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Helsinki-NLP/opus-mt-bzs-fr | 5f69cdba6de378f61042d90ed0a19f3047837ea1 | 2021-09-09T21:28:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bzs",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bzs-fr | 5 | null | transformers | 16,000 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bzs-fr
* source languages: bzs
* target languages: fr
* OPUS readme: [bzs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bzs-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.fr | 30.0 | 0.479 |
|
Helsinki-NLP/opus-mt-crs-de | f0552c0fcef8dc8b03acc5ecf9c170a3a9356ca1 | 2021-09-09T21:28:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-de | 5 | null | transformers | 16,001 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-de
* source languages: crs
* target languages: de
* OPUS readme: [crs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.de | 20.4 | 0.397 |
|
Helsinki-NLP/opus-mt-crs-sv | a338a7e5ef9b876f1edc63b0af6c6cd11e6a7611 | 2021-09-09T21:29:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"crs",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-crs-sv | 5 | null | transformers | 16,002 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-crs-sv
* source languages: crs
* target languages: sv
* OPUS readme: [crs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.crs.sv | 29.3 | 0.480 |
|
Helsinki-NLP/opus-mt-de-hil | 4f0571df9d70e36af0435f1368a03cd059750c40 | 2021-09-09T21:31:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"hil",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-hil | 5 | null | transformers | 16,003 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-hil
* source languages: de
* target languages: hil
* OPUS readme: [de-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.hil | 33.9 | 0.563 |
|
Helsinki-NLP/opus-mt-de-ilo | e9260adbaa77c85f5a0203460399c1cec12357c1 | 2021-09-09T21:31:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ilo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ilo | 5 | null | transformers | 16,004 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-ilo
* source languages: de
* target languages: ilo
* OPUS readme: [de-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.ilo | 29.8 | 0.533 |
|
Helsinki-NLP/opus-mt-de-tl | 390685d1738ee20f77b624e6eb22aac9f8c8e913 | 2021-01-18T08:02:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"tl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-tl | 5 | null | transformers | 16,005 | ---
language:
- de
- tl
tags:
- translation
license: apache-2.0
---
### deu-tgl
* source group: German
* target group: Tagalog
* OPUS readme: [deu-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md)
* model: transformer-align
* source language(s): deu
* 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/deu-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.tgl | 21.2 | 0.541 |
### System Info:
- hf_name: deu-tgl
- source_languages: deu
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'tl']
- src_constituents: {'deu'}
- 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/deu-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: tgl
- short_pair: de-tl
- chrF2_score: 0.541
- bleu: 21.2
- brevity_penalty: 1.0
- ref_len: 2329.0
- src_name: German
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: tl
- prefer_old: False
- long_pair: deu-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-cpp | 685bafccc3536fa43492147b9abf78961cb6c458 | 2021-01-18T08:06:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"id",
"cpp",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-cpp | 5 | 1 | transformers | 16,006 | ---
language:
- en
- id
- cpp
tags:
- translation
license: apache-2.0
---
### eng-cpp
* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md)
* model: transformer
* source language(s): eng
* target language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-msa.eng.msa | 32.6 | 0.573 |
| Tatoeba-test.eng.multi | 32.7 | 0.574 |
| Tatoeba-test.eng-pap.eng.pap | 42.5 | 0.633 |
### System Info:
- hf_name: eng-cpp
- source_languages: eng
- target_languages: cpp
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'id', 'cpp']
- src_constituents: {'eng'}
- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cpp
- short_pair: en-cpp
- chrF2_score: 0.574
- bleu: 32.7
- brevity_penalty: 0.996
- ref_len: 34010.0
- src_name: English
- tgt_name: Creoles and pidgins, Portuguese-based
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cpp
- prefer_old: False
- long_pair: eng-cpp
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-fi | d2cb54b08d55a44f363c52f5a2be431eb9224265 | 2021-01-18T08:20:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-fi | 5 | null | transformers | 16,007 | ---
language:
- eo
- fi
tags:
- translation
license: apache-2.0
---
### epo-fin
* source group: Esperanto
* target group: Finnish
* OPUS readme: [epo-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): fin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.fin | 15.9 | 0.371 |
### System Info:
- hf_name: epo-fin
- source_languages: epo
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'fi']
- src_constituents: {'epo'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: fin
- short_pair: eo-fi
- chrF2_score: 0.371
- bleu: 15.9
- brevity_penalty: 0.894
- ref_len: 15881.0
- src_name: Esperanto
- tgt_name: Finnish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: fi
- prefer_old: False
- long_pair: epo-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-he | 9fa8175a15f2e3dde6eb043b41af1ba11e6d556c | 2021-01-18T08:20:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-eo-he | 5 | null | transformers | 16,008 | ---
language:
- eo
- he
tags:
- translation
license: apache-2.0
---
### epo-heb
* source group: Esperanto
* target group: Hebrew
* OPUS readme: [epo-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.heb | 11.5 | 0.306 |
### System Info:
- hf_name: epo-heb
- source_languages: epo
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'he']
- src_constituents: {'epo'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: heb
- short_pair: eo-he
- chrF2_score: 0.306
- bleu: 11.5
- brevity_penalty: 0.943
- ref_len: 65645.0
- src_name: Esperanto
- tgt_name: Hebrew
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: he
- prefer_old: False
- long_pair: epo-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-ho | ecc2b9bb15f1b900c2bbd4657770e688527036a4 | 2021-09-09T21:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"ho",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-ho | 5 | null | transformers | 16,009 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-ho
* source languages: es
* target languages: ho
* OPUS readme: [es-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ho/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.ho | 22.8 | 0.463 |
|
Helsinki-NLP/opus-mt-fi-ceb | 93149e25691f0cd4a528d9345a3dace52cc975c9 | 2021-09-09T21:46:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ceb",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ceb | 5 | null | transformers | 16,010 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ceb
* source languages: fi
* target languages: ceb
* OPUS readme: [fi-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ceb | 35.1 | 0.581 |
|
Helsinki-NLP/opus-mt-fi-he | 762539f860ef7aae15794d1a1a9611ca9575c6e6 | 2021-09-09T21:48:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-he | 5 | null | transformers | 16,011 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-he
* source languages: fi
* target languages: he
* OPUS readme: [fi-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-he/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-he/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-he/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-he/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.he | 20.7 | 0.424 |
|
Helsinki-NLP/opus-mt-fi-kg | d186e4442d754e50fd08927bd39857941072da5a | 2021-09-09T21:48:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"kg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-kg | 5 | null | transformers | 16,012 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-kg
