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translation | transformers |
### pol-ara
* source group: Polish
* target group: Arabic
* OPUS readme: [pol-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md)
* model: transformer
* source language(s): pol
* 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/pol-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.ara | 20.4 | 0.491 |
### System Info:
- hf_name: pol-ara
- source_languages: pol
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'ar']
- src_constituents: {'pol'}
- 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/pol-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ara/opus-2020-07-03.test.txt
- src_alpha3: pol
- tgt_alpha3: ara
- short_pair: pl-ar
- chrF2_score: 0.491
- bleu: 20.4
- brevity_penalty: 0.9590000000000001
- ref_len: 1028.0
- src_name: Polish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: pl
- tgt_alpha2: ar
- prefer_old: False
- long_pair: pol-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pl", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-ar | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pl-de
* source languages: pl
* target languages: de
* OPUS readme: [pl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.de | 47.8 | 0.665 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pl-en
* source languages: pl
* target languages: en
* OPUS readme: [pl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-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/pl-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.en | 54.9 | 0.701 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### pol-epo
* source group: Polish
* target group: Esperanto
* OPUS readme: [pol-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-epo/README.md)
* model: transformer-align
* source language(s): pol
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.epo | 24.8 | 0.451 |
### System Info:
- hf_name: pol-epo
- source_languages: pol
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'eo']
- src_constituents: {'pol'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-epo/opus-2020-06-16.test.txt
- src_alpha3: pol
- tgt_alpha3: epo
- short_pair: pl-eo
- chrF2_score: 0.451
- bleu: 24.8
- brevity_penalty: 0.9670000000000001
- ref_len: 17191.0
- src_name: Polish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: pl
- tgt_alpha2: eo
- prefer_old: False
- long_pair: pol-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pl", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pl-es
* source languages: pl
* target languages: es
* OPUS readme: [pl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-es/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.es | 46.9 | 0.654 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pl-fr
* source languages: pl
* target languages: fr
* OPUS readme: [pl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-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/pl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.fr | 49.0 | 0.659 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### pol-lit
* source group: Polish
* target group: Lithuanian
* OPUS readme: [pol-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-lit/README.md)
* model: transformer-align
* source language(s): pol
* target language(s): lit
* 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/pol-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.lit | 43.7 | 0.688 |
### System Info:
- hf_name: pol-lit
- source_languages: pol
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'lt']
- src_constituents: {'pol'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: lit
- short_pair: pl-lt
- chrF2_score: 0.688
- bleu: 43.7
- brevity_penalty: 0.981
- ref_len: 10084.0
- src_name: Polish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: lt
- prefer_old: False
- long_pair: pol-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pl", "lt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-lt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"lt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### pol-nor
* source group: Polish
* target group: Norwegian
* OPUS readme: [pol-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-nor/README.md)
* model: transformer-align
* source language(s): pol
* target language(s): nob
* 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/pol-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.nor | 27.5 | 0.479 |
### System Info:
- hf_name: pol-nor
- source_languages: pol
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'no']
- src_constituents: {'pol'}
- 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/pol-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-nor/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: nor
- short_pair: pl-no
- chrF2_score: 0.479
- bleu: 27.5
- brevity_penalty: 0.9690000000000001
- ref_len: 2045.0
- src_name: Polish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: no
- prefer_old: False
- long_pair: pol-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pl", false], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-no | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"no",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pl-sv
* source languages: pl
* target languages: sv
* OPUS readme: [pl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-sv/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/pl-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.sv | 58.9 | 0.717 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pl",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### pol-ukr
* source group: Polish
* target group: Ukrainian
* OPUS readme: [pol-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ukr/README.md)
* model: transformer-align
* source language(s): pol
* 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/pol-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.ukr | 47.1 | 0.665 |
### System Info:
- hf_name: pol-ukr
- source_languages: pol
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'uk']
- src_constituents: {'pol'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-ukr/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: ukr
- short_pair: pl-uk
- chrF2_score: 0.665
- bleu: 47.1
- brevity_penalty: 0.992
- ref_len: 13434.0
- src_name: Polish
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: pol-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pl", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pl-uk | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"pl",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pon-en
* source languages: pon
* target languages: en
* OPUS readme: [pon-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-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/pon-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.en | 34.1 | 0.489 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pon-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pon",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pon-es
* source languages: pon
* target languages: es
* OPUS readme: [pon-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-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/pon-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.es | 22.4 | 0.402 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pon-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pon",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pon-fi
* source languages: pon
* target languages: fi
* OPUS readme: [pon-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fi | 22.2 | 0.434 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pon-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pon",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pon-fr
* source languages: pon
* target languages: fr
* OPUS readme: [pon-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fr | 24.4 | 0.410 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pon-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pon",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-pon-sv
* source languages: pon
* target languages: sv
* OPUS readme: [pon-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-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/pon-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.sv | 26.4 | 0.436 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pon-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pon",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### pqe-eng
* source group: Eastern Malayo-Polynesian languages
* target group: English
* OPUS readme: [pqe-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pqe-eng/README.md)
* model: transformer
* source language(s): fij gil haw mah mri nau niu rap smo tah ton tvl
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-28.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.zip)
* test set translations: [opus-2020-06-28.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.test.txt)
* test set scores: [opus-2020-06-28.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fij-eng.fij.eng | 26.9 | 0.361 |
| Tatoeba-test.gil-eng.gil.eng | 49.0 | 0.618 |
| Tatoeba-test.haw-eng.haw.eng | 1.6 | 0.126 |
| Tatoeba-test.mah-eng.mah.eng | 13.7 | 0.257 |
| Tatoeba-test.mri-eng.mri.eng | 7.4 | 0.250 |
| Tatoeba-test.multi.eng | 12.6 | 0.268 |
