fill-mask


tags: pytorch, bert, fill-mask, dataset:squad, transformers, license:mit, generated_from_trainer, model-index, autonlp_compatible, infinity_compatible


license: mit
tags:


- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-small-pretrained-finetuned-squad
results: []


# bert-small-pretrained-finetuned-squad


This model is a fine-tuned version of [anas-awadalla/bert-small-pretrained-on-squad](https://huggingface.co/anas-awadalla/bert-small-pretrained-on-squad) on the squad dataset.


- "exact_match": 72.20435193945127
- "f1": 81.31832229156294


## Model description


More information needed


## Intended uses & limitations


## Training and evaluation data


## Training procedure


### Training hyperparameters


### Training results


### Framework versions


model name: bert-small-pretrained-finetuned-squad


model author: anas-awadalla


task: question-answering


tags: pytorch, bert, question-answering, dataset:squad, transformers, license:mit, generated_from_trainer, model-index, autonlp_compatible, infinity_compatible


tags:


- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-small-finetuned-squad
results: []


# bert-small-finetuned-squad


This model is a fine-tuned version of [prajjwal1/bert-small](https://huggingface.co/prajjwal1/bert-small) on the squad dataset.
It achieves the following results on the evaluation set:


- eval_loss: 1.3138
- eval_runtime: 46.6577
- eval_samples_per_second: 231.13
- eval_steps_per_second: 14.446
- epoch: 4.0
- step: 22132


{'exact_match': 71.05960264900662, 'f1': 80.8260245470904}


## Model description


More information needed


## Intended uses & limitations


## Training and evaluation data


## Training procedure


### Training hyperparameters


- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20


### Framework versions


- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.10.3


model name: bert-small-finetuned-squad


model author: anas-awadalla


task: question-answering


tags: pytorch, tensorboard, bert, question-answering, dataset:squad, transformers, generated_from_trainer, model-index, autonlp_compatible, infinity_compatible


license: mit
tags:


- generated_from_trainer
datasets:
- squad
model-index:
- name: bert_small_pretrain_squad
results: []


<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->


# bert_small_pretrain_squad


- Loss: 0.1410


## Model description


More information needed


## Intended uses & limitations


## Training and evaluation data


## Training procedure


### Training hyperparameters


The following hyperparameters were used during training:


- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0


### Training results


### Framework versions


- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.0
- Tokenizers 0.10.3


model name: bert-small-pretrained-on-squad


model author: anas-awadalla


task: fill-mask


tags: pytorch, bert, fill-mask, dataset:squad, transformers, license:mit, generated_from_trainer, model-index, autonlp_compatible, infinity_compatible


license: mit
tags:


- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-tiny-finetuned-squad
results: []


# bert-tiny-finetuned-squad


This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the squad dataset.
It achieves the following results on the evaluation set:


- Loss: 2.3478


## Model description


More information needed


## Intended uses & limitations


## Training and evaluation data


## Training procedure


### Training hyperparameters


- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20


### Training results