| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| newsdev2016-enro.eng-ron 	| 33.5 	| 0.610 	| 1999 	| 51566 	| 0.984 |
| newstest2016-enro.eng-ron 	| 31.7 	| 0.591 	| 1999 	| 49094 	| 0.998 |
| Tatoeba-test.eng-ron 	| 46.9 	| 0.678 	| 5000 	| 36851 	| 0.983 |


### System Info:


- hf_name: en-ro
- source_languages: eng
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ro']
- src_constituents: ('English', {'eng'})
- tgt_constituents: ('Romanian', {'ron'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: eng-ron
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ron/opus+bt-2021-03-07.test.txt
- src_alpha3: eng
- tgt_alpha3: ron
- chrF2_score: 0.678
- bleu: 46.9
- src_name: English
- tgt_name: Romanian
- train_date: 2021-03-07 00:00:00
- src_alpha2: en
- tgt_alpha2: ro
- prefer_old: False
- short_pair: en-ro
- helsinki_git_sha: 2ef219d5b67f0afb0c6b732cd07001d84181f002
- transformers_git_sha: 12b4d66a80419db30a15e7b9d4208ceb9887c03b
- port_machine: LM0-400-22516.local
- port_time: 2021-11-08-09:31


model name: opus-tatoeba-en-ro


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-iso-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.en 	| 35.5 	| 0.506 |


model name: opus-mt-iso-en


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


### opus-mt-en-tl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.tl 	| 26.6 	| 0.577 |


model name: opus-mt-en-tl


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


language:


- vi
- km
- aav
- en


- translation


## license: apache-2.0


### aav-eng


* source group: Austro-Asiatic languages
* target group: English
* OPUS readme: [aav-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aav-eng/README.md)
* model: transformer
* source language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
* 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/aav-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hoc-eng.hoc.eng 	| 0.3 	| 0.095 |
| Tatoeba-test.kha-eng.kha.eng 	| 1.0 	| 0.115 |
| Tatoeba-test.khm-eng.khm.eng 	| 8.9 	| 0.271 |
| Tatoeba-test.mnw-eng.mnw.eng 	| 0.8 	| 0.118 |
| Tatoeba-test.multi.eng 	| 24.8 	| 0.391 |
| Tatoeba-test.vie-eng.vie.eng 	| 38.7 	| 0.567 |


### System Info:


- hf_name: aav-eng
- source_languages: aav
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/aav-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'km', 'aav', 'en']
- src_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/aav-eng/opus2m-2020-07-31.test.txt
- src_alpha3: aav
- tgt_alpha3: eng
- short_pair: aav-en
- chrF2_score: 0.391
- bleu: 24.8
- brevity_penalty: 0.968
- ref_len: 36693.0
- src_name: Austro-Asiatic languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: aav
- tgt_alpha2: en
- prefer_old: False
- long_pair: aav-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-aav-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, vi, km, aav, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sv-af


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.af 	| 44.4 	| 0.623 |


model name: opus-mt-sv-af


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


### opus-mt-en-tiv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tiv 	| 31.6 	| 0.497 |


model name: opus-mt-en-tiv


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


language:


- no


- translation


## license: apache-2.0


### nor-nor


* source group: Norwegian
* target group: Norwegian
* OPUS readme: [nor-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.nor 	| 58.4 	| 0.784 |


### System Info:


- hf_name: nor-nor
- source_languages: nor
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-nor/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: nor
- short_pair: no-no
- chrF2_score: 0.784
- bleu: 58.4
- brevity_penalty: 0.988
- ref_len: 6351.0
- src_name: Norwegian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: no
- prefer_old: False
- long_pair: nor-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-no


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ja-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.es 	| 34.6 	| 0.553 |


model name: opus-mt-ja-es


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


### opus-mt-lus-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lus.sv 	| 25.5 	| 0.439 |


model name: opus-mt-lus-sv


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


language:


- es
- zh


- translation


## license: apache-2.0


### es-zh


* source group: Spanish
* target group: Chinese
* OPUS readme: [spa-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-zho/README.md)
* model: transformer
* source language(s): spa
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant hsn hsn_Hani lzh nan wuu yue_Hans yue_Hant
* 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-2021-01-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.zip)
* test set translations: [opus-2021-01-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.test.txt)
* test set scores: [opus-2021-01-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.zho 	| 38.8 	| 0.324 |


### System Info:


- hf_name: es-zh
- source_languages: spa
- target_languages: zho
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-zho/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'zh']
- src_constituents: ('Spanish', {'spa'})
- tgt_constituents: ('Chinese', {'wuu_Bopo', 'wuu', 'cmn_Hang', 'lzh_Kana', 'lzh', 'wuu_Hani', 'lzh_Yiii', 'yue_Hans', 'cmn_Hani', 'cjy_Hans', 'cmn_Hans', 'cmn_Kana', 'zho_Hans', 'zho_Hant', 'yue', 'cmn_Bopo', 'yue_Hang', 'lzh_Hans', 'wuu_Latn', 'yue_Hant', 'hak_Hani', 'lzh_Bopo', 'cmn_Hant', 'lzh_Hani', 'lzh_Hang', 'cmn', 'lzh_Hira', 'yue_Bopo', 'yue_Hani', 'gan', 'zho', 'cmn_Yiii', 'yue_Hira', 'cmn_Latn', 'yue_Kana', 'cjy_Hant', 'cmn_Hira', 'nan_Hani', 'nan'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: spa-zho
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-zho/opus-2021-01-04.test.txt
- src_alpha3: spa
- tgt_alpha3: zho
- chrF2_score: 0.324
- bleu: 38.8
- brevity_penalty: 0.878
- ref_len: 22762.0
- src_name: Spanish
- tgt_name: Chinese
- train_date: 2021-01-04 00:00:00
- src_alpha2: es
- tgt_alpha2: zh
- prefer_old: False
- short_pair: es-zh
- helsinki_git_sha: dfdcef114ffb8a8dbb7a3fcf84bde5af50309500
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2021-01-04-18:53