| Tatoeba-test.nau-eng.nau.eng | 2.3 | 0.125 |
| Tatoeba-test.niu-eng.niu.eng | 34.4 | 0.471 |
| Tatoeba-test.rap-eng.rap.eng | 10.3 | 0.215 |
| Tatoeba-test.smo-eng.smo.eng | 28.5 | 0.413 |
| Tatoeba-test.tah-eng.tah.eng | 12.1 | 0.199 |
| Tatoeba-test.ton-eng.ton.eng | 41.8 | 0.517 |
| Tatoeba-test.tvl-eng.tvl.eng | 42.9 | 0.540 |
### System Info:
- hf_name: pqe-eng
- source_languages: pqe
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pqe-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe', 'en']
- src_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pqe-eng/opus-2020-06-28.test.txt
- src_alpha3: pqe
- tgt_alpha3: eng
- short_pair: pqe-en
- chrF2_score: 0.268
- bleu: 12.6
- brevity_penalty: 1.0
- ref_len: 4568.0
- src_name: Eastern Malayo-Polynesian languages
- tgt_name: English
- train_date: 2020-06-28
- src_alpha2: pqe
- tgt_alpha2: en
- prefer_old: False
- long_pair: pqe-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fj", "mi", "ty", "to", "na", "sm", "mh", "pqe", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pqe-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fj",
"mi",
"ty",
"to",
"na",
"sm",
"mh",
"pqe",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-prl-es
* source languages: prl
* target languages: es
* OPUS readme: [prl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/prl-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/prl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/prl-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.prl.es | 93.3 | 0.955 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-prl-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"prl",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### por-cat
* source group: Portuguese
* target group: Catalan
* OPUS readme: [por-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md)
* model: transformer-align
* source language(s): por
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.cat | 45.7 | 0.672 |
### System Info:
- hf_name: por-cat
- source_languages: por
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'ca']
- src_constituents: {'por'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: cat
- short_pair: pt-ca
- chrF2_score: 0.672
- bleu: 45.7
- brevity_penalty: 0.972
- ref_len: 5878.0
- src_name: Portuguese
- tgt_name: Catalan
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: ca
- prefer_old: False
- long_pair: por-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pt", "ca"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pt-ca | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pt",
"ca",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### por-epo
* source group: Portuguese
* target group: Esperanto
* OPUS readme: [por-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md)
* model: transformer-align
* source language(s): por
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.epo | 26.8 | 0.497 |
### System Info:
- hf_name: por-epo
- source_languages: por
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'eo']
- src_constituents: {'por'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt
- src_alpha3: por
- tgt_alpha3: epo
- short_pair: pt-eo
- chrF2_score: 0.49700000000000005
- bleu: 26.8
- brevity_penalty: 0.948
- ref_len: 87408.0
- src_name: Portuguese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: pt
- tgt_alpha2: eo
- prefer_old: False
- long_pair: por-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pt", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pt-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pt",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### por-glg
* source group: Portuguese
* target group: Galician
* OPUS readme: [por-glg](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-glg/README.md)
* model: transformer-align
* source language(s): por
* target language(s): glg
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.glg | 55.8 | 0.737 |
### System Info:
- hf_name: por-glg
- source_languages: por
- target_languages: glg
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-glg/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'gl']
- src_constituents: {'por'}
- tgt_constituents: {'glg'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-glg/opus-2020-06-16.test.txt
- src_alpha3: por
- tgt_alpha3: glg
- short_pair: pt-gl
- chrF2_score: 0.737
- bleu: 55.8
- brevity_penalty: 0.996
- ref_len: 2989.0
- src_name: Portuguese
- tgt_name: Galician
- train_date: 2020-06-16
- src_alpha2: pt
- tgt_alpha2: gl
- prefer_old: False
- long_pair: por-glg
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pt", "gl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pt-gl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pt",
"gl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### por-tgl
* source group: Portuguese
* target group: Tagalog
* OPUS readme: [por-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md)
* model: transformer-align
* source language(s): por
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.tgl | 28.4 | 0.565 |
### System Info:
- hf_name: por-tgl
- source_languages: por
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'tl']
- src_constituents: {'por'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-tgl/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: tgl
- short_pair: pt-tl
- chrF2_score: 0.565
- bleu: 28.4
- brevity_penalty: 1.0
- ref_len: 13620.0
- src_name: Portuguese
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: tl
- prefer_old: False
- long_pair: por-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pt", "tl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pt-tl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pt",
"tl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### por-ukr
* source group: Portuguese
* target group: Ukrainian
* OPUS readme: [por-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-ukr/README.md)
* model: transformer-align
* source language(s): por
* 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/por-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.ukr | 39.8 | 0.616 |
### System Info:
- hf_name: por-ukr
- source_languages: por
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'uk']
- src_constituents: {'por'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: ukr
- short_pair: pt-uk
- chrF2_score: 0.616
- bleu: 39.8
- brevity_penalty: 0.9990000000000001
- ref_len: 18933.0
- src_name: Portuguese
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: uk
- prefer_old: False
- long_pair: por-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["pt", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-pt-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"pt",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### run-deu
* source group: Rundi
* target group: German
* OPUS readme: [run-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-deu/README.md)
* model: transformer-align
* source language(s): run
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.deu | 17.1 | 0.344 |
### System Info:
- hf_name: run-deu
- source_languages: run
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'de']
- src_constituents: {'run'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-deu/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: deu
- short_pair: rn-de
- chrF2_score: 0.344
- bleu: 17.1
- brevity_penalty: 0.961
- ref_len: 10562.0
- src_name: Rundi
- tgt_name: German
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: de
- prefer_old: False
- long_pair: run-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["rn", "de"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rn-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rn",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### run-eng
* source group: Rundi
* target group: English
* OPUS readme: [run-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-eng/README.md)
* model: transformer-align
* source language(s): run
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.eng | 26.7 | 0.428 |
### System Info:
- hf_name: run-eng
- source_languages: run
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'en']
- src_constituents: {'run'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-eng/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: eng
- short_pair: rn-en
- chrF2_score: 0.428
- bleu: 26.7
- brevity_penalty: 0.99
- ref_len: 10041.0
- src_name: Rundi
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: en
- prefer_old: False
- long_pair: run-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["rn", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rn-en | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"rn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### run-spa
* source group: Rundi
* target group: Spanish
* OPUS readme: [run-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md)
* model: transformer-align
* source language(s): run
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.spa | 14.4 | 0.376 |
### System Info:
- hf_name: run-spa
- source_languages: run
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'es']
- src_constituents: {'run'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-spa/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: spa
- short_pair: rn-es
- chrF2_score: 0.376
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 5167.0
- src_name: Rundi