* source languages: fi
* target languages: kg
* OPUS readme: [fi-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-kg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-kg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kg | 29.5 | 0.535 |
|
Helsinki-NLP/opus-mt-fi-lua | 5e56b0239c0df3eab741e74a5bb27542925b8e4e | 2021-09-09T21:49:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"lua",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-lua | 5 | null | transformers | 16,013 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-lua
* source languages: fi
* target languages: lua
* OPUS readme: [fi-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lua/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lua/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lua/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lua | 26.6 | 0.505 |
|
Helsinki-NLP/opus-mt-fi-lus | bbe5543b1d9a5121dae318c74b8f59a774bbdc4b | 2021-09-09T21:49:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"lus",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-lus | 5 | null | transformers | 16,014 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-lus
* source languages: fi
* target languages: lus
* OPUS readme: [fi-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lus/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lus/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lus/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lus | 26.3 | 0.480 |
|
Helsinki-NLP/opus-mt-fi-lv | d6aee0946d6cf9a41407def493e5014ee25b802c | 2021-09-09T21:49:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"lv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-lv | 5 | null | transformers | 16,015 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-lv
* source languages: fi
* target languages: lv
* OPUS readme: [fi-lv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-lv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-lv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.lv | 20.6 | 0.439 |
|
Helsinki-NLP/opus-mt-fi-mfe | 15d32143c07cdffa174fd98ad8e4e6fac5f1f2be | 2021-09-09T21:49:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"mfe",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-mfe | 5 | null | transformers | 16,016 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-mfe
* source languages: fi
* target languages: mfe
* OPUS readme: [fi-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mfe/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mfe/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mfe | 22.6 | 0.426 |
|
Helsinki-NLP/opus-mt-fi-mos | 12801d967e620022859af338bfa701bbd805037c | 2021-09-09T21:49:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"mos",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-mos | 5 | null | transformers | 16,017 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-mos
* source languages: fi
* target languages: mos
* OPUS readme: [fi-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-mos/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mos | 21.4 | 0.366 |
|
Helsinki-NLP/opus-mt-fi-srn | d765e6d498bda44a5b48b228f9c0183e9677134e | 2021-09-09T21:50:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"srn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-srn | 5 | null | transformers | 16,018 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-srn
* source languages: fi
* target languages: srn
* OPUS readme: [fi-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-srn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-srn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-srn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.srn | 29.2 | 0.491 |
|
Helsinki-NLP/opus-mt-fi-tiv | 21a8d3b6d4e6cda2f8043128b63b70e786a6b7f2 | 2021-09-09T21:51:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"tiv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-tiv | 5 | null | transformers | 16,019 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-tiv
* source languages: fi
* target languages: tiv
* OPUS readme: [fi-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tiv | 23.6 | 0.425 |
|
Helsinki-NLP/opus-mt-fi-ts | 7621caec95aee23ac5efd886d8b05a02405675cb | 2021-09-09T21:51:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ts",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ts | 5 | null | transformers | 16,020 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ts
* source languages: fi
* target languages: ts
* OPUS readme: [fi-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ts/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ts/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ts | 33.6 | 0.563 |
|
Helsinki-NLP/opus-mt-fi-ty | 9613712ec54b00e5de1821602fd1c35efd6a7955 | 2021-09-09T21:51:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"ty",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-ty | 5 | null | transformers | 16,021 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ty
* source languages: fi
* target languages: ty
* OPUS readme: [fi-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ty/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ty | 39.7 | 0.565 |
|
Helsinki-NLP/opus-mt-fr-ber | a0c6f88d3475868755fd11f114debb5a97471a53 | 2021-09-09T21:53:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ber",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ber | 5 | null | transformers | 16,022 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ber
* source languages: fr
* target languages: ber
* OPUS readme: [fr-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ber | 37.2 | 0.641 |
|
Helsinki-NLP/opus-mt-fr-bi | 5d73c0e33c28fd77af3cacedfd8b4ffc09c2559a | 2021-09-09T21:53:06.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"bi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-bi | 5 | null | transformers | 16,023 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-bi
* source languages: fr
* target languages: bi
* OPUS readme: [fr-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bi | 28.4 | 0.464 |
|
Helsinki-NLP/opus-mt-fr-ceb | 254bb4d5e076927d093a824fb4601ee5631116eb | 2021-09-09T21:53:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ceb",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ceb | 5 | null | transformers | 16,024 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ceb
* source languages: fr
* target languages: ceb
* OPUS readme: [fr-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ceb | 32.8 | 0.543 |
|
Helsinki-NLP/opus-mt-fr-crs | e35728885ec078ae6feb1406142eb1bd71292bc7 | 2021-09-09T21:53:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"crs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-crs | 5 | null | transformers | 16,025 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-crs
* source languages: fr
* target languages: crs
* OPUS readme: [fr-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.crs | 31.6 | 0.492 |
|
Helsinki-NLP/opus-mt-fr-loz | ce664d979a3530d9eb5c272780bdeca759b4aa65 | 2021-09-09T21:55:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"loz",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-loz | 5 | null | transformers | 16,026 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-loz
* source languages: fr
* target languages: loz
* OPUS readme: [fr-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.loz | 30.0 | 0.498 |
|
Helsinki-NLP/opus-mt-fr-lua | d52c6a2620b0e58ebe4d973d507794bc18ef6675 | 2021-09-09T21:55:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"lua",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-lua | 5 | null | transformers | 16,027 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-lua
* source languages: fr
* target languages: lua
* OPUS readme: [fr-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lua | 27.3 | 0.496 |
|
Helsinki-NLP/opus-mt-fr-nso | 511f5c8cd9d5d532fb1f14a3f4edd3cce8d647a4 | 2021-09-09T21:55:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"nso",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-nso | 5 | null | transformers | 16,028 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-nso
* source languages: fr
* target languages: nso