model name: opus-tatoeba-es-zh


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-ru


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.ru 	| 46.6 	| 0.662 |


model name: opus-mt-sv-ru


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


### opus-mt-ber-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ber.es 	| 33.8 	| 0.487 |


model name: opus-mt-ber-es


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


### opus-mt-af-de


* source languages: af
* target languages: de
* OPUS readme: [af-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/af-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-19.zip](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.zip)
* test set translations: [opus-2020-01-19.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.test.txt)
* test set scores: [opus-2020-01-19.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/af-de/opus-2020-01-19.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.af.de 	| 48.6 	| 0.681 |


model name: opus-mt-af-de


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-hil


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.hil 	| 33.9 	| 0.563 |


model name: opus-mt-de-hil


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


### opus-mt-sv-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.fr 	| 59.7 	| 0.731 |


model name: opus-mt-sv-fr


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


language:


- bg
- it


- translation


## license: apache-2.0


### bul-ita


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.ita 	| 43.1 	| 0.653 |


### System Info:


- hf_name: bul-ita
- source_languages: bul
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'it']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ita/opus-2020-07-03.test.txt
- src_alpha3: bul
- tgt_alpha3: ita
- short_pair: bg-it
- chrF2_score: 0.653
- bleu: 43.1
- brevity_penalty: 0.987
- ref_len: 16951.0
- src_name: Bulgarian
- tgt_name: Italian
- train_date: 2020-07-03
- src_alpha2: bg
- tgt_alpha2: it
- prefer_old: False
- long_pair: bul-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-it


model author: Helsinki-NLP


task: translation


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


- bg
- uk


tags:


### bul-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.ukr 	| 49.2 	| 0.683 |


- hf_name: bul-ukr
- source_languages: bul
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'uk']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-ukr/opus-2020-06-17.test.txt
- src_alpha3: bul
- tgt_alpha3: ukr
- short_pair: bg-uk
- chrF2_score: 0.6829999999999999
- bleu: 49.2
- brevity_penalty: 0.983
- ref_len: 4932.0
- src_name: Bulgarian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: bg
- tgt_alpha2: uk
- prefer_old: False
- long_pair: bul-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-uk


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


- translation
license: apache-2.0


### opus-mt-es-hr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.hr 	| 21.7 	| 0.459 |


model name: opus-mt-es-hr


model author: Helsinki-NLP


task: translation


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


### opus-mt-fi-kqn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kqn 	| 22.3 	| 0.476 |


model name: opus-mt-fi-kqn


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


language:


- se
- fi
- hu
- et
- urj
- en


tags:


- translation


## license: apache-2.0


### urj-eng


* source group: Uralic languages
* target group: English
* OPUS readme: [urj-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-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-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng 	| 22.7 	| 0.511 |
| newsdev2018-enet-esteng.est.eng 	| 26.6 	| 0.545 |
| newssyscomb2009-huneng.hun.eng 	| 21.3 	| 0.493 |
| newstest2009-huneng.hun.eng 	| 20.1 	| 0.487 |
| newstest2015-enfi-fineng.fin.eng 	| 23.9 	| 0.521 |
| newstest2016-enfi-fineng.fin.eng 	| 25.8 	| 0.542 |
| newstest2017-enfi-fineng.fin.eng 	| 28.9 	| 0.562 |
| newstest2018-enet-esteng.est.eng 	| 27.0 	| 0.552 |
| newstest2018-enfi-fineng.fin.eng 	| 21.2 	| 0.492 |
| newstest2019-fien-fineng.fin.eng 	| 25.3 	| 0.531 |
| newstestB2016-enfi-fineng.fin.eng 	| 21.3 	| 0.500 |
| newstestB2017-enfi-fineng.fin.eng 	| 24.4 	| 0.528 |
| newstestB2017-fien-fineng.fin.eng 	| 24.4 	| 0.528 |
| Tatoeba-test.chm-eng.chm.eng 	| 0.8 	| 0.131 |
| Tatoeba-test.est-eng.est.eng 	| 34.5 	| 0.526 |
| Tatoeba-test.fin-eng.fin.eng 	| 28.1 	| 0.485 |
| Tatoeba-test.fkv-eng.fkv.eng 	| 6.8 	| 0.335 |
| Tatoeba-test.hun-eng.hun.eng 	| 25.1 	| 0.452 |
| Tatoeba-test.izh-eng.izh.eng 	| 11.6 	| 0.224 |
| Tatoeba-test.kom-eng.kom.eng 	| 2.4 	| 0.110 |
| Tatoeba-test.krl-eng.krl.eng 	| 18.6 	| 0.365 |
| Tatoeba-test.liv-eng.liv.eng 	| 0.5 	| 0.078 |
| Tatoeba-test.mdf-eng.mdf.eng 	| 1.5 	| 0.117 |
| Tatoeba-test.multi.eng 	| 47.8 	| 0.646 |
| Tatoeba-test.myv-eng.myv.eng 	| 0.5 	| 0.101 |
| Tatoeba-test.sma-eng.sma.eng 	| 1.2 	| 0.110 |
| Tatoeba-test.sme-eng.sme.eng 	| 1.5 	| 0.147 |
| Tatoeba-test.udm-eng.udm.eng 	| 1.0 	| 0.130 |


