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Chae/botman | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
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} | 5 | "2020-04-29T02:59:26Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-run
* source languages: fi
* target languages: run
* OPUS readme: [fi-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-run/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/fi-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.run | 23.2 | 0.498 |
|
Chaewon/mnmt_decoder_en_gpt2 | [] | null | {
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} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sk
* source languages: fi
* target languages: sk
* OPUS readme: [fi-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sk/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-sk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sk | 28.1 | 0.501 |
|
Chakita/Kalbert | [
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
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} | 5 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-sv
* source languages: fi
* target languages: sv
* OPUS readme: [fi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sv/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-04-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.zip)
* test set translations: [opus+bt-2020-04-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.test.txt)
* test set scores: [opus+bt-2020-04-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sv/opus+bt-2020-04-11.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| fiskmo_testset.fi.sv | 27.4 | 0.605 |
| Tatoeba.fi.sv | 54.7 | 0.709 |
|
Chandanbhat/distilbert-base-uncased-finetuned-cola | [] | null | {
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} | 0 | "2020-04-29T12:06:30Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-toi
* source languages: fi
* target languages: toi
* OPUS readme: [fi-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-toi/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-toi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-toi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-toi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.toi | 22.0 | 0.509 |
|
Charlotte/text2dm_models | [] | null | {
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} | 0 | "2020-04-29T12:07:06Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-tr
* source languages: fi
* target languages: tr
* OPUS readme: [fi-tr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tr/opus-2020-04-12.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.tr | 31.6 | 0.619 |
|
ChaseBread/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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} | 9 | "2020-04-29T12:07:33Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-tvl
* source languages: fi
* target languages: tvl
* OPUS readme: [fi-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tvl/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-tvl/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tvl/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tvl/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tvl | 33.6 | 0.517 |
|
Cheapestmedsshop/Buymodafinilus | [] | null | {
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} | 0 | "2020-04-29T12:08:02Z" | ---
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 |
|
Cheatham/xlm-roberta-large-finetuned-d1 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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} | 20 | "2020-04-29T12:09:05Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-ve
* source languages: fi
* target languages: ve
* OPUS readme: [fi-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ve/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/fi-ve/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ve/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ve/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ve | 26.0 | 0.495 |
|
Cheatham/xlm-roberta-large-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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} | 20 | "2020-04-29T12:10:40Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-yo
* source languages: fi
* target languages: yo
* OPUS readme: [fi-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-yo/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-yo/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-yo/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.yo | 25.8 | 0.427 |
|
Cheatham/xlm-roberta-large-finetuned4 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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} | 20 | "2020-05-12T21:39:50Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI
* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/README.md)
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+giella-2020-04-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.zip)
* test set translations: [opus+giella-2020-04-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.test.txt)
* test set scores: [opus+giella-2020-04-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| giella.fi.sms | 58.4 | 0.776 |
|
CheonggyeMountain-Sherpa/kogpt-trinity-poem | [
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} | 15 | "2020-08-08T13:49:21Z" | ---
language:
- se
- fi
- hu
- et
- fiu
tags:
- translation
license: apache-2.0
---
### fiu-fiu
* source group: Finno-Ugrian languages
* target group: Finno-Ugrian languages
* OPUS readme: [fiu-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est | 2.0 | 0.252 |
| Tatoeba-test.est-fin.est.fin | 51.0 | 0.704 |
| Tatoeba-test.est-fkv.est.fkv | 1.1 | 0.211 |
| Tatoeba-test.est-vep.est.vep | 3.1 | 0.272 |
| Tatoeba-test.fin-est.fin.est | 55.2 | 0.722 |
| Tatoeba-test.fin-fkv.fin.fkv | 1.6 | 0.207 |
| Tatoeba-test.fin-hun.fin.hun | 42.4 | 0.663 |
| Tatoeba-test.fin-izh.fin.izh | 12.9 | 0.509 |
| Tatoeba-test.fin-krl.fin.krl | 4.6 | 0.292 |
| Tatoeba-test.fkv-est.fkv.est | 2.4 | 0.148 |
| Tatoeba-test.fkv-fin.fkv.fin | 15.1 | 0.427 |
| Tatoeba-test.fkv-liv.fkv.liv | 1.2 | 0.261 |
| Tatoeba-test.fkv-vep.fkv.vep | 1.2 | 0.233 |
| Tatoeba-test.hun-fin.hun.fin | 47.8 | 0.681 |
| Tatoeba-test.izh-fin.izh.fin | 24.0 | 0.615 |
| Tatoeba-test.izh-krl.izh.krl | 1.8 | 0.114 |
| Tatoeba-test.krl-fin.krl.fin | 13.6 | 0.407 |
| Tatoeba-test.krl-izh.krl.izh | 2.7 | 0.096 |
| Tatoeba-test.liv-fkv.liv.fkv | 1.2 | 0.164 |
| Tatoeba-test.liv-vep.liv.vep | 3.4 | 0.181 |
| Tatoeba-test.multi.multi | 36.7 | 0.581 |
| Tatoeba-test.vep-est.vep.est | 3.4 | 0.251 |
| Tatoeba-test.vep-fkv.vep.fkv | 1.2 | 0.215 |
| Tatoeba-test.vep-liv.vep.liv | 3.4 | 0.179 |
### System Info:
- hf_name: fiu-fiu
- source_languages: fiu
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt
- src_alpha3: fiu
- tgt_alpha3: fiu
- short_pair: fiu-fiu
- chrF2_score: 0.581
- bleu: 36.7
- brevity_penalty: 0.981
- ref_len: 19444.0
- src_name: Finno-Ugrian languages
- tgt_name: Finno-Ugrian languages
- train_date: 2020-07-26
- src_alpha2: fiu
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: fiu-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Chertilasus/main | [] | null | {
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} | 0 | "2020-04-29T12:11:21Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fj-fr
* source languages: fj
* target languages: fr