* OPUS readme: [fr-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-nso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.nso | 33.3 | 0.527 |
|
Helsinki-NLP/opus-mt-fr-ro | 8ae55d446df135e0b7d4dcc59918e55d57c1b931 | 2021-09-09T21:56:23.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ro",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ro | 5 | null | transformers | 16,029 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ro
* source languages: fr
* target languages: ro
* OPUS readme: [fr-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ro | 42.1 | 0.640 |
|
Helsinki-NLP/opus-mt-fr-rw | bcfc268367a24faee259c53b281ce47cdef15a2a | 2021-09-09T21:56:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"rw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-rw | 5 | null | transformers | 16,030 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-rw
* source languages: fr
* target languages: rw
* OPUS readme: [fr-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rw | 25.5 | 0.483 |
|
Helsinki-NLP/opus-mt-guw-es | dd2fd0f9c74475e218f7eae564e9cf89de5c9c28 | 2021-09-09T21:59:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"guw",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-guw-es | 5 | null | transformers | 16,031 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-guw-es
* source languages: guw
* target languages: es
* OPUS readme: [guw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-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/guw-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.guw.es | 27.2 | 0.457 |
|
Helsinki-NLP/opus-mt-he-it | 96c934baaeff6a9cf48db5388e9b0b8135fecb87 | 2020-12-11T09:52:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"he",
"it",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-he-it | 5 | null | transformers | 16,032 | ---
language:
- he
- it
tags:
- translation
license: apache-2.0
---
### he-it
* source group: Hebrew
* target group: Italian
* OPUS readme: [heb-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md)
* model: transformer
* source language(s): heb
* target language(s): ita
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ita | 41.1 | 0.643 |
### System Info:
- hf_name: he-it
- source_languages: heb
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'it']
- src_constituents: ('Hebrew', {'heb'})
- tgt_constituents: ('Italian', {'ita'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: heb-ita
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt
- src_alpha3: heb
- tgt_alpha3: ita
- chrF2_score: 0.643
- bleu: 41.1
- brevity_penalty: 0.997
- ref_len: 11464.0
- src_name: Hebrew
- tgt_name: Italian
- train_date: 2020-12-10 00:00:00
- src_alpha2: he
- tgt_alpha2: it
- prefer_old: False
- short_pair: he-it
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-11:50 |
Helsinki-NLP/opus-mt-ht-es | ed17258e942cc875265fab99ae16722999a137e2 | 2021-09-09T22:10:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ht",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ht-es | 5 | null | transformers | 16,033 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ht-es
* source languages: ht
* target languages: es
* OPUS readme: [ht-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-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/ht-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ht.es | 23.7 | 0.418 |
|
Helsinki-NLP/opus-mt-hu-uk | b7f19ffe61fdb6bbf98036683607bbcb305faaa1 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hu",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hu-uk | 5 | null | transformers | 16,034 | ---
language:
- hu
- uk
tags:
- translation
license: apache-2.0
---
### hun-ukr
* source group: Hungarian
* target group: Ukrainian
* OPUS readme: [hun-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-ukr/README.md)
* model: transformer-align
* source language(s): hun
* 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/hun-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hun.ukr | 41.2 | 0.611 |
### System Info:
- hf_name: hun-ukr
- source_languages: hun
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hu', 'uk']
- src_constituents: {'hun'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.test.txt
- src_alpha3: hun
- tgt_alpha3: ukr
- short_pair: hu-uk
- chrF2_score: 0.611
- bleu: 41.2
- brevity_penalty: 0.966
- ref_len: 2568.0
- src_name: Hungarian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: hu
- tgt_alpha2: uk
- prefer_old: False
- long_pair: hun-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ilo-es | 32b7f74754d6d465e6e35d35607bca38ed049fd2 | 2021-09-09T22:11:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ilo",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ilo-es | 5 | null | transformers | 16,035 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ilo-es
* source languages: ilo
* target languages: es
* OPUS readme: [ilo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-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/ilo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.es | 30.7 | 0.496 |
|
Helsinki-NLP/opus-mt-ja-ms | 5a274f4df4c86782c6332a14bdcb39a716f623ed | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ja",
"ms",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ja-ms | 5 | null | transformers | 16,036 | ---
language:
- ja
- ms
tags:
- translation
license: apache-2.0
---
### jpn-msa
* source group: Japanese
* target group: Malay (macrolanguage)
* OPUS readme: [jpn-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana
* target language(s): ind zlm_Latn zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.msa | 21.5 | 0.469 |
### System Info:
- hf_name: jpn-msa
- source_languages: jpn
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ms']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: msa
- short_pair: ja-ms
- chrF2_score: 0.469
- bleu: 21.5
- brevity_penalty: 0.9259999999999999
- ref_len: 17028.0
- src_name: Japanese
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ms
- prefer_old: False
- long_pair: jpn-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-kg-fr | 765c2aa5bc51dc2975ff6c414a5da9709188f054 | 2021-09-10T13:53:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kg",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kg-fr | 5 | null | transformers | 16,037 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kg-fr
* source languages: kg
* target languages: fr
* OPUS readme: [kg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kg.fr | 26.0 | 0.433 |
|
Helsinki-NLP/opus-mt-kwy-fr | efe9d2fea43d884b2f0d662b4beaf8f06e3ff855 | 2021-09-10T13:54:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kwy",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kwy-fr | 5 | null | transformers | 16,038 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kwy-fr
* source languages: kwy
* target languages: fr
* OPUS readme: [kwy-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.kwy.fr | 20.6 | 0.367 |
|
Helsinki-NLP/opus-mt-loz-fr | bd9a9b3ca8b7f8e6a8001cf1c727895d0f9995c0 | 2021-09-10T13:55:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"loz",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-loz-fr | 5 | null | transformers | 16,039 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-fr
* source languages: loz
* target languages: fr
* OPUS readme: [loz-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.loz.fr | 28.5 | 0.462 |
|
Helsinki-NLP/opus-mt-lt-de | 56cb6311f3079071b1e2e417d179d4d53886c69c | 2021-09-10T13:55:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-de | 5 | null | transformers | 16,040 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lt-de
* source languages: lt
* target languages: de
* OPUS readme: [lt-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-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/lt-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.lt.de | 45.2 | 0.640 |
|
Helsinki-NLP/opus-mt-lt-it | d289d86c220be3a8e8c278a4655ae50c50517a1e | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"it",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-it | 5 | null | transformers | 16,041 | ---
language:
- lt
- it
tags:
- translation
license: apache-2.0
---
### lit-ita
* source group: Lithuanian