### System Info:


- hf_name: urj-eng
- source_languages: urj
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj', '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/urj-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt
- src_alpha3: urj
- tgt_alpha3: eng
- short_pair: urj-en
- chrF2_score: 0.6459999999999999
- bleu: 47.8
- brevity_penalty: 0.993
- ref_len: 70882.0
- src_name: Uralic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: urj
- tgt_alpha2: en
- prefer_old: False
- long_pair: urj-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-urj-en


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-sv-chk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.chk 	| 20.7 	| 0.421 |


model name: opus-mt-sv-chk


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


tags:


### opus-mt-sn-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sn.fr 	| 30.8 	| 0.491 |


model name: opus-mt-sn-fr


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


### opus-mt-es-pl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.pl 	| 44.6 	| 0.649 |


model name: opus-mt-es-pl


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-et-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.fi 	| 26.6 	| 0.546 |


model name: opus-mt-et-fi


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


tags:


### opus-mt-pap-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.en 	| 47.3 	| 0.634 |
| Tatoeba.pap.en 	| 63.2 	| 0.684 |


model name: opus-mt-pap-en


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


### opus-mt-en-niu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.niu 	| 53.0 	| 0.698 |


model name: opus-mt-en-niu


model author: Helsinki-NLP


task: translation


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


language:


- el
- ar


- translation


## license: apache-2.0


### ell-ara


* source group: Modern Greek (1453-)
* target group: Arabic
* OPUS readme: [ell-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md)
* model: transformer
* source language(s): ell
* target language(s): ara arz
* 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/ell-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.ara 	| 21.9 	| 0.485 |


### System Info:


- hf_name: ell-ara
- source_languages: ell
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'ar']
- src_constituents: {'ell'}
- 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/ell-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt
- src_alpha3: ell
- tgt_alpha3: ara
- short_pair: el-ar
- chrF2_score: 0.485
- bleu: 21.9
- brevity_penalty: 0.972
- ref_len: 1686.0
- src_name: Modern Greek (1453-)
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: el
- tgt_alpha2: ar
- prefer_old: False
- long_pair: ell-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-el-ar


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


- mk
- es


tags:


### mkd-spa


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.mkd.spa 	| 56.5 	| 0.717 |


- hf_name: mkd-spa
- source_languages: mkd
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkd-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['mk', 'es']
- src_constituents: {'mkd'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.test.txt
- src_alpha3: mkd
- tgt_alpha3: spa
- short_pair: mk-es
- chrF2_score: 0.7170000000000001
- bleu: 56.5
- brevity_penalty: 0.997
- ref_len: 1121.0
- src_name: Macedonian
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: mk
- tgt_alpha2: es
- prefer_old: False
- long_pair: mkd-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-mk-es


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-en-fi


* source languages: en
* target languages: fi
* OPUS readme: [en-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fi/README.md)
* dataset: opus+bt-news
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-news-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.zip)
* test set translations: [opus+bt-news-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.test.txt)
* test set scores: [opus+bt-news-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2019-enfi.en.fi 	| 25.7 	| 0.578 |


model name: opus-mt-en-fi


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


### opus-mt-gaa-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.sv 	| 30.1 	| 0.489 |


model name: opus-mt-gaa-sv


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


language:


- ca
- fr


tags:


- translation


## license: apache-2.0


### cat-fra


* source group: Catalan
* target group: French
* OPUS readme: [cat-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md)
* model: transformer-align
* source language(s): cat
* target language(s): fra
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.fra 	| 52.4 	| 0.694 |


### System Info:


- hf_name: cat-fra
- source_languages: cat
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'fr']
- src_constituents: {'cat'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: fra
- short_pair: ca-fr
- chrF2_score: 0.6940000000000001
- bleu: 52.4
- brevity_penalty: 0.987
- ref_len: 5517.0
- src_name: Catalan
- tgt_name: French
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: fr
- prefer_old: False
- long_pair: cat-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ca-fr


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-en-mos


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mos 	| 26.9 	| 0.417 |


model name: opus-mt-en-mos


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


tags:


### opus-mt-fi-iso


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.iso 	| 26.0 	| 0.439 |


model name: opus-mt-fi-iso


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


### opus-mt-de-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.en 	| 29.4 	| 0.557 |
| news-test2008.de.en 	| 27.8 	| 0.548 |
| newstest2009.de.en 	| 26.8 	| 0.543 |
| newstest2010.de.en 	| 30.2 	| 0.584 |
| newstest2011.de.en 	| 27.4 	| 0.556 |
| newstest2012.de.en 	| 29.1 	| 0.569 |
| newstest2013.de.en 	| 32.1 	| 0.583 |
| newstest2014-deen.de.en 	| 34.0 	| 0.600 |
| newstest2015-ende.de.en 	| 34.2 	| 0.599 |
| newstest2016-ende.de.en 	| 40.4 	| 0.649 |
| newstest2017-ende.de.en 	| 35.7 	| 0.610 |
| newstest2018-ende.de.en 	| 43.7 	| 0.667 |
| newstest2019-deen.de.en 	| 40.1 	| 0.642 |
| Tatoeba.de.en 	| 55.4 	| 0.707 |


model name: opus-mt-de-en


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-rw-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rw.es 	| 26.2 	| 0.445 |


model name: opus-mt-rw-es


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


tags:


### opus-mt-es-ber


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.ber 	| 21.8 	| 0.444 |


model name: opus-mt-es-ber


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


### opus-mt-wls-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.wls.sv 	| 23.8 	| 0.408 |


model name: opus-mt-wls-sv


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-sv-st


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.st 	| 38.8 	| 0.584 |


model name: opus-mt-sv-st


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


language:


- ar
- ru


tags:


- translation


## license: apache-2.0


### ara-rus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.rus 	| 42.5 	| 0.605 |


### System Info:


- hf_name: ara-rus
- source_languages: ara
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'ru']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-rus/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: rus
- short_pair: ar-ru
- chrF2_score: 0.605
- bleu: 42.5
- brevity_penalty: 0.97
- ref_len: 21830.0
- src_name: Arabic
- tgt_name: Russian
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: ru
- prefer_old: False
- long_pair: ara-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-ru


model author: Helsinki-NLP


task: translation


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


- no
- sv


### nor-swe


* source group: Norwegian
* target group: Swedish
* OPUS readme: [nor-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-swe/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): swe
* 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-swe/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.swe 	| 63.7 	| 0.773 |


- hf_name: nor-swe
- source_languages: nor
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'sv']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-swe/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: swe
- short_pair: no-sv
- chrF2_score: 0.773
- bleu: 63.7
- brevity_penalty: 0.9670000000000001
- ref_len: 3672.0
- src_name: Norwegian
- tgt_name: Swedish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: sv
- prefer_old: False
- long_pair: nor-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-sv


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


tags:


- translation
license: apache-2.0


### opus-mt-ln-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ln.en 	| 35.9 	| 0.516 |


model name: opus-mt-ln-en


model author: Helsinki-NLP


task: translation


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


### opus-mt-nl-en


* source languages: nl
* target languages: en
* OPUS readme: [nl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-05.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.zip)
* test set translations: [opus-2019-12-05.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.test.txt)
* test set scores: [opus-2019-12-05.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-en/opus-2019-12-05.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.nl.en 	| 60.9 	| 0.749 |


model name: opus-mt-nl-en


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


### opus-mt-lue-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.fi 	| 22.1 	| 0.427 |


model name: opus-mt-lue-fi


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-sn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sn 	| 27.4 	| 0.557 |


model name: opus-mt-sv-sn


model author: Helsinki-NLP


task: translation


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


### opus-mt-tll-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.es 	| 22.9 	| 0.403 |


model name: opus-mt-tll-es


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


language:


- tl
- pt


- translation


## license: apache-2.0


### tgl-por


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.por 	| 28.8 	| 0.522 |


### System Info:


- hf_name: tgl-por
- source_languages: tgl
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'pt']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-por/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: por
- short_pair: tl-pt
- chrF2_score: 0.522
- bleu: 28.8
- brevity_penalty: 0.981
- ref_len: 12826.0
- src_name: Tagalog
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: pt
- prefer_old: False
- long_pair: tgl-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tl-pt


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-da


* source languages: de
* target languages: da
* OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.da 	| 57.2 	| 0.730 |


model name: opus-mt-de-da


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


language:


- lt
- tr


- translation


## license: apache-2.0


### lit-tur


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.tur 	| 35.8 	| 0.648 |


### System Info:


- hf_name: lit-tur
- source_languages: lit
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'tr']
- src_constituents: {'lit'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: tur
- short_pair: lt-tr
- chrF2_score: 0.648
- bleu: 35.8
- brevity_penalty: 0.927
- ref_len: 7700.0
- src_name: Lithuanian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: tr
- prefer_old: False
- long_pair: lit-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lt-tr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-chk-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.en 	| 31.2 	| 0.465 |


model name: opus-mt-chk-en


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


### opus-mt-fr-eo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.eo 	| 52.0 	| 0.695 |


model name: opus-mt-fr-eo


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


### opus-mt-de-bi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.bi 	| 25.7 	| 0.450 |


model name: opus-mt-de-bi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ilo-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.fi 	| 27.7 	| 0.516 |


model name: opus-mt-ilo-fi


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


### opus-mt-ny-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ny.es 	| 27.9 	| 0.457 |


model name: opus-mt-ny-es


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


language:


- lt
- lv
- bat
- en


- translation


## license: apache-2.0


### bat-eng


* source group: Baltic languages
* target group: English
* OPUS readme: [bat-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bat-eng/README.md)
* model: transformer
* source language(s): lav lit ltg prg_Latn sgs
* 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/bat-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-laveng.lav.eng 	| 27.5 	| 0.566 |
| newsdev2019-enlt-liteng.lit.eng 	| 27.8 	| 0.557 |
| newstest2017-enlv-laveng.lav.eng 	| 21.1 	| 0.512 |
| newstest2019-lten-liteng.lit.eng 	| 30.2 	| 0.592 |
| Tatoeba-test.lav-eng.lav.eng 	| 51.5 	| 0.687 |
| Tatoeba-test.lit-eng.lit.eng 	| 55.1 	| 0.703 |
| Tatoeba-test.multi.eng 	| 50.6 	| 0.662 |
| Tatoeba-test.prg-eng.prg.eng 	| 1.0 	| 0.159 |
| Tatoeba-test.sgs-eng.sgs.eng 	| 16.5 	| 0.265 |