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: es
- prefer_old: False
- long_pair: run-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["rn", "es"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rn-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rn",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### run-fra
* source group: Rundi
* target group: French
* OPUS readme: [run-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md)
* model: transformer-align
* source language(s): run
* target language(s): fra
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.fra | 18.2 | 0.397 |
### System Info:
- hf_name: run-fra
- source_languages: run
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'fr']
- src_constituents: {'run'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-fra/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: fra
- short_pair: rn-fr
- chrF2_score: 0.397
- bleu: 18.2
- brevity_penalty: 1.0
- ref_len: 7496.0
- src_name: Rundi
- tgt_name: French
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: fr
- prefer_old: False
- long_pair: run-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["rn", "fr"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rn-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rn",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### run-rus
* source group: Rundi
* target group: Russian
* OPUS readme: [run-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md)
* model: transformer-align
* source language(s): run
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.rus | 17.1 | 0.321 |
### System Info:
- hf_name: run-rus
- source_languages: run
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'ru']
- src_constituents: {'run'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: rus
- short_pair: rn-ru
- chrF2_score: 0.321
- bleu: 17.1
- brevity_penalty: 1.0
- ref_len: 6635.0
- src_name: Rundi
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: ru
- prefer_old: False
- long_pair: run-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["rn", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rn-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rn",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rnd-en
* source languages: rnd
* target languages: en
* OPUS readme: [rnd-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-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/rnd-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.en | 37.8 | 0.531 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rnd-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rnd",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rnd-fr
* source languages: rnd
* target languages: fr
* OPUS readme: [rnd-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-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/rnd-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.fr | 22.1 | 0.392 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rnd-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rnd",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rnd-sv
* source languages: rnd
* target languages: sv
* OPUS readme: [rnd-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-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/rnd-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rnd-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rnd.sv | 21.2 | 0.387 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rnd-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rnd",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ron-epo
* source group: Romanian
* target group: Esperanto
* OPUS readme: [ron-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md)
* model: transformer-align
* source language(s): ron
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ron.epo | 27.8 | 0.495 |
### System Info:
- hf_name: ron-epo
- source_languages: ron
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ron-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ro', 'eo']
- src_constituents: {'ron'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ron-epo/opus-2020-06-16.test.txt
- src_alpha3: ron
- tgt_alpha3: epo
- short_pair: ro-eo
- chrF2_score: 0.495
- bleu: 27.8
- brevity_penalty: 0.955
- ref_len: 25751.0
- src_name: Romanian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ro
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ron-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ro", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ro-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ro",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ro-fi
* source languages: ro
* target languages: fi
* OPUS readme: [ro-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ro.fi | 25.2 | 0.521 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ro-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ro",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ro-fr
* source languages: ro
* target languages: fr
* OPUS readme: [ro-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-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/ro-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ro.fr | 54.5 | 0.697 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ro-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ro",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ro-sv
* source languages: ro
* target languages: sv
* OPUS readme: [ro-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-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/ro-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ro.sv | 31.2 | 0.529 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ro-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ro",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### roa-eng
* source group: Romance languages
* target group: English
* OPUS readme: [roa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/README.md)
* model: transformer
* source language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
* 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/roa-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-roneng.ron.eng | 37.1 | 0.631 |
| newsdiscussdev2015-enfr-fraeng.fra.eng | 31.6 | 0.564 |
| newsdiscusstest2015-enfr-fraeng.fra.eng | 36.1 | 0.592 |
| newssyscomb2009-fraeng.fra.eng | 29.3 | 0.563 |
| newssyscomb2009-itaeng.ita.eng | 33.1 | 0.589 |
| newssyscomb2009-spaeng.spa.eng | 29.2 | 0.562 |
| news-test2008-fraeng.fra.eng | 25.2 | 0.533 |
| news-test2008-spaeng.spa.eng | 26.6 | 0.542 |
| newstest2009-fraeng.fra.eng | 28.6 | 0.557 |
| newstest2009-itaeng.ita.eng | 32.0 | 0.580 |
| newstest2009-spaeng.spa.eng | 28.9 | 0.559 |
| newstest2010-fraeng.fra.eng | 29.9 | 0.573 |
| newstest2010-spaeng.spa.eng | 33.3 | 0.596 |
| newstest2011-fraeng.fra.eng | 31.2 | 0.585 |
| newstest2011-spaeng.spa.eng | 32.3 | 0.584 |
| newstest2012-fraeng.fra.eng | 31.3 | 0.580 |
| newstest2012-spaeng.spa.eng | 35.3 | 0.606 |
| newstest2013-fraeng.fra.eng | 31.9 | 0.575 |
| newstest2013-spaeng.spa.eng | 32.8 | 0.592 |
| newstest2014-fren-fraeng.fra.eng | 34.6 | 0.611 |
| newstest2016-enro-roneng.ron.eng | 35.8 | 0.614 |
| Tatoeba-test.arg-eng.arg.eng | 38.7 | 0.512 |
| Tatoeba-test.ast-eng.ast.eng | 35.2 | 0.520 |
| Tatoeba-test.cat-eng.cat.eng | 54.9 | 0.703 |
| Tatoeba-test.cos-eng.cos.eng | 68.1 | 0.666 |
| Tatoeba-test.egl-eng.egl.eng | 6.7 | 0.209 |
| Tatoeba-test.ext-eng.ext.eng | 24.2 | 0.427 |
| Tatoeba-test.fra-eng.fra.eng | 53.9 | 0.691 |
| Tatoeba-test.frm-eng.frm.eng | 25.7 | 0.423 |
| Tatoeba-test.gcf-eng.gcf.eng | 14.8 | 0.288 |
| Tatoeba-test.glg-eng.glg.eng | 54.6 | 0.703 |
| Tatoeba-test.hat-eng.hat.eng | 37.0 | 0.540 |
| Tatoeba-test.ita-eng.ita.eng | 64.8 | 0.768 |
| Tatoeba-test.lad-eng.lad.eng | 21.7 | 0.452 |
| Tatoeba-test.lij-eng.lij.eng | 11.2 | 0.299 |
| Tatoeba-test.lld-eng.lld.eng | 10.8 | 0.273 |
| Tatoeba-test.lmo-eng.lmo.eng | 5.8 | 0.260 |
| Tatoeba-test.mfe-eng.mfe.eng | 63.1 | 0.819 |
| Tatoeba-test.msa-eng.msa.eng | 40.9 | 0.592 |
| Tatoeba-test.multi.eng | 54.9 | 0.697 |
| Tatoeba-test.mwl-eng.mwl.eng | 44.6 | 0.674 |
| Tatoeba-test.oci-eng.oci.eng | 20.5 | 0.404 |
| Tatoeba-test.pap-eng.pap.eng | 56.2 | 0.669 |
| Tatoeba-test.pms-eng.pms.eng | 10.3 | 0.324 |
| Tatoeba-test.por-eng.por.eng | 59.7 | 0.738 |
| Tatoeba-test.roh-eng.roh.eng | 14.8 | 0.378 |
| Tatoeba-test.ron-eng.ron.eng | 55.2 | 0.703 |
| Tatoeba-test.scn-eng.scn.eng | 10.2 | 0.259 |
| Tatoeba-test.spa-eng.spa.eng | 56.2 | 0.714 |
| Tatoeba-test.vec-eng.vec.eng | 13.8 | 0.317 |
| Tatoeba-test.wln-eng.wln.eng | 17.3 | 0.323 |
### System Info:
- hf_name: roa-eng
- source_languages: roa
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/roa-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa', 'en']
- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/roa-eng/opus2m-2020-08-01.test.txt
- src_alpha3: roa
- tgt_alpha3: eng
- short_pair: roa-en
- chrF2_score: 0.6970000000000001
- bleu: 54.9
- brevity_penalty: 0.9790000000000001
- ref_len: 74762.0
- src_name: Romance languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: roa
- tgt_alpha2: en
- prefer_old: False
- long_pair: roa-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-roa-en | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"roa",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-afr
* source group: Russian
* target group: Afrikaans
