- hf_name: glg-por
- source_languages: glg
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'pt']
- src_constituents: {'glg'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: por
- short_pair: gl-pt
- chrF2_score: 0.758
- bleu: 57.9
- brevity_penalty: 0.977
- ref_len: 3078.0
- src_name: Galician
- tgt_name: Portuguese
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: pt
- prefer_old: False
- long_pair: glg-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gl-pt


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tll-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.en 	| 34.5 	| 0.500 |


model name: opus-mt-tll-en


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


### opus-mt-war-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.war.es 	| 28.7 	| 0.470 |


model name: opus-mt-war-es


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


### opus-mt-pag-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pag.de 	| 22.8 	| 0.435 |


model name: opus-mt-pag-de


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-lun-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lun.en 	| 30.6 	| 0.466 |


model name: opus-mt-lun-en


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


### opus-mt-nso-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.fi 	| 27.8 	| 0.523 |


model name: opus-mt-nso-fi


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


### opus-mt-hr-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hr.fi 	| 25.0 	| 0.519 |


model name: opus-mt-hr-fi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-fj


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.fj 	| 27.8 	| 0.504 |


model name: opus-mt-sv-fj


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


language:


- it
- ar


- translation


## license: apache-2.0


### ita-ara


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.ara 	| 21.9 	| 0.517 |


### System Info:


- hf_name: ita-ara
- source_languages: ita
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ar']
- src_constituents: {'ita'}
- 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/ita-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt
- src_alpha3: ita
- tgt_alpha3: ara
- short_pair: it-ar
- chrF2_score: 0.517
- bleu: 21.9
- brevity_penalty: 0.95
- ref_len: 1161.0
- src_name: Italian
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: it
- tgt_alpha2: ar
- prefer_old: False
- long_pair: ita-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-ar


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-lua


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lua 	| 27.2 	| 0.513 |


model name: opus-mt-sv-lua


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


### opus-mt-fr-pap


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pap 	| 27.8 	| 0.464 |


model name: opus-mt-fr-pap


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


language:


- en
- ht
- cpf


- translation


## license: apache-2.0


### eng-cpf


* source group: English
* target group: Creoles and pidgins, French‑based
* OPUS readme: [eng-cpf](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md)
* model: transformer
* source language(s): eng
* target language(s): gcf_Latn hat mfe
* 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-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-gcf.eng.gcf 	| 6.2 	| 0.262 |
| Tatoeba-test.eng-hat.eng.hat 	| 25.7 	| 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 80.1 	| 0.900 |
| Tatoeba-test.eng.multi 	| 15.9 	| 0.354 |


### System Info:


- hf_name: eng-cpf
- source_languages: eng
- target_languages: cpf
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ht', 'cpf']
- src_constituents: {'eng'}
- tgt_constituents: {'gcf_Latn', 'hat', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: cpf
- short_pair: en-cpf
- chrF2_score: 0.354
- bleu: 15.9
- brevity_penalty: 1.0
- ref_len: 1012.0
- src_name: English
- tgt_name: Creoles and pidgins, French‑based
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: cpf
- prefer_old: False
- long_pair: eng-cpf
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-cpf


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-pap


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.pap 	| 27.3 	| 0.478 |


model name: opus-mt-fi-pap


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


language:


- sn
- zu
- rw
- lg
- ts
- ln
- ny
- xh
- rn
- bnt
- en


- translation


## license: apache-2.0


### bnt-eng


* source group: Bantu languages
* target group: English
* OPUS readme: [bnt-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bnt-eng/README.md)
* model: transformer
* source language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul
* 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/bnt-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kin-eng.kin.eng 	| 31.7 	| 0.481 |
| Tatoeba-test.lin-eng.lin.eng 	| 8.3 	| 0.271 |
| Tatoeba-test.lug-eng.lug.eng 	| 5.3 	| 0.128 |
| Tatoeba-test.multi.eng 	| 23.1 	| 0.394 |
| Tatoeba-test.nya-eng.nya.eng 	| 38.3 	| 0.527 |
| Tatoeba-test.run-eng.run.eng 	| 26.6 	| 0.431 |
| Tatoeba-test.sna-eng.sna.eng 	| 27.5 	| 0.440 |
| Tatoeba-test.swa-eng.swa.eng 	| 4.6 	| 0.195 |
| Tatoeba-test.toi-eng.toi.eng 	| 16.2 	| 0.342 |
| Tatoeba-test.tso-eng.tso.eng 	| 100.0 	| 1.000 |
| Tatoeba-test.umb-eng.umb.eng 	| 8.4 	| 0.231 |
| Tatoeba-test.xho-eng.xho.eng 	| 37.2 	| 0.554 |
| Tatoeba-test.zul-eng.zul.eng 	| 40.9 	| 0.576 |


### System Info:


- hf_name: bnt-eng
- source_languages: bnt
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bnt-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt', 'en']
- src_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bnt-eng/opus2m-2020-07-31.test.txt
- src_alpha3: bnt
- tgt_alpha3: eng
- short_pair: bnt-en
- chrF2_score: 0.39399999999999996
- bleu: 23.1
- brevity_penalty: 1.0
- ref_len: 14565.0
- src_name: Bantu languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: bnt
- tgt_alpha2: en
- prefer_old: False
- long_pair: bnt-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bnt-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sn, zu, rw, lg, ts, ln, ny, xh, rn, bnt, en, transformers, translation, license:apache-2.0, autonlp_compatible


- ru
- da


tags:


### rus-dan


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.dan 	| 56.6 	| 0.714 |


- hf_name: rus-dan
- source_languages: rus
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'da']
- src_constituents: {'rus'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: dan
- short_pair: ru-da
- chrF2_score: 0.7140000000000001
- bleu: 56.6
- brevity_penalty: 0.977
- ref_len: 11746.0
- src_name: Russian
- tgt_name: Danish
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: da
- prefer_old: False
- long_pair: rus-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-da


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


- translation
license: apache-2.0


### opus-mt-sv-fi


* source languages: sv
* target languages: fi
* OPUS readme: [sv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fi/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-04-07.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.zip)
* test set translations: [opus+bt-2020-04-07.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.test.txt)
* test set scores: [opus+bt-2020-04-07.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fi/opus+bt-2020-04-07.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| fiskmo_testset.sv.fi 	| 26.9 	| 0.623 |
| Tatoeba.sv.fi 	| 45.2 	| 0.678 |


model name: opus-mt-sv-fi


model author: Helsinki-NLP


task: translation


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


### opus-mt-bcl-es


* source languages: bcl
* target languages: es
* OPUS readme: [bcl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-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/bcl-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-es/opus-2020-01-15.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.es 	| 37.0 	| 0.551 |


model name: opus-mt-bcl-es


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


language:


- es
- he


tags:


- translation


## license: apache-2.0


### es-he


* source group: Spanish
* target group: Hebrew
* OPUS readme: [spa-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md)
* model: transformer
* source language(s): spa
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.heb 	| 43.6 	| 0.636 |


### System Info:


- hf_name: es-he
- source_languages: spa
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'he']
- src_constituents: ('Spanish', {'spa'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: spa-heb
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-heb/opus-2020-12-10.test.txt
- src_alpha3: spa
- tgt_alpha3: heb
- chrF2_score: 0.636
- bleu: 43.6
- brevity_penalty: 0.992
- ref_len: 12112.0
- src_name: Spanish
- tgt_name: Hebrew
- train_date: 2020-12-10 00:00:00
- src_alpha2: es
- tgt_alpha2: he
- prefer_old: False
- short_pair: es-he
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-11:41


model name: opus-mt-es-he


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-lg-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lg.fi 	| 21.8 	| 0.424 |


model name: opus-mt-lg-fi


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


tags:


### opus-mt-gv-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.gv.en 	| 38.9 	| 0.668 |


model name: opus-mt-gv-en


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


### opus-mt-zne-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.zne.fi 	| 22.8 	| 0.432 |


model name: opus-mt-zne-fi


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-en-af


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.af 	| 56.1 	| 0.741 |


model name: opus-mt-en-af


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


tags:


### opus-mt-is-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.is.sv 	| 30.4 	| 0.495 |


model name: opus-mt-is-sv


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


### opus-mt-sv-ny


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ny 	| 25.9 	| 0.523 |


model name: opus-mt-sv-ny


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fi-it


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.it 	| 42.7 	| 0.657 |


model name: opus-mt-fi-it


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


tags:


### opus-mt-ha-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ha.fi 	| 21.9 	| 0.435 |


model name: opus-mt-ha-fi


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


### opus-mt-de-niu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.niu 	| 28.4 	| 0.496 |


model name: opus-mt-de-niu


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-en-gaa


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.gaa 	| 39.9 	| 0.593 |


model name: opus-mt-en-gaa


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


language:


- pl
- cs
- zlw
- en


tags:


- translation


## license: apache-2.0


### zlw-eng


* source group: West Slavic languages
* target group: English
* OPUS readme: [zlw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zlw-eng/README.md)
* model: transformer
* source language(s): ces csb_Latn dsb hsb pol
* 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/zlw-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-ceseng.ces.eng 	| 25.7 	| 0.536 |
| newstest2009-ceseng.ces.eng 	| 24.6 	| 0.530 |
| newstest2010-ceseng.ces.eng 	| 25.0 	| 0.540 |
| newstest2011-ceseng.ces.eng 	| 25.9 	| 0.539 |
| newstest2012-ceseng.ces.eng 	| 24.8 	| 0.533 |
| newstest2013-ceseng.ces.eng 	| 27.8 	| 0.551 |
| newstest2014-csen-ceseng.ces.eng 	| 30.3 	| 0.585 |
| newstest2015-encs-ceseng.ces.eng 	| 27.5 	| 0.542 |
| newstest2016-encs-ceseng.ces.eng 	| 29.1 	| 0.564 |
| newstest2017-encs-ceseng.ces.eng 	| 26.0 	| 0.537 |
| newstest2018-encs-ceseng.ces.eng 	| 27.3 	| 0.544 |
| Tatoeba-test.ces-eng.ces.eng 	| 53.3 	| 0.691 |
| Tatoeba-test.csb-eng.csb.eng 	| 10.2 	| 0.313 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 11.7 	| 0.296 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 24.6 	| 0.426 |
| Tatoeba-test.multi.eng 	| 51.8 	| 0.680 |
| Tatoeba-test.pol-eng.pol.eng 	| 50.4 	| 0.667 |


### System Info:


- hf_name: zlw-eng
- source_languages: zlw
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zlw-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'cs', 'zlw', 'en']
- src_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-eng/opus2m-2020-08-01.test.txt
- src_alpha3: zlw
- tgt_alpha3: eng
- short_pair: zlw-en
- chrF2_score: 0.68
- bleu: 51.8
- brevity_penalty: 0.9620000000000001
- ref_len: 75742.0
- src_name: West Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: zlw
- tgt_alpha2: en
- prefer_old: False
- long_pair: zlw-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zlw-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pl, cs, zlw, en, transformers, translation, license:apache-2.0, autonlp_compatible


- eo
- ro


### epo-ron


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ron 	| 19.4 	| 0.420 |


- hf_name: epo-ron
- source_languages: epo
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ro']
- src_constituents: {'epo'}
- tgt_constituents: {'ron'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ron
- short_pair: eo-ro
- chrF2_score: 0.42
- bleu: 19.4
- brevity_penalty: 0.9179999999999999
- ref_len: 25619.0
- src_name: Esperanto
- tgt_name: Romanian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ro
- prefer_old: False
- long_pair: epo-ron
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-ro


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


tags:


- translation
license: apache-2.0


### opus-mt-yap-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yap.sv 	| 22.6 	| 0.399 |


model name: opus-mt-yap-sv


model author: Helsinki-NLP


task: translation


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


### opus-mt-jap-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.jap.en 	| 52.6 	| 0.703 |


model name: opus-mt-jap-en


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


### opus-mt-NORTH_EU-NORTH_EU


* source languages: de,nl,fy,af,da,fo,is,no,nb,nn,sv
* target languages: de,nl,fy,af,da,fo,is,no,nb,nn,sv
* OPUS readme: [de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de+nl+fy+af+da+fo+is+no+nb+nn+sv-de+nl+fy+af+da+fo+is+no+nb+nn+sv/opus-2020-01-15.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.sv 	| 48.1 	| 0.663 |


model name: opus-mt-NORTH_EU-NORTH_EU


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-bi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bi 	| 28.4 	| 0.464 |


model name: opus-mt-fr-bi


model author: Helsinki-NLP


task: translation


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


language:


- lv
- ru


- translation


## license: apache-2.0


### lav-rus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lav.rus 	| 53.3 	| 0.702 |


### System Info:


- hf_name: lav-rus
- source_languages: lav
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lav-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lv', 'ru']
- src_constituents: {'lav'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.test.txt
- src_alpha3: lav
- tgt_alpha3: rus
- short_pair: lv-ru
- chrF2_score: 0.7020000000000001
- bleu: 53.3
- brevity_penalty: 0.9840000000000001
- ref_len: 1541.0
- src_name: Latvian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: lv
- tgt_alpha2: ru
- prefer_old: False
- long_pair: lav-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lv-ru


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


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


tags:


### eng-fiu


* source group: English
* target group: Finno-Ugrian languages
* OPUS readme: [eng-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin 	| 18.7 	| 0.522 |
| newsdev2018-enet-engest.eng.est 	| 19.4 	| 0.521 |
| newssyscomb2009-enghun.eng.hun 	| 15.5 	| 0.472 |
| newstest2009-enghun.eng.hun 	| 15.4 	| 0.468 |
| newstest2015-enfi-engfin.eng.fin 	| 19.9 	| 0.532 |
| newstest2016-enfi-engfin.eng.fin 	| 21.1 	| 0.544 |
| newstest2017-enfi-engfin.eng.fin 	| 23.8 	| 0.567 |
| newstest2018-enet-engest.eng.est 	| 20.4 	| 0.532 |
| newstest2018-enfi-engfin.eng.fin 	| 15.6 	| 0.498 |
| newstest2019-enfi-engfin.eng.fin 	| 20.0 	| 0.520 |
| newstestB2016-enfi-engfin.eng.fin 	| 17.0 	| 0.512 |
| newstestB2017-enfi-engfin.eng.fin 	| 19.7 	| 0.531 |
| Tatoeba-test.eng-chm.eng.chm 	| 0.9 	| 0.115 |
| Tatoeba-test.eng-est.eng.est 	| 49.8 	| 0.689 |
| Tatoeba-test.eng-fin.eng.fin 	| 34.7 	| 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv 	| 1.3 	| 0.187 |
| Tatoeba-test.eng-hun.eng.hun 	| 35.2 	| 0.589 |
| Tatoeba-test.eng-izh.eng.izh 	| 6.0 	| 0.163 |
| Tatoeba-test.eng-kom.eng.kom 	| 3.4 	| 0.012 |
| Tatoeba-test.eng-krl.eng.krl 	| 6.4 	| 0.202 |
| Tatoeba-test.eng-liv.eng.liv 	| 1.6 	| 0.102 |
| Tatoeba-test.eng-mdf.eng.mdf 	| 3.7 	| 0.008 |
| Tatoeba-test.eng.multi 	| 35.4 	| 0.590 |
| Tatoeba-test.eng-myv.eng.myv 	| 1.4 	| 0.014 |
| Tatoeba-test.eng-sma.eng.sma 	| 2.6 	| 0.097 |
| Tatoeba-test.eng-sme.eng.sme 	| 7.3 	| 0.221 |
| Tatoeba-test.eng-udm.eng.udm 	| 1.4 	| 0.079 |


- hf_name: eng-fiu
- source_languages: eng
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: fiu
- short_pair: en-fiu
- chrF2_score: 0.59
- bleu: 35.4
- brevity_penalty: 0.9440000000000001
- ref_len: 59311.0
- src_name: English
- tgt_name: Finno-Ugrian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: eng-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-fiu