### System Info:


- hf_name: bat-eng
- source_languages: bat
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bat-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'lv', 'bat', 'en']
- src_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt
- src_alpha3: bat
- tgt_alpha3: eng
- short_pair: bat-en
- chrF2_score: 0.662
- bleu: 50.6
- brevity_penalty: 0.9890000000000001
- ref_len: 30772.0
- src_name: Baltic languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: bat
- tgt_alpha2: en
- prefer_old: False
- long_pair: bat-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bat-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, lt, lv, bat, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-efi-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.efi.en 	| 35.4 	| 0.510 |


model name: opus-mt-efi-en


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


language:


- eo
- pl


- translation


## license: apache-2.0


### epo-pol


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.pol 	| 17.2 	| 0.392 |


### System Info:


- hf_name: epo-pol
- source_languages: epo
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pl']
- src_constituents: {'epo'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: pol
- short_pair: eo-pl
- chrF2_score: 0.392
- bleu: 17.2
- brevity_penalty: 0.893
- ref_len: 15343.0
- src_name: Esperanto
- tgt_name: Polish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pl
- prefer_old: False
- long_pair: epo-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-pl


model author: Helsinki-NLP


task: translation


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


- en
- zh
tags:
- translation
license: apache-2.0


### eng-zho


* source group: English
* target group: Chinese
* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
* model: transformer
* source language(s): eng
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* 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-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.zho 	| 31.4 	| 0.268 |


- hf_name: eng-zho
- source_languages: eng
- target_languages: zho
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'zh']
- src_constituents: {'eng'}
- tgt_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'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt
- src_alpha3: eng
- tgt_alpha3: zho
- short_pair: en-zh
- chrF2_score: 0.268
- bleu: 31.4
- brevity_penalty: 0.8959999999999999
- ref_len: 110468.0
- src_name: English
- tgt_name: Chinese
- train_date: 2020-07-17
- src_alpha2: en
- tgt_alpha2: zh
- prefer_old: False
- long_pair: eng-zho
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-zh


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


language:


- it
- ms


tags:


- translation


## license: apache-2.0


### ita-msa


* source group: Italian
* target group: Malay (macrolanguage)
* OPUS readme: [ita-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): ind zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.msa 	| 26.0 	| 0.536 |


### System Info:


- hf_name: ita-msa
- source_languages: ita
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ms']
- src_constituents: {'ita'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-msa/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: msa
- short_pair: it-ms
- chrF2_score: 0.536
- bleu: 26.0
- brevity_penalty: 0.9209999999999999
- ref_len: 2765.0
- src_name: Italian
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: ms
- prefer_old: False
- long_pair: ita-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-ms


model author: Helsinki-NLP


task: translation


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


- ca
- es
- os
- ro
- fy
- cy
- sc
- is
- yi
- lb
- an
- sq
- fr
- ht
- rm
- ps
- af
- uk
- sl
- lt
- bg
- be
- gd
- si
- en
- br
- mk
- or
- mr
- ru
- fo
- co
- oc
- pl
- gl
- nb
- bn
- id
- hy
- da
- gv
- nl
- pt
- hi
- as
- kw
- ga
- sv
- gu
- wa
- lv
- el
- it
- hr
- ur
- nn
- de
- cs
- ine