* target group: Italian
* OPUS readme: [lit-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.ita | 42.2 | 0.657 |
### System Info:
- hf_name: lit-ita
- source_languages: lit
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'it']
- src_constituents: {'lit'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: ita
- short_pair: lt-it
- chrF2_score: 0.657
- bleu: 42.2
- brevity_penalty: 0.9740000000000001
- ref_len: 1505.0
- src_name: Lithuanian
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: it
- prefer_old: False
- long_pair: lit-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-lt-tr | 1a742c90e09bb9d50f4004e20aaebe7b92569a82 | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"tr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-tr | 5 | null | transformers | 16,042 | ---
language:
- lt
- tr
tags:
- translation
license: apache-2.0
---
### lit-tur
* source group: Lithuanian
* target group: Turkish
* OPUS readme: [lit-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): tur
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.tur | 35.8 | 0.648 |
### System Info:
- hf_name: lit-tur
- source_languages: lit
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'tr']
- src_constituents: {'lit'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: tur
- short_pair: lt-tr
- chrF2_score: 0.648
- bleu: 35.8
- brevity_penalty: 0.927
- ref_len: 7700.0
- src_name: Lithuanian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: tr
- prefer_old: False
- long_pair: lit-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-lus-sv | d96f28033950594bff94ed311314a723dd8c230c | 2021-09-10T13:57:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lus",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lus-sv | 5 | null | transformers | 16,043 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lus-sv
* source languages: lus
* target languages: sv
* OPUS readme: [lus-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.lus.sv | 25.5 | 0.439 |
|
Helsinki-NLP/opus-mt-mt-fr | 68581adfe926e3b050a0b7f039baf21c55ad00b4 | 2021-09-10T13:58:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mt",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mt-fr | 5 | null | transformers | 16,044 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mt-fr
* source languages: mt
* target languages: fr
* OPUS readme: [mt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.mt.fr | 27.2 | 0.475 |
|
Helsinki-NLP/opus-mt-mt-sv | ecf9efff459006014132036ccb6ab6bb7afb2cf5 | 2021-09-10T13:58:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mt",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mt-sv | 5 | null | transformers | 16,045 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mt-sv
* source languages: mt
* target languages: sv
* OPUS readme: [mt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.mt.sv | 30.4 | 0.514 |
|
Helsinki-NLP/opus-mt-nl-uk | f91c890df542750798a92d931c87ed368a031845 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nl",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-nl-uk | 5 | null | transformers | 16,046 | ---
language:
- nl
- uk
tags:
- translation
license: apache-2.0
---
### nld-ukr
* source group: Dutch
* target group: Ukrainian
* OPUS readme: [nld-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md)
* model: transformer-align
* source language(s): nld
* 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/nld-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.ukr | 40.8 | 0.619 |
### System Info:
- hf_name: nld-ukr
- source_languages: nld
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'uk']
- src_constituents: {'nld'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.test.txt
- src_alpha3: nld
- tgt_alpha3: ukr
- short_pair: nl-uk
- chrF2_score: 0.619
- bleu: 40.8
- brevity_penalty: 0.992
- ref_len: 51674.0
- src_name: Dutch
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: nl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: nld-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-no-pl | 3227c473d71643f3c76df7a6467bbd9ef47ceb71 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-pl | 5 | null | transformers | 16,047 | ---
language:
- no
- pl
tags:
- translation
license: apache-2.0
---
### nor-pol
* source group: Norwegian
* target group: Polish
* OPUS readme: [nor-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md)
* model: transformer-align
* source language(s): nob
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.pol | 20.9 | 0.455 |
### System Info:
- hf_name: nor-pol
- source_languages: nor
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'pl']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-pol/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: pol
- short_pair: no-pl
- chrF2_score: 0.455
- bleu: 20.9
- brevity_penalty: 0.941
- ref_len: 1828.0
- src_name: Norwegian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: pl
- prefer_old: False
- long_pair: nor-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ny-de | 1c78874b7336b9d5d7dc8f9b2412d8b36ce45e33 | 2021-09-10T13:59:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ny",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ny-de | 5 | null | transformers | 16,048 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ny-de
* source languages: ny
* target languages: de
* OPUS readme: [ny-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-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/ny-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ny.de | 23.9 | 0.440 |
|
Helsinki-NLP/opus-mt-pag-fi | 56aefb6f1ae932b7f3c0da5b4175061e3b9548c6 | 2021-09-10T14:00:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pag",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pag-fi | 5 | null | transformers | 16,049 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pag-fi
* source languages: pag
* target languages: fi
* OPUS readme: [pag-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pag-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pag.fi | 26.7 | 0.496 |
|
Helsinki-NLP/opus-mt-pon-fr | 114a83e8187fff69c9b7f0bc1d37dc6514a5e022 | 2021-09-10T14:01:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pon",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pon-fr | 5 | null | transformers | 16,050 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pon-fr
* source languages: pon
* target languages: fr
* OPUS readme: [pon-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.pon.fr | 24.4 | 0.410 |
|
Helsinki-NLP/opus-mt-rn-de | 98bffa56f7197632528350ebb709bb3ee15e14f3 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rn",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rn-de | 5 | null | transformers | 16,051 | ---
language:
- rn
- de
tags:
- translation
license: apache-2.0
---
### 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 |
Helsinki-NLP/opus-mt-rw-fr | 4691c39779e58d343acf4e943651092ba77b9e67 | 2021-09-10T14:02:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rw",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rw-fr | 5 | null | transformers | 16,052 | ---
tags:
- translation
license: apache-2.0
---
### 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 |
|
Helsinki-NLP/opus-mt-rw-sv | e74441f013cd4284ef636437d362cc25d8bc15f2 | 2021-09-10T14:02:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rw",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rw-sv | 5 | null | transformers | 16,053 | ---
tags:
- translation
license: apache-2.0
---
### 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 |
|
Helsinki-NLP/opus-mt-sg-fr | ee19139e2d5bf318a64f0ac79d3f4ba331c8a119 | 2021-09-10T14:03:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sg",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sg-fr | 5 | null | transformers | 16,054 | ---
tags:
- translation
license: apache-2.0
---
### 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 |
|
Helsinki-NLP/opus-mt-sn-fr | e139bbf74723bb0f756b674b68213aaf18806d56 | 2021-09-10T14:04:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sn",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sn-fr | 5 | null | transformers | 16,055 | ---
tags:
- translation
license: apache-2.0