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-bcl-en


* source languages: bcl
* target languages: en
* OPUS readme: [bcl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bcl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bcl-en/opus-2020-02-11.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bcl.en 	| 56.1 	| 0.697 |


model name: opus-mt-bcl-en


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


### opus-mt-fi-tll


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tll 	| 23.6 	| 0.478 |


model name: opus-mt-fi-tll


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


language:


- is
- it


tags:


- translation


## license: apache-2.0


### isl-ita


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.ita 	| 46.7 	| 0.662 |


### System Info:


- hf_name: isl-ita
- source_languages: isl
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['is', 'it']
- src_constituents: {'isl'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.test.txt
- src_alpha3: isl
- tgt_alpha3: ita
- short_pair: is-it
- chrF2_score: 0.662
- bleu: 46.7
- brevity_penalty: 0.977
- ref_len: 1450.0
- src_name: Icelandic
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: is
- tgt_alpha2: it
- prefer_old: False
- long_pair: isl-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-is-it


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-de-el


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.el 	| 45.7 	| 0.649 |


model name: opus-mt-de-el


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


tags:


### opus-mt-sv-iso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.iso 	| 27.2 	| 0.447 |


model name: opus-mt-sv-iso


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


### opus-mt-en-bzs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bzs 	| 43.4 	| 0.612 |


model name: opus-mt-en-bzs


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-fr-pon


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pon 	| 23.9 	| 0.458 |


model name: opus-mt-fr-pon


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


tags:


### opus-mt-sv-sg


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sg 	| 30.0 	| 0.487 |


model name: opus-mt-sv-sg


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


language:


- en
- phi


- translation


## license: apache-2.0


### eng-phi


* source group: English
* target group: Philippine languages
* OPUS readme: [eng-phi](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 7.1 	| 0.245 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 10.5 	| 0.435 |
| Tatoeba-test.eng-hil.eng.hil 	| 18.0 	| 0.506 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 33.4 	| 0.590 |
| Tatoeba-test.eng.multi 	| 13.1 	| 0.392 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.4 	| 0.481 |
| Tatoeba-test.eng-war.eng.war 	| 12.8 	| 0.441 |


### System Info:


- hf_name: eng-phi
- source_languages: eng
- target_languages: phi
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'phi']
- src_constituents: {'eng'}
- tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: phi
- short_pair: en-phi
- chrF2_score: 0.392
- bleu: 13.1
- brevity_penalty: 1.0
- ref_len: 30022.0
- src_name: English
- tgt_name: Philippine languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: phi
- prefer_old: False
- long_pair: eng-phi
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-phi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-et-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2018-enet.et.en 	| 30.1 	| 0.574 |
| newstest2018-enet.et.en 	| 30.3 	| 0.581 |
| Tatoeba.et.en 	| 59.9 	| 0.738 |


model name: opus-mt-et-en


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


### opus-mt-fi-ZH


* source languages: fi
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
* OPUS readme: [fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.fi.zh 	| 23.4 	| 0.326 |


model name: opus-mt-fi-ZH


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


### opus-mt-sv-bi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bi 	| 30.8 	| 0.496 |


model name: opus-mt-sv-bi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-kwy-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.sv 	| 20.2 	| 0.373 |


model name: opus-mt-kwy-sv


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


### opus-mt-fr-kg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kg 	| 30.4 	| 0.523 |


model name: opus-mt-fr-kg


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


### opus-mt-bi-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.en 	| 30.3 	| 0.458 |


model name: opus-mt-bi-en


model author: Helsinki-NLP


task: translation


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


language:


- en
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla


tags:


- translation


## license: apache-2.0


### eng-sla


* source group: English
* target group: Slavic languages
* OPUS readme: [eng-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces 	| 20.1 	| 0.484 |
| news-test2008-engces.eng.ces 	| 17.7 	| 0.461 |
| newstest2009-engces.eng.ces 	| 19.1 	| 0.479 |
| newstest2010-engces.eng.ces 	| 19.3 	| 0.483 |
| newstest2011-engces.eng.ces 	| 20.4 	| 0.486 |
| newstest2012-engces.eng.ces 	| 18.3 	| 0.461 |
| newstest2012-engrus.eng.rus 	| 27.4 	| 0.551 |
| newstest2013-engces.eng.ces 	| 21.5 	| 0.489 |
| newstest2013-engrus.eng.rus 	| 20.9 	| 0.490 |
| newstest2015-encs-engces.eng.ces 	| 21.1 	| 0.496 |
| newstest2015-enru-engrus.eng.rus 	| 24.5 	| 0.536 |
| newstest2016-encs-engces.eng.ces 	| 23.6 	| 0.515 |
| newstest2016-enru-engrus.eng.rus 	| 23.0 	| 0.519 |
| newstest2017-encs-engces.eng.ces 	| 19.2 	| 0.474 |
| newstest2017-enru-engrus.eng.rus 	| 25.0 	| 0.541 |
| newstest2018-encs-engces.eng.ces 	| 19.3 	| 0.479 |
| newstest2018-enru-engrus.eng.rus 	| 22.3 	| 0.526 |
| newstest2019-encs-engces.eng.ces 	| 20.4 	| 0.486 |
| newstest2019-enru-engrus.eng.rus 	| 24.0 	| 0.506 |
| Tatoeba-test.eng-bel.eng.bel 	| 22.9 	| 0.489 |
| Tatoeba-test.eng-bul.eng.bul 	| 46.7 	| 0.652 |
| Tatoeba-test.eng-ces.eng.ces 	| 42.7 	| 0.624 |
| Tatoeba-test.eng-csb.eng.csb 	| 1.4 	| 0.210 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 1.4 	| 0.165 |
| Tatoeba-test.eng-hbs.eng.hbs 	| 40.3 	| 0.616 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 14.3 	| 0.344 |
| Tatoeba-test.eng-mkd.eng.mkd 	| 44.1 	| 0.635 |
| Tatoeba-test.eng.multi 	| 41.0 	| 0.610 |
| Tatoeba-test.eng-orv.eng.orv 	| 0.3 	| 0.014 |
| Tatoeba-test.eng-pol.eng.pol 	| 42.0 	| 0.637 |
| Tatoeba-test.eng-rue.eng.rue 	| 0.3 	| 0.012 |
| Tatoeba-test.eng-rus.eng.rus 	| 40.5 	| 0.612 |
| Tatoeba-test.eng-slv.eng.slv 	| 18.8 	| 0.357 |
| Tatoeba-test.eng-ukr.eng.ukr 	| 38.8 	| 0.600 |


### System Info:


- hf_name: eng-sla
- source_languages: eng
- target_languages: sla
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sla
- short_pair: en-sla
- chrF2_score: 0.61
- bleu: 41.0
- brevity_penalty: 0.976
- ref_len: 64809.0
- src_name: English
- tgt_name: Slavic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sla
- prefer_old: False
- long_pair: eng-sla
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-sla


tags: pytorch, marian, text2text-generation, en, be, hr, mk, cs, ru, pl, bg, uk, sl, sla, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-ht-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.fi 	| 23.3 	| 0.464 |


model name: opus-mt-ht-fi


model author: Helsinki-NLP


task: translation


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


language:


- en
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- nic


tags:


- translation


## license: apache-2.0


### eng-nic


* source group: English
* target group: Niger-Kordofanian languages
* OPUS readme: [eng-nic](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md)
* model: transformer
* source language(s): eng
* target language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bam.eng.bam 	| 6.2 	| 0.029 |
| Tatoeba-test.eng-ewe.eng.ewe 	| 4.5 	| 0.258 |
| Tatoeba-test.eng-ful.eng.ful 	| 0.5 	| 0.073 |
| Tatoeba-test.eng-ibo.eng.ibo 	| 3.9 	| 0.267 |
| Tatoeba-test.eng-kin.eng.kin 	| 6.4 	| 0.475 |
| Tatoeba-test.eng-lin.eng.lin 	| 1.2 	| 0.308 |
| Tatoeba-test.eng-lug.eng.lug 	| 3.9 	| 0.405 |
| Tatoeba-test.eng.multi 	| 11.1 	| 0.427 |
| Tatoeba-test.eng-nya.eng.nya 	| 14.0 	| 0.622 |
| Tatoeba-test.eng-run.eng.run 	| 13.6 	| 0.477 |
| Tatoeba-test.eng-sag.eng.sag 	| 5.5 	| 0.199 |
| Tatoeba-test.eng-sna.eng.sna 	| 19.6 	| 0.557 |
| Tatoeba-test.eng-swa.eng.swa 	| 1.8 	| 0.163 |
| Tatoeba-test.eng-toi.eng.toi 	| 8.3 	| 0.231 |
| Tatoeba-test.eng-tso.eng.tso 	| 50.0 	| 0.789 |
| Tatoeba-test.eng-umb.eng.umb 	| 7.8 	| 0.342 |
| Tatoeba-test.eng-wol.eng.wol 	| 6.7 	| 0.143 |
| Tatoeba-test.eng-xho.eng.xho 	| 26.4 	| 0.620 |
| Tatoeba-test.eng-yor.eng.yor 	| 15.5 	| 0.342 |
| Tatoeba-test.eng-zul.eng.zul 	| 35.9 	| 0.750 |


### System Info:


- hf_name: eng-nic
- source_languages: eng
- target_languages: nic
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic']
- src_constituents: {'eng'}
- tgt_constituents: {'bam_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: nic
- short_pair: en-nic
- chrF2_score: 0.42700000000000005
- bleu: 11.1
- brevity_penalty: 1.0
- ref_len: 10625.0
- src_name: English
- tgt_name: Niger-Kordofanian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: nic
- prefer_old: False
- long_pair: eng-nic
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-nic


tags: pytorch, marian, text2text-generation, en, sn, rw, wo, ig, sg, ee, zu, lg, ts, ln, ny, yo, rn, xh, nic, transformers, translation, license:apache-2.0, autonlp_compatible


- dsb
- cs
- csb_Latn
- hsb
- pl
- zlw
- hu
- vro
- fi
- liv_Latn
- mdf
- krl
- fkv_Latn
- mhr
- et
- sma
- udm
- vep
- myv
- kpv
- se
- izh
- fiu


### zlw-fiu


* source language name: West Slavic languages
* target language name: Finno-Ugrian languages
* OPUS readme: [README.md](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/README.md)
* model: transformer
* source language codes: dsb, cs, csb_Latn, hsb, pl, zlw
* target language codes: hu, vro, fi, liv_Latn, mdf, krl, fkv_Latn, mhr, et, sma, udm, vep, myv, kpv, se, izh, fiu
* dataset: opus
* release date: 2021-02-18
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2021-02-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.zip)
* a sentence-initial language token is required in the form of >>id<<(id = valid, usually three-letter target language ID)
* Training data:
  * ces-fin: Tatoeba-train (1000000)
  * ces-hun: Tatoeba-train (1000000)
  * pol-est: Tatoeba-train (1000000)
  * pol-fin: Tatoeba-train (1000000)
  * pol-hun: Tatoeba-train (1000000)
* Validation data:
  * ces-fin: Tatoeba-dev, 1000
  * ces-hun: Tatoeba-dev, 1000
  * est-pol: Tatoeba-dev, 1000
  * fin-pol: Tatoeba-dev, 1000
  * hun-pol: Tatoeba-dev, 1000
  * mhr-pol: Tatoeba-dev, 461
  * total-size-shuffled: 5426
  * devset-selected: top 5000  lines of Tatoeba-dev.src.shuffled!
* Test data:
  * newssyscomb2009.ces-hun: 502/9733
  * newstest2009.ces-hun: 2525/54965
  * Tatoeba-test.ces-fin: 88/408
  * Tatoeba-test.ces-hun: 1911/10336
  * Tatoeba-test.multi-multi: 4562/25497
  * Tatoeba-test.pol-chm: 5/36
  * Tatoeba-test.pol-est: 15/98
  * Tatoeba-test.pol-fin: 609/3293
  * Tatoeba-test.pol-hun: 1934/11285
* test set translations file: [test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.test.txt)
* test set scores file: [eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/zlw-fiu/opus-2021-02-18.eval.txt)
* BLEU-scores
|Test set|score|
|---|---|
|Tatoeba-test.ces-fin|57.2|
|Tatoeba-test.ces-hun|42.6|
|Tatoeba-test.multi-multi|39.4|
|Tatoeba-test.pol-hun|36.6|
|Tatoeba-test.pol-fin|36.1|
|Tatoeba-test.pol-est|20.9|
|newssyscomb2009.ces-hun|13.9|
|newstest2009.ces-hun|13.9|
|Tatoeba-test.pol-chm|2.0|
* chr-F-scores
|Test set|score|
|---|---|
|Tatoeba-test.ces-fin|0.71|
|Tatoeba-test.ces-hun|0.637|
|Tatoeba-test.multi-multi|0.616|
|Tatoeba-test.pol-hun|0.605|
|Tatoeba-test.pol-fin|0.592|
|newssyscomb2009.ces-hun|0.449|
|newstest2009.ces-hun|0.443|
|Tatoeba-test.pol-est|0.372|
|Tatoeba-test.pol-chm|0.007|