### ine-eng


* source group: Indo-European languages
* target group: English
* OPUS readme: [ine-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-eng/README.md)
* model: transformer
* source language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn 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/ine-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2014-hineng.hin.eng 	| 11.2 	| 0.375 |
| newsdev2016-enro-roneng.ron.eng 	| 35.5 	| 0.614 |
| newsdev2017-enlv-laveng.lav.eng 	| 25.1 	| 0.542 |
| newsdev2019-engu-gujeng.guj.eng 	| 16.0 	| 0.420 |
| newsdev2019-enlt-liteng.lit.eng 	| 24.0 	| 0.522 |
| newsdiscussdev2015-enfr-fraeng.fra.eng 	| 30.1 	| 0.550 |
| newsdiscusstest2015-enfr-fraeng.fra.eng 	| 33.4 	| 0.572 |
| newssyscomb2009-ceseng.ces.eng 	| 24.0 	| 0.520 |
| newssyscomb2009-deueng.deu.eng 	| 25.7 	| 0.526 |
| newssyscomb2009-fraeng.fra.eng 	| 27.9 	| 0.550 |
| newssyscomb2009-itaeng.ita.eng 	| 31.4 	| 0.574 |
| newssyscomb2009-spaeng.spa.eng 	| 28.3 	| 0.555 |
| news-test2008-deueng.deu.eng 	| 24.0 	| 0.515 |
| news-test2008-fraeng.fra.eng 	| 24.5 	| 0.524 |
| news-test2008-spaeng.spa.eng 	| 25.5 	| 0.533 |
| newstest2009-ceseng.ces.eng 	| 23.3 	| 0.516 |
| newstest2009-deueng.deu.eng 	| 23.2 	| 0.512 |
| newstest2009-fraeng.fra.eng 	| 27.3 	| 0.545 |
| newstest2009-itaeng.ita.eng 	| 30.3 	| 0.567 |
| newstest2009-spaeng.spa.eng 	| 27.9 	| 0.549 |
| newstest2010-ceseng.ces.eng 	| 23.8 	| 0.523 |
| newstest2010-deueng.deu.eng 	| 26.2 	| 0.545 |
| newstest2010-fraeng.fra.eng 	| 28.6 	| 0.562 |
| newstest2010-spaeng.spa.eng 	| 31.4 	| 0.581 |
| newstest2011-ceseng.ces.eng 	| 24.2 	| 0.521 |
| newstest2011-deueng.deu.eng 	| 23.9 	| 0.522 |
| newstest2011-fraeng.fra.eng 	| 29.5 	| 0.570 |
| newstest2011-spaeng.spa.eng 	| 30.3 	| 0.570 |
| newstest2012-ceseng.ces.eng 	| 23.5 	| 0.516 |
| newstest2012-deueng.deu.eng 	| 24.9 	| 0.529 |
| newstest2012-fraeng.fra.eng 	| 30.0 	| 0.568 |
| newstest2012-ruseng.rus.eng 	| 29.9 	| 0.565 |
| newstest2012-spaeng.spa.eng 	| 33.3 	| 0.593 |
| newstest2013-ceseng.ces.eng 	| 25.6 	| 0.531 |
| newstest2013-deueng.deu.eng 	| 27.7 	| 0.545 |
| newstest2013-fraeng.fra.eng 	| 30.0 	| 0.561 |
| newstest2013-ruseng.rus.eng 	| 24.4 	| 0.514 |
| newstest2013-spaeng.spa.eng 	| 30.8 	| 0.577 |
| newstest2014-csen-ceseng.ces.eng 	| 27.7 	| 0.558 |
| newstest2014-deen-deueng.deu.eng 	| 27.7 	| 0.545 |
| newstest2014-fren-fraeng.fra.eng 	| 32.2 	| 0.592 |
| newstest2014-hien-hineng.hin.eng 	| 16.7 	| 0.450 |
| newstest2014-ruen-ruseng.rus.eng 	| 27.2 	| 0.552 |
| newstest2015-encs-ceseng.ces.eng 	| 25.4 	| 0.518 |
| newstest2015-ende-deueng.deu.eng 	| 28.8 	| 0.552 |
| newstest2015-enru-ruseng.rus.eng 	| 25.6 	| 0.527 |
| newstest2016-encs-ceseng.ces.eng 	| 27.0 	| 0.540 |
| newstest2016-ende-deueng.deu.eng 	| 33.5 	| 0.592 |
| newstest2016-enro-roneng.ron.eng 	| 32.8 	| 0.591 |
| newstest2016-enru-ruseng.rus.eng 	| 24.8 	| 0.523 |
| newstest2017-encs-ceseng.ces.eng 	| 23.7 	| 0.510 |
| newstest2017-ende-deueng.deu.eng 	| 29.3 	| 0.556 |
| newstest2017-enlv-laveng.lav.eng 	| 18.9 	| 0.486 |
| newstest2017-enru-ruseng.rus.eng 	| 28.0 	| 0.546 |
| newstest2018-encs-ceseng.ces.eng 	| 24.9 	| 0.521 |
| newstest2018-ende-deueng.deu.eng 	| 36.0 	| 0.604 |
| newstest2018-enru-ruseng.rus.eng 	| 23.8 	| 0.517 |
| newstest2019-deen-deueng.deu.eng 	| 31.5 	| 0.570 |
| newstest2019-guen-gujeng.guj.eng 	| 12.1 	| 0.377 |
| newstest2019-lten-liteng.lit.eng 	| 26.6 	| 0.555 |
| newstest2019-ruen-ruseng.rus.eng 	| 27.5 	| 0.541 |
| Tatoeba-test.afr-eng.afr.eng 	| 59.0 	| 0.724 |
| Tatoeba-test.ang-eng.ang.eng 	| 9.9 	| 0.254 |
| Tatoeba-test.arg-eng.arg.eng 	| 41.6 	| 0.487 |
| Tatoeba-test.asm-eng.asm.eng 	| 22.8 	| 0.392 |
| Tatoeba-test.ast-eng.ast.eng 	| 36.1 	| 0.521 |
| Tatoeba-test.awa-eng.awa.eng 	| 11.6 	| 0.280 |
| Tatoeba-test.bel-eng.bel.eng 	| 42.2 	| 0.597 |
| Tatoeba-test.ben-eng.ben.eng 	| 45.8 	| 0.598 |
| Tatoeba-test.bho-eng.bho.eng 	| 34.4 	| 0.518 |
| Tatoeba-test.bre-eng.bre.eng 	| 24.4 	| 0.405 |
| Tatoeba-test.bul-eng.bul.eng 	| 50.8 	| 0.660 |
| Tatoeba-test.cat-eng.cat.eng 	| 51.2 	| 0.677 |
| Tatoeba-test.ces-eng.ces.eng 	| 47.6 	| 0.641 |
| Tatoeba-test.cor-eng.cor.eng 	| 5.4 	| 0.214 |
| Tatoeba-test.cos-eng.cos.eng 	| 61.0 	| 0.675 |
| Tatoeba-test.csb-eng.csb.eng 	| 22.5 	| 0.394 |
| Tatoeba-test.cym-eng.cym.eng 	| 34.7 	| 0.522 |
| Tatoeba-test.dan-eng.dan.eng 	| 56.2 	| 0.708 |
| Tatoeba-test.deu-eng.deu.eng 	| 44.9 	| 0.625 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 21.0 	| 0.383 |