* OPUS readme: [rus-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): afr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.afr | 48.1 | 0.669 |
### System Info:
- hf_name: rus-afr
- source_languages: rus
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'af']
- src_constituents: {'rus'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-afr/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: afr
- short_pair: ru-af
- chrF2_score: 0.669
- bleu: 48.1
- brevity_penalty: 1.0
- ref_len: 1390.0
- src_name: Russian
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: af
- prefer_old: False
- long_pair: rus-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "af"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-af | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"af",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-ara
* source group: Russian
* target group: Arabic
* OPUS readme: [rus-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ara/README.md)
* model: transformer
* source language(s): rus
* target language(s): apc 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/rus-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.ara | 16.6 | 0.486 |
### System Info:
- hf_name: rus-ara
- source_languages: rus
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'ar']
- src_constituents: {'rus'}
- 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/rus-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ara/opus-2020-07-03.test.txt
- src_alpha3: rus
- tgt_alpha3: ara
- short_pair: ru-ar
- chrF2_score: 0.486
- bleu: 16.6
- brevity_penalty: 0.9690000000000001
- ref_len: 18878.0
- src_name: Russian
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: ru
- tgt_alpha2: ar
- prefer_old: False
- long_pair: rus-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-ar | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-bul
* source group: Russian
* target group: Bulgarian
* OPUS readme: [rus-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md)
* model: transformer
* source language(s): rus
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.bul | 52.3 | 0.704 |
### System Info:
- hf_name: rus-bul
- source_languages: rus
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'bg']
- src_constituents: {'rus'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt
- src_alpha3: rus
- tgt_alpha3: bul
- short_pair: ru-bg
- chrF2_score: 0.7040000000000001
- bleu: 52.3
- brevity_penalty: 0.919
- ref_len: 8272.0
- src_name: Russian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: ru
- tgt_alpha2: bg
- prefer_old: False
- long_pair: rus-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "bg"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-bg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-dan
* source group: Russian
* target group: Danish
* OPUS readme: [rus-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.dan | 56.6 | 0.714 |
### System Info:
- hf_name: rus-dan
- source_languages: rus
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'da']
- src_constituents: {'rus'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-dan/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: dan
- short_pair: ru-da
- chrF2_score: 0.7140000000000001
- bleu: 56.6
- brevity_penalty: 0.977
- ref_len: 11746.0
- src_name: Russian
- tgt_name: Danish
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: da
- prefer_old: False
- long_pair: rus-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "da"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-da | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ru-en
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#citation-information)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
## Model Details
**Model Description:**
- **Developed by:** Language Technology Research Group at the University of Helsinki
- **Model Type:** Transformer-align
- **Language(s):**
- Source Language: Russian
- Target Language: English
- **License:** CC-BY-4.0
- **Resources for more information:**
- [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
## Uses
#### Direct Use
This model can be used for translation and text-to-text generation.
## Risks, Limitations and Biases
**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.**
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
Further details about the dataset for this model can be found in the OPUS readme: [ru-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-en/README.md)
## Training
#### Training Data
##### Preprocessing
* Pre-processing: Normalization + SentencePiece
* Dataset: [opus](https://github.com/Helsinki-NLP/Opus-MT)
* Download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.zip)
* Test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.test.txt)
## Evaluation
#### Results
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.eval.txt)
#### Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.en | 34.8 | 0.603 |
| newstest2013.ru.en | 27.9 | 0.545 |
| newstest2014-ruen.ru.en | 31.9 | 0.591 |
| newstest2015-enru.ru.en | 30.4 | 0.568 |
| newstest2016-enru.ru.en | 30.1 | 0.565 |
| newstest2017-enru.ru.en | 33.4 | 0.593 |
| newstest2018-enru.ru.en | 29.6 | 0.565 |
| newstest2019-ruen.ru.en | 31.4 | 0.576 |
| Tatoeba.ru.en | 61.1 | 0.736 |
## Citation Information
```bibtex
@InProceedings{TiedemannThottingal:EAMT2020,
author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
year = {2020},
address = {Lisbon, Portugal}
}
```
## How to Get Started With the Model
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-en")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-en")
```
| {"license": "cc-by-4.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-en | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"ru",
"en",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-epo
* source group: Russian
* target group: Esperanto
* OPUS readme: [rus-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.epo | 24.2 | 0.436 |
### System Info:
- hf_name: rus-epo
- source_languages: rus
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'eo']
- src_constituents: {'rus'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-epo/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: epo
- short_pair: ru-eo
- chrF2_score: 0.436
- bleu: 24.2
- brevity_penalty: 0.925
- ref_len: 77197.0
- src_name: Russian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: eo
- prefer_old: False
- long_pair: rus-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ru-es
* source languages: ru
* target languages: es
* OPUS readme: [ru-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-es/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.es | 26.1 | 0.527 |
| newstest2013.ru.es | 28.2 | 0.538 |
| Tatoeba.ru.es | 49.4 | 0.675 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-est
* source group: Russian
* target group: Estonian
* OPUS readme: [rus-est](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-est/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): est
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.est | 57.5 | 0.749 |
### System Info:
- hf_name: rus-est
- source_languages: rus
- target_languages: est
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-est/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'et']
- src_constituents: {'rus'}
- tgt_constituents: {'est'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-est/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: est
- short_pair: ru-et
- chrF2_score: 0.7490000000000001
- bleu: 57.5
- brevity_penalty: 0.975
- ref_len: 3572.0
- src_name: Russian
- tgt_name: Estonian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: et
- prefer_old: False
- long_pair: rus-est
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "et"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-et | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"et",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-eus
* source group: Russian
* target group: Basque
* OPUS readme: [rus-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-eus/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): eus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.eus | 29.7 | 0.539 |
### System Info:
- hf_name: rus-eus
- source_languages: rus
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'eu']
- src_constituents: {'rus'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: eus
- short_pair: ru-eu
- chrF2_score: 0.539
- bleu: 29.7
- brevity_penalty: 0.9440000000000001
- ref_len: 2373.0
- src_name: Russian
- tgt_name: Basque
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: eu
- prefer_old: False
- long_pair: rus-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "eu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-eu | null | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"ru",
"eu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ru-fi
* source languages: ru
* target languages: fi
* OPUS readme: [ru-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fi/opus-2020-04-12.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ru.fi | 40.1 | 0.646 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ru-fr
* source languages: ru
* target languages: fr
* OPUS readme: [ru-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-fr/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.fr | 18.3 | 0.497 |