---
### 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 |
|
Helsinki-NLP/opus-mt-sv-bcl | 2fafcace6d42c46548789e1fff8d396a097e64c4 | 2021-09-10T14:05:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"bcl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-bcl | 5 | null | transformers | 16,056 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bcl
* source languages: sv
* target languages: bcl
* OPUS readme: [sv-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bcl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bcl | 39.5 | 0.607 |
|
Helsinki-NLP/opus-mt-sv-bi | ee1f2a88bc4a38f9df1577949b0a07ae0ccdec04 | 2021-09-10T14:05:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"bi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-bi | 5 | null | transformers | 16,057 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bi
* source languages: sv
* target languages: bi
* OPUS readme: [sv-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-bi/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bi | 30.8 | 0.496 |
|
Helsinki-NLP/opus-mt-sv-ceb | a93ca186ad6e31a5a106ea4efa43da50bedfc04c | 2021-09-10T14:05:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ceb",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ceb | 5 | null | transformers | 16,058 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ceb
* source languages: sv
* target languages: ceb
* OPUS readme: [sv-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ceb/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ceb | 39.2 | 0.609 |
|
Helsinki-NLP/opus-mt-sv-fj | e57cf4afe8b4e7ea295339c6e31472df6bfdb795 | 2021-09-10T14:06:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"fj",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-fj | 5 | null | transformers | 16,059 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-fj
* source languages: sv
* target languages: fj
* OPUS readme: [sv-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-fj/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.fj | 27.8 | 0.504 |
|
Helsinki-NLP/opus-mt-sv-ha | 20f7db29b6d413a8c54555bfe804f5bb1746cda2 | 2021-09-10T14:06:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ha",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ha | 5 | null | transformers | 16,060 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ha
* source languages: sv
* target languages: ha
* OPUS readme: [sv-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ha/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ha | 26.2 | 0.481 |
|
Helsinki-NLP/opus-mt-sv-ho | 40a047af032d61d687296e2d2191067f6e9aa2e0 | 2021-09-10T14:06:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ho",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ho | 5 | null | transformers | 16,061 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ho
* source languages: sv
* target languages: ho
* OPUS readme: [sv-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ho/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ho | 26.7 | 0.503 |
|
Helsinki-NLP/opus-mt-sv-kg | 9f7a068c57850b6dea0c3bd6892e45de530e86ef | 2021-09-10T14:07:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"kg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-kg | 5 | null | transformers | 16,062 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-kg
* source languages: sv
* target languages: kg
* OPUS readme: [sv-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-kg/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.kg | 30.7 | 0.538 |
|
Helsinki-NLP/opus-mt-sv-mos | bc897a9b94a46ab1a8fdab540559690928777530 | 2021-09-10T14:08:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"mos",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-mos | 5 | null | transformers | 16,063 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-mos
* source languages: sv
* target languages: mos
* OPUS readme: [sv-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-mos/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mos | 22.4 | 0.379 |
|
Helsinki-NLP/opus-mt-sv-pap | 08f1f7987d15974bb865dc05402b8da6e973fb06 | 2021-09-10T14:08:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"pap",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-pap | 5 | null | transformers | 16,064 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-pap
* source languages: sv
* target languages: pap
* OPUS readme: [sv-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-pap/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pap | 31.0 | 0.505 |
|
Helsinki-NLP/opus-mt-sv-rw | 0a51596090cb4918ab63e85aa0eaf302f728722c | 2021-09-10T14:09:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"rw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-rw | 5 | null | transformers | 16,065 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-rw
* source languages: sv
* target languages: rw
* OPUS readme: [sv-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-rw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.rw | 26.7 | 0.514 |
|
Helsinki-NLP/opus-mt-sv-swc | 5b947851df4104cf10054bc3e1909a48d51a6d65 | 2021-09-10T14:09:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"swc",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-swc | 5 | null | transformers | 16,066 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-swc
* source languages: sv
* target languages: swc
* OPUS readme: [sv-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-swc/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.swc | 30.1 | 0.536 |
|
Helsinki-NLP/opus-mt-sv-tiv | 2c738d85aa5507f2003e06b3df167625e44749c7 | 2021-09-10T14:09:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"tiv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-tiv | 5 | null | transformers | 16,067 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-tiv
* source languages: sv
* target languages: tiv
* OPUS readme: [sv-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tiv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tiv | 25.2 | 0.439 |
|
Helsinki-NLP/opus-mt-sv-to | ffc966aede537990146afba6831b3cef707f5ba9 | 2021-09-10T14:10:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"to",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-to | 5 | null | transformers | 16,068 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-to
* source languages: sv
* target languages: to
* OPUS readme: [sv-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.to | 41.8 | 0.564 |
|
Helsinki-NLP/opus-mt-sv-tvl | c1943802d304503429793dcc4e58599912b0206e | 2021-09-10T14:10:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"tvl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-tvl | 5 | null | transformers | 16,069 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-tvl
* source languages: sv
* target languages: tvl
* OPUS readme: [sv-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tvl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tvl | 34.4 | 0.521 |
|
Helsinki-NLP/opus-mt-sv-tw | f0fd879a6007047c14d00ed64d82bd1ca70acbba | 2021-09-10T14:10:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"tw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-tw | 5 | null | transformers | 16,070 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-tw
* source languages: sv
* target languages: tw
* OPUS readme: [sv-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-tw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tw | 30.7 | 0.509 |
|
Helsinki-NLP/opus-mt-sv-uk | c45c3b76f605f6993d0d7a628331422bc97c2a63 | 2021-09-10T14:10:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-uk | 5 | null | transformers | 16,071 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-uk
* source languages: sv
* target languages: uk
* OPUS readme: [sv-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-uk/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.uk | 24.0 | 0.447 |
|
Helsinki-NLP/opus-mt-sv-yo | 853ab315e4620f4e524d35a0bce068ab93163943 | 2021-09-11T10:47:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"yo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-yo | 5 | null | transformers | 16,072 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-yo
* source languages: sv
* target languages: yo