| Tatoeba-test.egl-eng.egl.eng 	| 6.9 	| 0.221 |
| Tatoeba-test.ell-eng.ell.eng 	| 62.1 	| 0.741 |
| Tatoeba-test.enm-eng.enm.eng 	| 22.6 	| 0.466 |
| Tatoeba-test.ext-eng.ext.eng 	| 33.2 	| 0.496 |
| Tatoeba-test.fao-eng.fao.eng 	| 28.1 	| 0.460 |
| Tatoeba-test.fas-eng.fas.eng 	| 9.6 	| 0.306 |
| Tatoeba-test.fra-eng.fra.eng 	| 50.3 	| 0.661 |
| Tatoeba-test.frm-eng.frm.eng 	| 30.0 	| 0.457 |
| Tatoeba-test.frr-eng.frr.eng 	| 15.2 	| 0.301 |
| Tatoeba-test.fry-eng.fry.eng 	| 34.4 	| 0.525 |
| Tatoeba-test.gcf-eng.gcf.eng 	| 18.4 	| 0.317 |
| Tatoeba-test.gla-eng.gla.eng 	| 24.1 	| 0.400 |
| Tatoeba-test.gle-eng.gle.eng 	| 52.2 	| 0.671 |
| Tatoeba-test.glg-eng.glg.eng 	| 50.5 	| 0.669 |
| Tatoeba-test.glv-eng.glv.eng 	| 5.7 	| 0.189 |
| Tatoeba-test.gos-eng.gos.eng 	| 19.2 	| 0.378 |
| Tatoeba-test.got-eng.got.eng 	| 0.1 	| 0.022 |
| Tatoeba-test.grc-eng.grc.eng 	| 0.9 	| 0.095 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 23.9 	| 0.390 |
| Tatoeba-test.guj-eng.guj.eng 	| 28.0 	| 0.428 |
| Tatoeba-test.hat-eng.hat.eng 	| 44.2 	| 0.567 |
| Tatoeba-test.hbs-eng.hbs.eng 	| 51.6 	| 0.666 |
| Tatoeba-test.hif-eng.hif.eng 	| 22.3 	| 0.451 |
| Tatoeba-test.hin-eng.hin.eng 	| 41.7 	| 0.585 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 46.4 	| 0.590 |
| Tatoeba-test.hye-eng.hye.eng 	| 40.4 	| 0.564 |
| Tatoeba-test.isl-eng.isl.eng 	| 43.8 	| 0.605 |
| Tatoeba-test.ita-eng.ita.eng 	| 60.7 	| 0.735 |
| Tatoeba-test.jdt-eng.jdt.eng 	| 5.5 	| 0.091 |
| Tatoeba-test.kok-eng.kok.eng 	| 7.8 	| 0.205 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 15.8 	| 0.284 |
| Tatoeba-test.kur-eng.kur.eng 	| 11.6 	| 0.232 |
| Tatoeba-test.lad-eng.lad.eng 	| 30.7 	| 0.484 |
| Tatoeba-test.lah-eng.lah.eng 	| 11.0 	| 0.286 |
| Tatoeba-test.lat-eng.lat.eng 	| 24.4 	| 0.432 |
| Tatoeba-test.lav-eng.lav.eng 	| 47.2 	| 0.646 |
| Tatoeba-test.lij-eng.lij.eng 	| 9.0 	| 0.287 |
| Tatoeba-test.lit-eng.lit.eng 	| 51.7 	| 0.670 |
| Tatoeba-test.lld-eng.lld.eng 	| 22.4 	| 0.369 |
| Tatoeba-test.lmo-eng.lmo.eng 	| 26.1 	| 0.381 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 39.8 	| 0.536 |
| Tatoeba-test.mai-eng.mai.eng 	| 72.3 	| 0.758 |
| Tatoeba-test.mar-eng.mar.eng 	| 32.0 	| 0.554 |
| Tatoeba-test.mfe-eng.mfe.eng 	| 63.1 	| 0.822 |
| Tatoeba-test.mkd-eng.mkd.eng 	| 49.5 	| 0.638 |
| Tatoeba-test.msa-eng.msa.eng 	| 38.6 	| 0.566 |
| Tatoeba-test.multi.eng 	| 45.6 	| 0.615 |
| Tatoeba-test.mwl-eng.mwl.eng 	| 40.4 	| 0.767 |
| Tatoeba-test.nds-eng.nds.eng 	| 35.5 	| 0.538 |
| Tatoeba-test.nep-eng.nep.eng 	| 4.9 	| 0.209 |
| Tatoeba-test.nld-eng.nld.eng 	| 54.2 	| 0.694 |
| Tatoeba-test.non-eng.non.eng 	| 39.3 	| 0.573 |
| Tatoeba-test.nor-eng.nor.eng 	| 50.9 	| 0.663 |
| Tatoeba-test.oci-eng.oci.eng 	| 19.6 	| 0.386 |
| Tatoeba-test.ori-eng.ori.eng 	| 16.2 	| 0.364 |
| Tatoeba-test.orv-eng.orv.eng 	| 13.6 	| 0.288 |
| Tatoeba-test.oss-eng.oss.eng 	| 9.4 	| 0.301 |
| Tatoeba-test.pan-eng.pan.eng 	| 17.1 	| 0.389 |
| Tatoeba-test.pap-eng.pap.eng 	| 57.0 	| 0.680 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 41.6 	| 0.526 |
| Tatoeba-test.pms-eng.pms.eng 	| 13.7 	| 0.333 |
| Tatoeba-test.pol-eng.pol.eng 	| 46.5 	| 0.632 |
| Tatoeba-test.por-eng.por.eng 	| 56.4 	| 0.710 |
| Tatoeba-test.prg-eng.prg.eng 	| 2.3 	| 0.193 |
| Tatoeba-test.pus-eng.pus.eng 	| 3.2 	| 0.194 |
| Tatoeba-test.roh-eng.roh.eng 	| 17.5 	| 0.420 |
| Tatoeba-test.rom-eng.rom.eng 	| 5.0 	| 0.237 |
| Tatoeba-test.ron-eng.ron.eng 	| 51.4 	| 0.670 |
| Tatoeba-test.rue-eng.rue.eng 	| 26.0 	| 0.447 |
| Tatoeba-test.rus-eng.rus.eng 	| 47.8 	| 0.634 |
| Tatoeba-test.san-eng.san.eng 	| 4.0 	| 0.195 |
| Tatoeba-test.scn-eng.scn.eng 	| 45.1 	| 0.440 |
| Tatoeba-test.sco-eng.sco.eng 	| 41.9 	| 0.582 |
| Tatoeba-test.sgs-eng.sgs.eng 	| 38.7 	| 0.498 |
| Tatoeba-test.sin-eng.sin.eng 	| 29.7 	| 0.499 |
| Tatoeba-test.slv-eng.slv.eng 	| 38.2 	| 0.564 |
| Tatoeba-test.snd-eng.snd.eng 	| 12.7 	| 0.342 |
| Tatoeba-test.spa-eng.spa.eng 	| 53.2 	| 0.687 |
| Tatoeba-test.sqi-eng.sqi.eng 	| 51.9 	| 0.679 |
| Tatoeba-test.stq-eng.stq.eng 	| 9.0 	| 0.391 |
| Tatoeba-test.swe-eng.swe.eng 	| 57.4 	| 0.705 |
| Tatoeba-test.swg-eng.swg.eng 	| 18.0 	| 0.338 |
| Tatoeba-test.tgk-eng.tgk.eng 	| 24.3 	| 0.413 |
| Tatoeba-test.tly-eng.tly.eng 	| 1.1 	| 0.094 |
| Tatoeba-test.ukr-eng.ukr.eng 	| 48.0 	| 0.639 |
| Tatoeba-test.urd-eng.urd.eng 	| 27.2 	| 0.471 |
| Tatoeba-test.vec-eng.vec.eng 	| 28.0 	| 0.398 |
| Tatoeba-test.wln-eng.wln.eng 	| 17.5 	| 0.320 |
| Tatoeba-test.yid-eng.yid.eng 	| 26.9 	| 0.457 |
| Tatoeba-test.zza-eng.zza.eng 	| 1.7 	| 0.131 |