| newstest2013.ru.fr | 21.6 | 0.516 |
| Tatoeba.ru.fr | 51.5 | 0.670 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-fr | null | [
"transformers",
"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"ru",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ru-he
* source group: Russian
* target group: Hebrew
* OPUS readme: [rus-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md)
* model: transformer
* source language(s): rus
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.heb | 36.1 | 0.569 |
### System Info:
- hf_name: ru-he
- source_languages: rus
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'he']
- src_constituents: ('Russian', {'rus'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: rus-heb
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt
- src_alpha3: rus
- tgt_alpha3: heb
- chrF2_score: 0.569
- bleu: 36.1
- brevity_penalty: 0.9990000000000001
- ref_len: 15028.0
- src_name: Russian
- tgt_name: Hebrew
- train_date: 2020-10-04 00:00:00
- src_alpha2: ru
- tgt_alpha2: he
- prefer_old: False
- short_pair: ru-he
- helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
- transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
- port_machine: LM0-400-22516.local
- port_time: 2020-10-26-16:16 | {"language": ["ru", "he"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-he | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-hye
* source group: Russian
* target group: Armenian
* OPUS readme: [rus-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): hye hye_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.hye | 21.7 | 0.494 |
### System Info:
- hf_name: rus-hye
- source_languages: rus
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'hy']
- src_constituents: {'rus'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: hye
- short_pair: ru-hy
- chrF2_score: 0.494
- bleu: 21.7
- brevity_penalty: 1.0
- ref_len: 1602.0
- src_name: Russian
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: hy
- prefer_old: False
- long_pair: rus-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "hy"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-hy | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"hy",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-lit
* source group: Russian
* target group: Lithuanian
* OPUS readme: [rus-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lit/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.lit | 43.5 | 0.675 |
### System Info:
- hf_name: rus-lit
- source_languages: rus
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'lt']
- src_constituents: {'rus'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lit/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: lit
- short_pair: ru-lt
- chrF2_score: 0.675
- bleu: 43.5
- brevity_penalty: 0.937
- ref_len: 14406.0
- src_name: Russian
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: lt
- prefer_old: False
- long_pair: rus-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "lt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-lt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"lt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-lav
* source group: Russian
* target group: Latvian
* OPUS readme: [rus-lav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): lav
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.lav | 50.0 | 0.696 |
### System Info:
- hf_name: rus-lav
- source_languages: rus
- target_languages: lav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'lv']
- src_constituents: {'rus'}
- tgt_constituents: {'lav'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: lav
- short_pair: ru-lv
- chrF2_score: 0.696
- bleu: 50.0
- brevity_penalty: 0.968
- ref_len: 1518.0
- src_name: Russian
- tgt_name: Latvian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: lv
- prefer_old: False
- long_pair: rus-lav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "lv"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-lv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"lv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-nor
* source group: Russian
* target group: Norwegian
* OPUS readme: [rus-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md)
* model: transformer-align
* source language(s): rus
* 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/rus-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.nor | 20.3 | 0.418 |
### System Info:
- hf_name: rus-nor
- source_languages: rus
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'no']
- src_constituents: {'rus'}
- 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/rus-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-nor/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: nor
- short_pair: ru-no
- chrF2_score: 0.418
- bleu: 20.3
- brevity_penalty: 0.946
- ref_len: 11686.0
- src_name: Russian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: no
- prefer_old: False
- long_pair: rus-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", false], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-no | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"no",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-slv
* source group: Russian
* target group: Slovenian
* OPUS readme: [rus-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): slv
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.slv | 32.3 | 0.492 |
### System Info:
- hf_name: rus-slv
- source_languages: rus
- target_languages: slv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'sl']
- src_constituents: {'rus'}
- tgt_constituents: {'slv'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-slv/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: slv
- short_pair: ru-sl
- chrF2_score: 0.49200000000000005
- bleu: 32.3
- brevity_penalty: 0.992
- ref_len: 2135.0
- src_name: Russian
- tgt_name: Slovenian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: sl
- prefer_old: False
- long_pair: rus-slv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "sl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-sl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"sl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-swe
* source group: Russian
* target group: Swedish
* OPUS readme: [rus-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-swe/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): swe
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.swe | 51.9 | 0.677 |
### System Info:
- hf_name: rus-swe
- source_languages: rus
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'sv']
- src_constituents: {'rus'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: swe
- short_pair: ru-sv
- chrF2_score: 0.677
- bleu: 51.9
- brevity_penalty: 0.968
- ref_len: 8449.0
- src_name: Russian
- tgt_name: Swedish
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: sv
- prefer_old: False
- long_pair: rus-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "sv"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-ukr
* source group: Russian
* target group: Ukrainian
* OPUS readme: [rus-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ukr/README.md)
* model: transformer-align
* source language(s): rus
* 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/rus-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.ukr | 64.0 | 0.793 |
### System Info:
- hf_name: rus-ukr
- source_languages: rus
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'uk']
- src_constituents: {'rus'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-ukr/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: ukr
- short_pair: ru-uk
- chrF2_score: 0.7929999999999999
- bleu: 64.0
- brevity_penalty: 0.99
- ref_len: 60212.0
- src_name: Russian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: uk
- prefer_old: False
- long_pair: rus-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ru",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### rus-vie
* source group: Russian
* target group: Vietnamese
* OPUS readme: [rus-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-vie/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.vie | 16.9 | 0.346 |
### System Info:
- hf_name: rus-vie
- source_languages: rus
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'vi']
- src_constituents: {'rus'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-vie/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: vie
- short_pair: ru-vi
- chrF2_score: 0.34600000000000003
- bleu: 16.9
- brevity_penalty: 1.0
- ref_len: 2566.0
- src_name: Russian
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: vi
- prefer_old: False
- long_pair: rus-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ru", "vi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ru-vi | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"ru",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-run-en
* source languages: run
* target languages: en
* OPUS readme: [run-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.run.en | 42.7 | 0.583 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-run-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"run",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-run-es
* source languages: run
* target languages: es