* OPUS readme: [sv-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-yo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-yo/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.yo | 26.4 | 0.432 |
|
Helsinki-NLP/opus-mt-sv-zne | 760941de733a18505c0455985b8f9664e1482085 | 2021-09-11T10:47:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"zne",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-zne | 5 | null | transformers | 16,073 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-zne
* source languages: sv
* target languages: zne
* OPUS readme: [sv-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-zne/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-zne/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.sv.zne | 23.8 | 0.474 |
|
Helsinki-NLP/opus-mt-swc-es | 2d62411fb898e9031f5cf7bde929803e710a0572 | 2021-09-11T10:47:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"swc",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-swc-es | 5 | null | transformers | 16,074 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-swc-es
* source languages: swc
* target languages: es
* OPUS readme: [swc-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-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/swc-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/swc-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.swc.es | 27.4 | 0.458 |
|
Helsinki-NLP/opus-mt-tn-fr | c8cb5847fbda69de53a199ef04083e26515b9927 | 2021-09-11T10:48:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tn",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tn-fr | 5 | null | transformers | 16,075 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tn-fr
* source languages: tn
* target languages: fr
* OPUS readme: [tn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-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/tn-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.fr | 29.0 | 0.474 |
|
Helsinki-NLP/opus-mt-toi-sv | 6c05145fac5d687cee86e68989cb1120f8da980f | 2021-09-11T10:49:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"toi",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-toi-sv | 5 | null | transformers | 16,076 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-toi-sv
* source languages: toi
* target languages: sv
* OPUS readme: [toi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.sv | 27.0 | 0.448 |
|
Helsinki-NLP/opus-mt-ts-fr | 63048a1e994cd444cd838e394307fb9c4a86cd3e | 2021-09-11T10:50:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ts",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ts-fr | 5 | null | transformers | 16,077 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ts-fr
* source languages: ts
* target languages: fr
* OPUS readme: [ts-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fr | 29.9 | 0.475 |
|
Helsinki-NLP/opus-mt-tum-es | 1ba74f83f504542dcc5bdd8549f462f6d3128e13 | 2021-09-11T10:50:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tum",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tum-es | 5 | null | transformers | 16,078 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tum-es
* source languages: tum
* target languages: es
* OPUS readme: [tum-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-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/tum-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.es | 22.6 | 0.390 |
|
Helsinki-NLP/opus-mt-tvl-fi | b5cfe17bb3861ab9e10877669a6e11d64f4e5c01 | 2021-09-11T10:50:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tvl",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tvl-fi | 5 | null | transformers | 16,079 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tvl-fi
* source languages: tvl
* target languages: fi
* OPUS readme: [tvl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-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/tvl-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fi | 22.0 | 0.439 |
|
Helsinki-NLP/opus-mt-uk-pl | 48fb0cbcddcd2467c61e68642596f00637e5922e | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-pl | 5 | null | transformers | 16,080 | ---
language:
- uk
- pl
tags:
- translation
license: apache-2.0
---
### ukr-pol
* source group: Ukrainian
* target group: Polish
* OPUS readme: [ukr-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.pol | 49.9 | 0.685 |
### System Info:
- hf_name: ukr-pol
- source_languages: ukr
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pl']
- src_constituents: {'ukr'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: pol
- short_pair: uk-pl
- chrF2_score: 0.685
- bleu: 49.9
- brevity_penalty: 0.9470000000000001
- ref_len: 13098.0
- src_name: Ukrainian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pl
- prefer_old: False
- long_pair: ukr-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ve-es | 58d12a53e7897f8a518a4238855c6125c453fdfd | 2021-09-11T10:51:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ve",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ve-es | 5 | null | transformers | 16,081 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ve-es
* source languages: ve
* target languages: es
* OPUS readme: [ve-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-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/ve-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ve.es | 23.1 | 0.413 |
|
Helsinki-NLP/opus-mt-vi-eo | f30045298c559dc393259c81ba18ab2d415c3fbe | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"vi",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-vi-eo | 5 | null | transformers | 16,082 | ---
language:
- vi
- eo
tags:
- translation
license: apache-2.0
---
### vie-epo
* source group: Vietnamese
* target group: Esperanto
* OPUS readme: [vie-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md)
* model: transformer-align
* source language(s): vie
* 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/vie-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.epo | 12.2 | 0.332 |
### System Info:
- hf_name: vie-epo
- source_languages: vie
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'eo']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt
- src_alpha3: vie
- tgt_alpha3: epo
- short_pair: vi-eo
- chrF2_score: 0.332
- bleu: 12.2
- brevity_penalty: 0.99
- ref_len: 13637.0
- src_name: Vietnamese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: vi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: vie-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-xh-fr | 33faec9bb6c2e5a94d8362acdef443fafa302230 | 2021-09-11T10:52:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"xh",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-xh-fr | 5 | null | transformers | 16,083 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-xh-fr
* source languages: xh
* target languages: fr
* OPUS readme: [xh-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-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/xh-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.xh.fr | 30.6 | 0.487 |
|
Helsinki-NLP/opus-mt-yap-sv | ca60d3059262c1f0e5e6dd5fcf1ec5b0d35e0250 | 2021-09-11T10:52:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"yap",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-yap-sv | 5 | null | transformers | 16,084 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-yap-sv
* source languages: yap
* target languages: sv
* OPUS readme: [yap-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/yap-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yap.sv | 22.6 | 0.399 |
|
Helsinki-NLP/opus-mt-zh-he | 2b09ff96382ef6c6919c114dca767dc8b37e57b1 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-he | 5 | null | transformers | 16,085 | ---
language:
- zh
- he
tags:
- translation
license: apache-2.0
---
### zho-heb
* source group: Chinese
* target group: Hebrew
* OPUS readme: [zho-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-heb/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Hira cmn_Kana cmn_Latn cmn_Yiii lzh lzh_Bopo lzh_Hang lzh_Hani lzh_Hira lzh_Kana lzh_Yiii
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-heb/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.heb | 28.5 | 0.469 |
### System Info:
- hf_name: zho-heb