- hf_name: ine-eng
- source_languages: ine
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']
- src_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.test.txt
- src_alpha3: ine
- tgt_alpha3: eng
- short_pair: ine-en
- chrF2_score: 0.615
- bleu: 45.6
- brevity_penalty: 0.997
- ref_len: 71872.0
- src_name: Indo-European languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: ine
- tgt_alpha2: en
- prefer_old: False
- long_pair: ine-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ine-en


tags: pytorch, marian, text2text-generation, ca, es, os, ro, fy, cy, sc, is, yi, lb, an, sq, fr, ht, rm, ps, af, uk, sl, lt, bg, be, gd, si, en, br, mk, or, mr, ru, fo, co, oc, pl, gl, nb, bn, id, hy, da, gv, nl, pt, hi, as, kw, ga, sv, gu, wa, lv, el, it, hr, ur, nn, de, cs, ine, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ee-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.sv 	| 28.9 	| 0.472 |


model name: opus-mt-ee-sv


model author: Helsinki-NLP


task: translation


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


language:


- sh
- uk


- translation


## license: apache-2.0


### hbs-ukr


* source group: Serbo-Croatian
* target group: Ukrainian
* OPUS readme: [hbs-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md)
* model: transformer-align
* source language(s): hrv srp_Cyrl srp_Latn
* target language(s): ukr
* 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/hbs-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hbs.ukr 	| 49.6 	| 0.665 |


### System Info:


- hf_name: hbs-ukr
- source_languages: hbs
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sh', 'uk']
- src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-ukr/opus-2020-06-17.test.txt
- src_alpha3: hbs
- tgt_alpha3: ukr
- short_pair: sh-uk
- chrF2_score: 0.665
- bleu: 49.6
- brevity_penalty: 0.9840000000000001
- ref_len: 4959.0
- src_name: Serbo-Croatian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: sh
- tgt_alpha2: uk
- prefer_old: False
- long_pair: hbs-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sh-uk


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


tags:


- translation
license: apache-2.0


### opus-mt-en-mt


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.mt 	| 47.5 	| 0.640 |
| Tatoeba.en.mt 	| 25.0 	| 0.620 |


model name: opus-mt-en-mt


model author: Helsinki-NLP


task: translation


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


### opus-mt-cs-fi