* OPUS readme: [run-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-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/run-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.run.es | 26.9 | 0.452 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-run-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"run",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-run-sv
* source languages: run
* target languages: sv
* OPUS readme: [run-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-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/run-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/run-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.run.sv | 30.1 | 0.484 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-run-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"run",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rw-en
* source languages: rw
* target languages: en
* OPUS readme: [rw-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-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/rw-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rw.en | 37.3 | 0.530 |
| Tatoeba.rw.en | 49.8 | 0.643 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rw-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rw",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### 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 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rw-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rw",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rw-fr
* source languages: rw
* target languages: fr
* OPUS readme: [rw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-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/rw-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rw.fr | 26.7 | 0.443 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rw-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rw",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-rw-sv
* source languages: rw
* target languages: sv
* OPUS readme: [rw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-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/rw-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/rw-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.rw.sv | 29.1 | 0.476 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-rw-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"rw",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### sal-eng
* source group: Salishan languages
* target group: English
* OPUS readme: [sal-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sal-eng/README.md)
* model: transformer
* source language(s): shs_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.zip)
* test set translations: [opus-2020-07-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.test.txt)
* test set scores: [opus-2020-07-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng | 38.7 | 0.572 |
| Tatoeba-test.shs.eng | 2.2 | 0.097 |
| Tatoeba-test.shs-eng.shs.eng | 2.2 | 0.097 |
### System Info:
- hf_name: sal-eng
- source_languages: sal
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sal-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sal', 'en']
- src_constituents: {'shs_Latn'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sal-eng/opus-2020-07-14.test.txt
- src_alpha3: sal
- tgt_alpha3: eng
- short_pair: sal-en
- chrF2_score: 0.09699999999999999
- bleu: 2.2
- brevity_penalty: 0.8190000000000001
- ref_len: 222.0
- src_name: Salishan languages
- tgt_name: English
- train_date: 2020-07-14
- src_alpha2: sal
- tgt_alpha2: en
- prefer_old: False
- long_pair: sal-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["sal", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sal-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sal",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### sem-eng
* source group: Semitic languages
* target group: English
* OPUS readme: [sem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md)
* model: transformer
* source language(s): acm afb amh apc ara arq ary arz heb mlt tir
* 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/sem-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.amh-eng.amh.eng | 37.5 | 0.565 |
| Tatoeba-test.ara-eng.ara.eng | 38.9 | 0.566 |
| Tatoeba-test.heb-eng.heb.eng | 44.6 | 0.610 |
| Tatoeba-test.mlt-eng.mlt.eng | 53.7 | 0.688 |
| Tatoeba-test.multi.eng | 41.7 | 0.588 |
| Tatoeba-test.tir-eng.tir.eng | 18.3 | 0.370 |
### System Info:
- hf_name: sem-eng
- source_languages: sem
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en']
- src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt
- src_alpha3: sem
- tgt_alpha3: eng
- short_pair: sem-en
- chrF2_score: 0.588
- bleu: 41.7
- brevity_penalty: 0.987
- ref_len: 72950.0
- src_name: Semitic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: sem
- tgt_alpha2: en
- prefer_old: False
- long_pair: sem-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["mt", "ar", "he", "ti", "am", "sem", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sem-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"mt",
"ar",
"he",
"ti",
"am",
"sem",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### sem-sem
* source group: Semitic languages
* target group: Semitic languages
* OPUS readme: [sem-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md)
* model: transformer
* source language(s): apc ara arq arz heb mlt
* target language(s): apc ara arq arz heb mlt
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara-ara.ara.ara | 4.2 | 0.200 |
| Tatoeba-test.ara-heb.ara.heb | 34.0 | 0.542 |
| Tatoeba-test.ara-mlt.ara.mlt | 16.6 | 0.513 |
| Tatoeba-test.heb-ara.heb.ara | 18.8 | 0.477 |
| Tatoeba-test.mlt-ara.mlt.ara | 20.7 | 0.388 |
| Tatoeba-test.multi.multi | 27.1 | 0.507 |
### System Info:
- hf_name: sem-sem
- source_languages: sem
- target_languages: sem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem']
- src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-sem/opus-2020-07-27.test.txt
- src_alpha3: sem
- tgt_alpha3: sem
- short_pair: sem-sem
- chrF2_score: 0.507
- bleu: 27.1
- brevity_penalty: 0.972
- ref_len: 13472.0
- src_name: Semitic languages
- tgt_name: Semitic languages
- train_date: 2020-07-27
- src_alpha2: sem
- tgt_alpha2: sem
- prefer_old: False
- long_pair: sem-sem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["mt", "ar", "he", "ti", "am", "sem"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sem-sem | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"mt",
"ar",
"he",
"ti",
"am",
"sem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sg-en
* source languages: sg
* target languages: en
* OPUS readme: [sg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-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/sg-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.en | 32.0 | 0.477 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sg-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sg",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sg-es
* source languages: sg
* target languages: es
* OPUS readme: [sg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-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/sg-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.es | 21.3 | 0.385 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sg-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sg",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sg-fi
* source languages: sg
* target languages: fi
* OPUS readme: [sg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.fi | 22.7 | 0.438 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sg-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sg",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sg-fr
* source languages: sg
* target languages: fr
* OPUS readme: [sg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-fr/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.fr | 24.9 | 0.420 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sg-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sg",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sg-sv
* source languages: sg
* target languages: sv
* OPUS readme: [sg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sg-sv/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sg.sv | 25.3 | 0.428 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sg-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sg",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### hbs-epo
* source group: Serbo-Croatian
* target group: Esperanto
* OPUS readme: [hbs-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md)
* model: transformer-align
* source language(s): bos_Latn hrv srp_Cyrl srp_Latn
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hbs.epo | 18.7 | 0.383 |
### System Info:
- hf_name: hbs-epo
- source_languages: hbs
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sh', 'eo']
- src_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hbs-epo/opus-2020-06-16.test.txt
- src_alpha3: hbs
- tgt_alpha3: epo
- short_pair: sh-eo
- chrF2_score: 0.38299999999999995
- bleu: 18.7
- brevity_penalty: 0.9990000000000001
- ref_len: 18457.0
- src_name: Serbo-Croatian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: sh
- tgt_alpha2: eo
- prefer_old: False
- long_pair: hbs-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["sh", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sh-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sh",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### 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 | {"language": ["sh", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sh-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sh",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sk-en