- source_languages: zho
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'he']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-heb/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: heb
- short_pair: zh-he
- chrF2_score: 0.469
- bleu: 28.5
- brevity_penalty: 0.986
- ref_len: 3654.0
- src_name: Chinese
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: he
- prefer_old: False
- long_pair: zho-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-zle-en | 4569f14061d33d94f0f8bb139c3232e5c51df65d | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"be",
"ru",
"uk",
"zle",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
]
| translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zle-en | 5 | null | transformers | 16,086 | ---
language:
- be
- ru
- uk
- zle
- en
tags:
- translation
license: apache-2.0
---
### zle-eng
* source group: East Slavic languages
* target group: English
* OPUS readme: [zle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-eng/README.md)
* model: transformer
* source language(s): bel bel_Latn orv_Cyrl rue rus 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/zle-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012-ruseng.rus.eng | 31.1 | 0.579 |
| newstest2013-ruseng.rus.eng | 24.9 | 0.522 |
| newstest2014-ruen-ruseng.rus.eng | 27.9 | 0.563 |
| newstest2015-enru-ruseng.rus.eng | 26.8 | 0.541 |
| newstest2016-enru-ruseng.rus.eng | 25.8 | 0.535 |
| newstest2017-enru-ruseng.rus.eng | 29.1 | 0.561 |
| newstest2018-enru-ruseng.rus.eng | 25.4 | 0.537 |
| newstest2019-ruen-ruseng.rus.eng | 26.8 | 0.545 |
| Tatoeba-test.bel-eng.bel.eng | 38.3 | 0.569 |
| Tatoeba-test.multi.eng | 50.1 | 0.656 |
| Tatoeba-test.orv-eng.orv.eng | 6.9 | 0.217 |
| Tatoeba-test.rue-eng.rue.eng | 15.4 | 0.345 |
| Tatoeba-test.rus-eng.rus.eng | 52.5 | 0.674 |
| Tatoeba-test.ukr-eng.ukr.eng | 52.1 | 0.673 |
### System Info:
- hf_name: zle-eng
- source_languages: zle
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zle-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'ru', 'uk', 'zle', 'en']
- src_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zle-eng/opus2m-2020-08-01.test.txt
- src_alpha3: zle
- tgt_alpha3: eng
- short_pair: zle-en
- chrF2_score: 0.6559999999999999
- bleu: 50.1
- brevity_penalty: 0.97
- ref_len: 69599.0
- src_name: East Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: zle
- tgt_alpha2: en
- prefer_old: False
- long_pair: zle-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Hinova/distilbert-base-uncased-finetuned-cola | 0d1a004024889728ff4490330bec2341fea77e2f | 2021-08-26T02:55:21.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
]
| text-classification | false | Hinova | null | Hinova/distilbert-base-uncased-finetuned-cola | 5 | null | transformers | 16,087 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model_index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metric:
name: Matthews Correlation
type: matthews_correlation
value: 0.5481326292844919
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8301
- Matthews Correlation: 0.5481
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.5252 | 1.0 | 535 | 0.5094 | 0.4268 |
| 0.3515 | 2.0 | 1070 | 0.5040 | 0.4948 |
| 0.2403 | 3.0 | 1605 | 0.5869 | 0.5449 |
| 0.1731 | 4.0 | 2140 | 0.7338 | 0.5474 |
| 0.1219 | 5.0 | 2675 | 0.8301 | 0.5481 |
### Framework versions
- Transformers 4.9.2
- Pytorch 1.9.0
- Datasets 1.11.0
- Tokenizers 0.10.3
|
HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.3 | 9bcb4a366724744cb32529783751841f6819a49b | 2021-11-19T10:49:03.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
]
| token-classification | false | HungChau | null | HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.3 | 5 | null | transformers | 16,088 | Entry not found |
HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.4 | 53fbddcb62da036f35918e25172c8ac2cfcde59c | 2021-11-19T19:41:47.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
]
| token-classification | false | HungChau | null | HungChau/distilbert-base-uncased-concept-extraction-iir-v1.0-concept-extraction-kp20k-v1.4 | 5 | null | transformers | 16,089 | Entry not found |
ITNODove/DialoGPT-medium-cyberbones | 223f71eec85436c586731d6e5c2c725251df622b | 2021-12-11T11:03:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
]
| conversational | false | ITNODove | null | ITNODove/DialoGPT-medium-cyberbones | 5 | null | transformers | 16,090 | ---
tags:
- conversational
---
# Cyber Bones DialoGPT Model |
Intel/bert-base-uncased-sparse-1_2 | eee4f164f1ab6201ca2491c88ee016ce669de378 | 2021-06-24T22:39:26.000Z | [
"pytorch",
"bert",
"pretraining",
"en",
"transformers"
]
| null | false | Intel | null | Intel/bert-base-uncased-sparse-1_2 | 5 | null | transformers | 16,091 | ---
language: en
---
# Sparse BERT base model (uncased)
Pretrained model pruned to 1:2 structured sparsity.
The model is a pruned version of the [BERT base model](https://huggingface.co/bert-base-uncased).
## Intended Use
The model can be used for fine-tuning to downstream tasks with sparsity already embeded to the model.
To keep the sparsity a mask should be added to each sparse weight blocking the optimizer from updating the zeros.
## Evaluation Results
We get the following results on the tasks development set, all results are mean of 5 different seeded models:
| Task | MNLI-m (Acc) | MNLI-mm (Acc) | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) | STS-B (Pears/Spear) | SQuADv1.1 (Acc/F1) |
|------|--------------|---------------|--------------|------------|-------------|---------------------|--------------------|
| | 83.3 | 83.9 | 90.8/87.6 | 90.4 | 91.3 | 88.8/88.3 | 80.5/88.2 | |
IsaacBot/bert-base-uncased-finetuned-GP-Sentiment | c3956578d60e0d2ef13f41a2c1415cb2222fb5aa | 2022-02-23T15:17:17.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
]
| text-classification | false | IsaacBot | null | IsaacBot/bert-base-uncased-finetuned-GP-Sentiment | 5 | null | transformers | 16,092 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-base-uncased-finetuned-GP-Sentiment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-finetuned-GP-Sentiment
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7815
- F1: 0.6808
- Accuracy: 0.7390
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log | 1.0 | 313 | 0.7492 | 0.6448 | 0.6845 |
| 0.7419 | 2.0 | 626 | 0.7281 | 0.6800 | 0.7350 |
| 0.7419 | 3.0 | 939 | 0.7815 | 0.6808 | 0.7390 |
| 0.5309 | 4.0 | 1252 | 0.8782 | 0.6799 | 0.7422 |
| 0.336 | 5.0 | 1565 | 1.1222 | 0.6792 | 0.7390 |
| 0.336 | 6.0 | 1878 | 1.1544 | 0.6671 | 0.7174 |
| 0.219 | 7.0 | 2191 | 1.3721 | 0.6627 | 0.7246 |
| 0.1541 | 8.0 | 2504 | 1.4864 | 0.6652 | 0.7326 |
| 0.1541 | 9.0 | 2817 | 1.6475 | 0.6660 | 0.7446 |
| 0.1094 | 10.0 | 3130 | 1.6749 | 0.6700 | 0.7446 |
### Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
|
IsabellaKarabasz/roberta-base-bne-finetuned-amazon_reviews_multi | 09ba1533f14d98a0baffb4927514e4a5ffa484ef | 2021-08-24T14:16:29.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:amazon_reviews_multi",
"transformers",
"generated_from_trainer",
"license:cc-by-4.0"
]
| text-classification | false | IsabellaKarabasz | null | IsabellaKarabasz/roberta-base-bne-finetuned-amazon_reviews_multi | 5 | null | transformers | 16,093 | ---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model_index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
args: es
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-bne-finetuned-amazon_reviews_multi
This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Framework versions
- Transformers 4.9.2
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
|
Iskaj/hf-challenge-test | 3ebd257b16137fa8f4ea060a3e4ff257928c5549 | 2022-01-26T11:21:07.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ab",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"model-index"
]
| automatic-speech-recognition | false | Iskaj | null | Iskaj/hf-challenge-test | 5 | null | transformers | 16,094 | ---
language:
- ab
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#
This model is a fine-tuned version of [hf-test/xls-r-dummy](https://huggingface.co/hf-test/xls-r-dummy) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset.