* hf_name: zlw-fiu
* source_languages: dsb,cs,csb_Latn,hsb,pl,zlw
* target_languages: hu,vro,fi,liv_Latn,mdf,krl,fkv_Latn,mhr,et,sma,udm,vep,myv,kpv,se,izh,fiu
* opus_readme_url: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/README.md
* original_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['dsb', 'cs', 'csb_Latn', 'hsb', 'pl', 'zlw', 'hu', 'vro', 'fi', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'et', 'sma', 'udm', 'vep', 'myv', 'kpv', 'se', 'izh', 'fiu']
* src_constituents: ['dsb', 'ces', 'csb_Latn', 'hsb', 'pol']
* tgt_constituents: ['hun', 'vro', 'fin', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'est', 'sma', 'udm', 'vep', 'myv', 'kpv', 'sme', 'izh']
* src_multilingual: True
* tgt_multilingual: True
* helsinki_git_sha: a0966db6db0ae616a28471ff0faf461b36fec07d
* transformers_git_sha: 3857f2b4e34912c942694489c2b667d9476e55f5
* port_machine: bungle
* port_time: 2021-06-29-15:24


model name: opus-mt-zlw-fiu


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, dsb, cs, csb_Latn, hsb, pl, zlw, hu, vro, fi, liv_Latn, mdf, krl, fkv_Latn, mhr, et, sma, udm, vep, myv, kpv, se, izh, fiu, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ceb-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ceb.fi 	| 27.4 	| 0.525 |


model name: opus-mt-ceb-fi


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


### opus-mt-lg-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lg.sv 	| 24.5 	| 0.423 |


model name: opus-mt-lg-sv


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


language:


- en
- ca
- es
- os
- eo
- ro
- fy
- cy
- is
- lb
- su
- an
- sq
- fr
- ht
- rm
- cv
- ig
- am
- eu
- tr
- ps
- af
- ny
- ch
- uk
- sl
- lt
- tk
- sg
- ar
- lg
- bg
- be
- ka
- gd
- ja
- si
- br
- mh
- km
- th
- ty
- rw
- te
- mk
- or
- wo
- kl
- mr
- ru
- yo
- hu
- fo
- zh
- ti
- co
- ee
- oc
- sn
- mt
- ts
- pl
- gl
- nb
- bn
- tt
- bo
- lo
- id
- gn
- nv
- hy
- kn
- to
- io
- so
- vi
- da
- fj
- gv
- sm
- nl
- mi
- pt
- hi
- se
- as
- ta
- et
- kw
- ga
- sv
- ln
- na
- mn
- gu
- wa
- lv
- jv
- el
- my
- ba
- it
- hr
- ur
- ce
- nn
- fi
- mg
- rn
- xh
- ab
- de
- cs
- he
- zu
- yi
- ml
- mul


- translation


## license: apache-2.0


### eng-mul


* source group: English
* target group: Multiple languages
* OPUS readme: [eng-mul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md)
* model: transformer
* source language(s): eng
* target language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.eval.txt)