* source languages: sk
* target languages: en
* OPUS readme: [sk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-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/sk-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sk.en | 42.2 | 0.612 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sk-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sk-es
* source languages: sk
* target languages: es
* OPUS readme: [sk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-es/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sk.es | 29.6 | 0.505 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sk-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sk-fi
* source languages: sk
* target languages: fi
* OPUS readme: [sk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sk.fi | 27.6 | 0.544 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sk-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sk-fr
* source languages: sk
* target languages: fr
* OPUS readme: [sk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-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/sk-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sk.fr | 29.4 | 0.508 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sk-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sk-sv
* source languages: sk
* target languages: sv
* OPUS readme: [sk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-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/sk-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sk-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sk.sv | 33.1 | 0.544 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sk-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sk",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sl-es
* source languages: sl
* target languages: es
* OPUS readme: [sl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-es/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sl.es | 26.3 | 0.483 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sl-fi
* source languages: sl
* target languages: fi
* OPUS readme: [sl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sl.fi | 23.4 | 0.517 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sl-fr
* source languages: sl
* target languages: fr
* OPUS readme: [sl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-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/sl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sl.fr | 25.0 | 0.475 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### slv-rus
* source group: Slovenian
* target group: Russian
* OPUS readme: [slv-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md)
* model: transformer-align
* source language(s): slv
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.slv.rus | 37.3 | 0.504 |
### System Info:
- hf_name: slv-rus
- source_languages: slv
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sl', 'ru']
- src_constituents: {'slv'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt
- src_alpha3: slv
- tgt_alpha3: rus
- short_pair: sl-ru
- chrF2_score: 0.504
- bleu: 37.3
- brevity_penalty: 0.988
- ref_len: 2101.0
- src_name: Slovenian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: sl
- tgt_alpha2: ru
- prefer_old: False
- long_pair: slv-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["sl", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sl-sv
* source languages: sl
* target languages: sv
* OPUS readme: [sl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sl-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sl.sv | 27.8 | 0.509 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### slv-ukr
* source group: Slovenian
* target group: Ukrainian
* OPUS readme: [slv-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md)
* model: transformer-align
* source language(s): slv
* 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/slv-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.slv.ukr | 10.6 | 0.236 |
### System Info:
- hf_name: slv-ukr
- source_languages: slv
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sl', 'uk']
- src_constituents: {'slv'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-ukr/opus-2020-06-17.test.txt
- src_alpha3: slv
- tgt_alpha3: ukr
- short_pair: sl-uk
- chrF2_score: 0.23600000000000002
- bleu: 10.6
- brevity_penalty: 1.0
- ref_len: 3906.0
- src_name: Slovenian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: sl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: slv-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["sl", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sl-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sl",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### sla-eng
* source group: Slavic languages
* target group: English
* OPUS readme: [sla-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md)
* model: transformer
* source language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
* 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/sla-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-ceseng.ces.eng | 26.7 | 0.542 |
| newstest2009-ceseng.ces.eng | 25.2 | 0.534 |
| newstest2010-ceseng.ces.eng | 25.9 | 0.545 |
| newstest2011-ceseng.ces.eng | 26.8 | 0.544 |
| newstest2012-ceseng.ces.eng | 25.6 | 0.536 |
| newstest2012-ruseng.rus.eng | 32.5 | 0.588 |
| newstest2013-ceseng.ces.eng | 28.8 | 0.556 |
| newstest2013-ruseng.rus.eng | 26.4 | 0.532 |
| newstest2014-csen-ceseng.ces.eng | 31.4 | 0.591 |
| newstest2014-ruen-ruseng.rus.eng | 29.6 | 0.576 |
| newstest2015-encs-ceseng.ces.eng | 28.2 | 0.545 |
| newstest2015-enru-ruseng.rus.eng | 28.1 | 0.551 |
| newstest2016-encs-ceseng.ces.eng | 30.0 | 0.567 |
| newstest2016-enru-ruseng.rus.eng | 27.4 | 0.548 |
| newstest2017-encs-ceseng.ces.eng | 26.5 | 0.537 |
| newstest2017-enru-ruseng.rus.eng | 31.0 | 0.574 |
| newstest2018-encs-ceseng.ces.eng | 27.9 | 0.548 |
| newstest2018-enru-ruseng.rus.eng | 26.8 | 0.545 |
| newstest2019-ruen-ruseng.rus.eng | 29.1 | 0.562 |
| Tatoeba-test.bel-eng.bel.eng | 42.5 | 0.609 |
| Tatoeba-test.bul-eng.bul.eng | 55.4 | 0.697 |
| Tatoeba-test.ces-eng.ces.eng | 53.1 | 0.688 |
| Tatoeba-test.csb-eng.csb.eng | 23.1 | 0.446 |
| Tatoeba-test.dsb-eng.dsb.eng | 31.1 | 0.467 |
| Tatoeba-test.hbs-eng.hbs.eng | 56.1 | 0.702 |
| Tatoeba-test.hsb-eng.hsb.eng | 46.2 | 0.597 |
| Tatoeba-test.mkd-eng.mkd.eng | 54.5 | 0.680 |
| Tatoeba-test.multi.eng | 53.2 | 0.683 |
| Tatoeba-test.orv-eng.orv.eng | 12.1 | 0.292 |
| Tatoeba-test.pol-eng.pol.eng | 51.1 | 0.671 |
| Tatoeba-test.rue-eng.rue.eng | 19.6 | 0.389 |
| Tatoeba-test.rus-eng.rus.eng | 54.1 | 0.686 |
| Tatoeba-test.slv-eng.slv.eng | 43.4 | 0.610 |
| Tatoeba-test.ukr-eng.ukr.eng | 53.8 | 0.685 |
### System Info:
- hf_name: sla-eng
- source_languages: sla
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']
- src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt
- src_alpha3: sla
- tgt_alpha3: eng
- short_pair: sla-en
- chrF2_score: 0.6829999999999999
- bleu: 53.2
- brevity_penalty: 0.9740000000000001
- ref_len: 70897.0
- src_name: Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: sla
- tgt_alpha2: en
- prefer_old: False
- long_pair: sla-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sla-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"be",
"hr",
"mk",
"cs",
"ru",
"pl",
"bg",
"uk",
"sl",
"sla",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### sla-sla
* source group: Slavic languages
* target group: Slavic languages
* OPUS readme: [sla-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md)
* model: transformer
* source language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr
* target language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012-cesrus.ces.rus | 15.9 | 0.437 |
| newstest2012-rusces.rus.ces | 13.6 | 0.403 |
| newstest2013-cesrus.ces.rus | 19.8 | 0.473 |
| newstest2013-rusces.rus.ces | 17.9 | 0.449 |
| Tatoeba-test.bel-bul.bel.bul | 100.0 | 1.000 |
| Tatoeba-test.bel-ces.bel.ces | 33.5 | 0.630 |
| Tatoeba-test.bel-hbs.bel.hbs | 45.4 | 0.644 |
| Tatoeba-test.bel-mkd.bel.mkd | 19.3 | 0.531 |
| Tatoeba-test.bel-pol.bel.pol | 46.9 | 0.681 |
| Tatoeba-test.bel-rus.bel.rus | 58.5 | 0.767 |
| Tatoeba-test.bel-ukr.bel.ukr | 55.1 | 0.743 |
| Tatoeba-test.bul-bel.bul.bel | 10.7 | 0.423 |
| Tatoeba-test.bul-ces.bul.ces | 36.9 | 0.585 |
| Tatoeba-test.bul-hbs.bul.hbs | 53.7 | 0.807 |
| Tatoeba-test.bul-mkd.bul.mkd | 31.9 | 0.715 |
| Tatoeba-test.bul-pol.bul.pol | 38.6 | 0.607 |
| Tatoeba-test.bul-rus.bul.rus | 44.8 | 0.655 |
| Tatoeba-test.bul-ukr.bul.ukr | 49.9 | 0.691 |
| Tatoeba-test.ces-bel.ces.bel | 30.9 | 0.585 |
| Tatoeba-test.ces-bul.ces.bul | 75.8 | 0.859 |
| Tatoeba-test.ces-hbs.ces.hbs | 50.0 | 0.661 |
| Tatoeba-test.ces-hsb.ces.hsb | 7.9 | 0.246 |
| Tatoeba-test.ces-mkd.ces.mkd | 24.6 | 0.569 |
| Tatoeba-test.ces-pol.ces.pol | 44.3 | 0.652 |
| Tatoeba-test.ces-rus.ces.rus | 50.8 | 0.690 |
| Tatoeba-test.ces-slv.ces.slv | 4.9 | 0.240 |
| Tatoeba-test.ces-ukr.ces.ukr | 52.9 | 0.687 |
| Tatoeba-test.dsb-pol.dsb.pol | 16.3 | 0.367 |
| Tatoeba-test.dsb-rus.dsb.rus | 12.7 | 0.245 |
| Tatoeba-test.hbs-bel.hbs.bel | 32.9 | 0.531 |