It achieves the following results on the evaluation set:
- Loss: 156.8789
- Wer: 1.3456
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.1.dev0
- Tokenizers 0.11.0
|
Jacobo/aristoBERTo | 5f39204e09516fa7a9c95542f93492c0b0e09073 | 2022-01-27T19:02:16.000Z | [
"pytorch",
"bert",
"fill-mask",
"grc",
"transformers",
"model-index",
"autotrain_compatible"
]
| fill-mask | false | Jacobo | null | Jacobo/aristoBERTo | 5 | 1 | transformers | 16,095 | ---
tags:
language:
- grc
model-index:
- name: aristoBERTo
results: []
widget:
- text: "Πλάτων ὁ Περικτιόνης [MASK] γένος ἀνέφερεν εἰς Σόλωνα."
- text: "ὁ Κριτίας ἀπέβλεψε [MASK] τὴν θύραν."
- text: "πρῶτοι δὲ καὶ οὐνόματα ἱρὰ ἔγνωσαν καὶ [MASK] ἱροὺς ἔλεξαν."
---
# aristoBERTo
aristoBERTo is a transformer model for ancient Greek, a low resource language. We initialized the pre-training with weights from [GreekBERT](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1), a Greek version of BERT which was trained on a large corpus of modern Greek (~ 30 GB of texts). We continued the pre-training with an ancient Greek corpus of about 900 MB, which was scrapped from the web and post-processed. Duplicate texts and editorial punctuation were removed.
Applied to the processing of ancient Greek, aristoBERTo outperforms xlm-roberta-base and mdeberta in most downstream tasks like the labeling of POS, MORPH, DEP and LEMMA.
aristoBERTo is provided by the [Diogenet project](https://diogenet.ucsd.edu) of the University of California, San Diego.
## Intended uses
This model was created for fine-tuning with spaCy and the ancient Greek Universal Dependency datasets as well as a NER corpus produced by the [Diogenet project](https://diogenet.ucsd.edu). As a fill-mask model, AristoBERTo can also be used in the restoration of damaged Greek papyri, inscriptions, and manuscripts.
It achieves the following results on the evaluation set:
- Loss: 1.6323
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 1.377 | 20.0 | 3414220 | 1.6314 |
### Framework versions
- Transformers 4.14.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Jeska/BertjeWDialDataALL | 1dd5e083745da0a173d3b3ae4521087f89dbc7e1 | 2021-12-03T22:10:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
]
| fill-mask | false | Jeska | null | Jeska/BertjeWDialDataALL | 5 | null | transformers | 16,096 | ---
tags:
- generated_from_trainer
model-index:
- name: BertjeWDialDataALL
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BertjeWDialDataALL
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9469
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1739 | 1.0 | 1542 | 2.0150 |
| 2.0759 | 2.0 | 3084 | 1.9918 |
| 2.0453 | 3.0 | 4626 | 2.0132 |
| 1.9936 | 4.0 | 6168 | 1.9341 |
| 1.9659 | 5.0 | 7710 | 1.9140 |
| 1.9545 | 6.0 | 9252 | 1.9418 |
| 1.9104 | 7.0 | 10794 | 1.9179 |
| 1.8991 | 8.0 | 12336 | 1.9157 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2 | 58ecc68f5bbcb8f5670cafe959ebb3f100165b85 | 2021-12-07T13:46:05.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
]
| text-classification | false | Jeska | null | Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2 | 5 | null | transformers | 16,097 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VaccinChatSentenceClassifierDutch_fromBERTje2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# VaccinChatSentenceClassifierDutch_fromBERTje2
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5112
- Accuracy: 0.9004
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 15.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.1505 | 1.0 | 1320 | 3.3293 | 0.3793 |
| 2.7333 | 2.0 | 2640 | 2.2295 | 0.6133 |
| 2.0189 | 3.0 | 3960 | 1.5134 | 0.7587 |
| 1.2504 | 4.0 | 5280 | 1.0765 | 0.8282 |
| 0.7733 | 5.0 | 6600 | 0.7937 | 0.8629 |
| 0.5217 | 6.0 | 7920 | 0.6438 | 0.8784 |
| 0.3148 | 7.0 | 9240 | 0.5733 | 0.8857 |
| 0.2067 | 8.0 | 10560 | 0.5362 | 0.8912 |
| 0.1507 | 9.0 | 11880 | 0.5098 | 0.8903 |
| 0.1024 | 10.0 | 13200 | 0.5078 | 0.8976 |
| 0.0837 | 11.0 | 14520 | 0.5054 | 0.8967 |
| 0.0608 | 12.0 | 15840 | 0.5062 | 0.8958 |
| 0.0426 | 13.0 | 17160 | 0.5072 | 0.9013 |
| 0.0374 | 14.0 | 18480 | 0.5110 | 0.9040 |
| 0.0346 | 15.0 | 19800 | 0.5112 | 0.9004 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog | 61409640f883484fd121697983fe14e5bc9f16c0 | 2021-12-07T14:52:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
]
| text-classification | false | Jeska | null | Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog | 5 | null | transformers | 16,098 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog
This model is a fine-tuned version of [outputDA/checkpoint-7710](https://huggingface.co/outputDA/checkpoint-7710) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5025
- Accuracy: 0.9077
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 15.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.9925 | 1.0 | 1320 | 3.0954 | 0.4223 |
| 2.5041 | 2.0 | 2640 | 1.9762 | 0.6563 |
| 1.8061 | 3.0 | 3960 | 1.3196 | 0.7952 |
| 1.0694 | 4.0 | 5280 | 0.9304 | 0.8510 |
| 0.6479 | 5.0 | 6600 | 0.6875 | 0.8821 |
| 0.4408 | 6.0 | 7920 | 0.5692 | 0.8976 |
| 0.2542 | 7.0 | 9240 | 0.5291 | 0.8949 |
| 0.1709 | 8.0 | 10560 | 0.5038 | 0.9059 |
| 0.1181 | 9.0 | 11880 | 0.4885 | 0.9049 |
| 0.0878 | 10.0 | 13200 | 0.4900 | 0.9049 |
| 0.0702 | 11.0 | 14520 | 0.4930 | 0.9086 |
| 0.0528 | 12.0 | 15840 | 0.4987 | 0.9113 |
| 0.0406 | 13.0 | 17160 | 0.5009 | 0.9113 |
| 0.0321 | 14.0 | 18480 | 0.5017 | 0.9104 |
| 0.0308 | 15.0 | 19800 | 0.5025 | 0.9077 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3
|
JovenPai/bert_finetunning_test | c9b7b277308054659041f7be1c1b1f3a961446c3 | 2021-05-18T21:16:35.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
]
| text-classification | false | JovenPai | null | JovenPai/bert_finetunning_test | 5 | null | transformers | 16,099 | Entry not found |
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