| Tatoeba-test.hbs-bul.hbs.bul | 100.0 | 1.000 |
| Tatoeba-test.hbs-ces.hbs.ces | 40.3 | 0.626 |
| Tatoeba-test.hbs-mkd.hbs.mkd | 19.3 | 0.535 |
| Tatoeba-test.hbs-pol.hbs.pol | 45.0 | 0.650 |
| Tatoeba-test.hbs-rus.hbs.rus | 53.5 | 0.709 |
| Tatoeba-test.hbs-ukr.hbs.ukr | 50.7 | 0.684 |
| Tatoeba-test.hsb-ces.hsb.ces | 17.9 | 0.366 |
| Tatoeba-test.mkd-bel.mkd.bel | 23.6 | 0.548 |
| Tatoeba-test.mkd-bul.mkd.bul | 54.2 | 0.833 |
| Tatoeba-test.mkd-ces.mkd.ces | 12.1 | 0.371 |
| Tatoeba-test.mkd-hbs.mkd.hbs | 19.3 | 0.577 |
| Tatoeba-test.mkd-pol.mkd.pol | 53.7 | 0.833 |
| Tatoeba-test.mkd-rus.mkd.rus | 34.2 | 0.745 |
| Tatoeba-test.mkd-ukr.mkd.ukr | 42.7 | 0.708 |
| Tatoeba-test.multi.multi | 48.5 | 0.672 |
| Tatoeba-test.orv-pol.orv.pol | 10.1 | 0.355 |
| Tatoeba-test.orv-rus.orv.rus | 10.6 | 0.275 |
| Tatoeba-test.orv-ukr.orv.ukr | 7.5 | 0.230 |
| Tatoeba-test.pol-bel.pol.bel | 29.8 | 0.533 |
| Tatoeba-test.pol-bul.pol.bul | 36.8 | 0.578 |
| Tatoeba-test.pol-ces.pol.ces | 43.6 | 0.626 |
| Tatoeba-test.pol-dsb.pol.dsb | 0.9 | 0.097 |
| Tatoeba-test.pol-hbs.pol.hbs | 42.4 | 0.644 |
| Tatoeba-test.pol-mkd.pol.mkd | 19.3 | 0.535 |
| Tatoeba-test.pol-orv.pol.orv | 0.7 | 0.109 |
| Tatoeba-test.pol-rus.pol.rus | 49.6 | 0.680 |
| Tatoeba-test.pol-slv.pol.slv | 7.3 | 0.262 |
| Tatoeba-test.pol-ukr.pol.ukr | 46.8 | 0.664 |
| Tatoeba-test.rus-bel.rus.bel | 34.4 | 0.577 |
| Tatoeba-test.rus-bul.rus.bul | 45.5 | 0.657 |
| Tatoeba-test.rus-ces.rus.ces | 48.0 | 0.659 |
| Tatoeba-test.rus-dsb.rus.dsb | 10.7 | 0.029 |
| Tatoeba-test.rus-hbs.rus.hbs | 44.6 | 0.655 |
| Tatoeba-test.rus-mkd.rus.mkd | 34.9 | 0.617 |
| Tatoeba-test.rus-orv.rus.orv | 0.1 | 0.073 |
| Tatoeba-test.rus-pol.rus.pol | 45.2 | 0.659 |
| Tatoeba-test.rus-slv.rus.slv | 30.4 | 0.476 |
| Tatoeba-test.rus-ukr.rus.ukr | 57.6 | 0.751 |
| Tatoeba-test.slv-ces.slv.ces | 42.5 | 0.604 |
| Tatoeba-test.slv-pol.slv.pol | 39.6 | 0.601 |
| Tatoeba-test.slv-rus.slv.rus | 47.2 | 0.638 |
| Tatoeba-test.slv-ukr.slv.ukr | 36.4 | 0.549 |
| Tatoeba-test.ukr-bel.ukr.bel | 36.9 | 0.597 |
| Tatoeba-test.ukr-bul.ukr.bul | 56.4 | 0.733 |
| Tatoeba-test.ukr-ces.ukr.ces | 52.1 | 0.686 |
| Tatoeba-test.ukr-hbs.ukr.hbs | 47.1 | 0.670 |
| Tatoeba-test.ukr-mkd.ukr.mkd | 20.8 | 0.548 |
| Tatoeba-test.ukr-orv.ukr.orv | 0.2 | 0.058 |
| Tatoeba-test.ukr-pol.ukr.pol | 50.1 | 0.695 |
| Tatoeba-test.ukr-rus.ukr.rus | 63.9 | 0.790 |
| Tatoeba-test.ukr-slv.ukr.slv | 14.5 | 0.288 |
### System Info:
- hf_name: sla-sla
- source_languages: sla
- target_languages: sla
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
- src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt
- src_alpha3: sla
- tgt_alpha3: sla
- short_pair: sla-sla
- chrF2_score: 0.672
- bleu: 48.5
- brevity_penalty: 1.0
- ref_len: 59320.0
- src_name: Slavic languages
- tgt_name: Slavic languages
- train_date: 2020-07-27
- src_alpha2: sla
- tgt_alpha2: sla
- prefer_old: False
- long_pair: sla-sla
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sla-sla | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"be",
"hr",
"mk",
"cs",
"ru",
"pl",
"bg",
"uk",
"sl",
"sla",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sm-en
* source languages: sm
* target languages: en
* OPUS readme: [sm-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-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/sm-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sm.en | 36.1 | 0.520 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sm-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sm",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sm-es
* source languages: sm
* target languages: es
* OPUS readme: [sm-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-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/sm-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sm.es | 21.3 | 0.390 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sm-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sm",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sm-fr
* source languages: sm
* target languages: fr
* OPUS readme: [sm-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sm-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/sm-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sm-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sm.fr | 24.6 | 0.419 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sm-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sm",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sn-en
* source languages: sn
* target languages: en
* OPUS readme: [sn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-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/sn-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sn.en | 51.8 | 0.648 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sn-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sn-es
* source languages: sn
* target languages: es
* OPUS readme: [sn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-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/sn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sn.es | 32.5 | 0.509 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sn-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sn",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### 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 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sn-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sn",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sn-sv
* source languages: sn
* target languages: sv
* OPUS readme: [sn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-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/sn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sn-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sn.sv | 35.6 | 0.536 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sn-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sn",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sq-en
* source languages: sq
* target languages: en
* OPUS readme: [sq-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-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/sq-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sq.en | 58.4 | 0.732 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sq-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sq",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sq-es
* source languages: sq
* target languages: es
* OPUS readme: [sq-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.sq.es | 23.9 | 0.510 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sq-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sq",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-sq-sv
* source languages: sq
* target languages: sv
* OPUS readme: [sq-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-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/sq-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sq.sv | 36.2 | 0.559 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-sq-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"sq",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-srn-en
* source languages: srn
* target languages: en
* OPUS readme: [srn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.en | 40.3 | 0.555 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-srn-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"srn",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-srn-es
* source languages: srn
* target languages: es
* OPUS readme: [srn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-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/srn-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.es | 30.4 | 0.481 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-srn-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"srn",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-srn-fr
* source languages: srn
* target languages: fr
* OPUS readme: [srn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-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/srn-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.fr | 28.9 | 0.462 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-srn-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"srn",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-srn-sv
* source languages: srn
* target languages: sv
* OPUS readme: [srn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-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/srn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/srn-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.srn.sv | 32.2 | 0.500 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-srn-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"srn",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ss-en
* source languages: ss
* target languages: en
* OPUS readme: [ss-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ss-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/ss-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ss-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ss-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ss.en | 30.9 | 0.478 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ss-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ss",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
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