* OPUS readme: [fj-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-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/fj-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fj.fr | 24.0 | 0.407 |
|
Chikita1/www_stash_stock | [
"license:bsd-3-clause-clear"
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} | 0 | "2020-08-19T00:16:01Z" | ---
language:
- fr
- ar
tags:
- translation
license: apache-2.0
---
### fra-ara
* source group: French
* target group: Arabic
* OPUS readme: [fra-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md)
* model: transformer
* source language(s): fra
* target language(s): apc ara arq arq_Latn ary arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.ara | 14.4 | 0.439 |
### System Info:
- hf_name: fra-ara
- source_languages: fra
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ar']
- src_constituents: {'fra'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt
- src_alpha3: fra
- tgt_alpha3: ara
- short_pair: fr-ar
- chrF2_score: 0.439
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 7956.0
- src_name: French
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: fr
- tgt_alpha2: ar
- prefer_old: False
- long_pair: fra-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Ching/negation_detector | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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}
} | 9 | "2020-04-29T12:12:03Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-bcl
* source languages: fr
* target languages: bcl
* OPUS readme: [fr-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bcl/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-bcl/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bcl | 35.9 | 0.566 |
|
Chiuchiyin/DialoGPT-small-Donald | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
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}
} | 7 | "2020-04-29T12:12:31Z" | ---
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 |
|
ChoboAvenger/DialoGPT-small-DocBot | [] | null | {
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}
} | 0 | "2020-04-29T12:12:46Z" | ---
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 |
|
ChoboAvenger/DialoGPT-small-joshua | [] | null | {
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}
} | 0 | "2020-04-29T12:12:59Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-bzs
* source languages: fr
* target languages: bzs
* OPUS readme: [fr-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bzs/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-bzs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bzs | 30.2 | 0.477 |
|
ChrisP/xlm-roberta-base-finetuned-marc-en | [] | null | {
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} | 0 | "2020-04-29T12:13:12Z" | ---
language:
- fr
- ca
tags:
- translation
license: apache-2.0
---
### fra-cat
* source group: French
* target group: Catalan
* OPUS readme: [fra-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.cat | 43.4 | 0.645 |
### System Info:
- hf_name: fra-cat
- source_languages: fra
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ca']
- src_constituents: {'fra'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt
- src_alpha3: fra
- tgt_alpha3: cat
- short_pair: fr-ca
- chrF2_score: 0.645
- bleu: 43.4
- brevity_penalty: 0.982
- ref_len: 5214.0
- src_name: French
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: fr
- tgt_alpha2: ca
- prefer_old: False
- long_pair: fra-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
ChrisVCB/DialoGPT-medium-cmjs | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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} | 7 | "2020-04-29T12:13:28Z" | ---
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 |
|
ChrisVCB/DialoGPT-medium-ej | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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},
"text-generation": {
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},
"translation_en_to_de": {
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},
"translation_en_to_fr": {
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"translation_en_to_ro": {
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"max_length": null,
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"prefix": null
}
}
} | 13 | "2020-04-29T12:13:43Z" | ---
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 |
|
ChristianOrr/madnet_keras | [
"tensorboard",
"dataset:flyingthings-3d",
"dataset:kitti",
"arxiv:1810.05424",
"vision",
"deep-stereo",
"depth-estimation",
"Tensorflow2",
"Keras",
"license:apache-2.0"
] | depth-estimation | {
"architectures": null,
"model_type": null,
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"translation_en_to_fr": {
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"translation_en_to_ro": {
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}
}
} | 0 | "2020-04-29T12:13:57Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-de
* source languages: fr
* target languages: de
* OPUS readme: [fr-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-de/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-de/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.fr | 26.4 | 0.571 |
| newssyscomb2009.fr.de | 22.1 | 0.524 |
| news-test2008.fr.de | 22.1 | 0.524 |
| newstest2009.fr.de | 21.6 | 0.520 |
| newstest2010.fr.de | 22.6 | 0.527 |
| newstest2011.fr.de | 21.5 | 0.518 |
| newstest2012.fr.de | 22.4 | 0.516 |
| newstest2013.fr.de | 24.2 | 0.532 |
| newstest2019-frde.fr.de | 27.9 | 0.595 |
| Tatoeba.fr.de | 49.1 | 0.676 |
|
ChristopherA08/IndoELECTRA | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | {
"architectures": [
"ElectraForPreTraining"
],
"model_type": "electra",
"task_specific_params": {
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},
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"translation_en_to_ro": {
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}
}
} | 4 | "2020-04-29T12:14:10Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ee
* source languages: fr
* target languages: ee
* OPUS readme: [fr-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ee/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-ee/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ee | 26.3 | 0.466 |
|
Chuah/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
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},
"text-generation": {
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},
"translation_en_to_de": {
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},
"translation_en_to_fr": {
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},
"translation_en_to_ro": {
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"max_length": null,
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"prefix": null
}
}
} | 9 | "2020-04-29T12:14:24Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-efi
* source languages: fr
* target languages: efi
* OPUS readme: [fr-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-efi/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-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.efi | 26.9 | 0.462 |
|
ChukSamuels/DialoGPT-small-Dr.FauciBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
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"min_length": null,
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},
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},
"translation_en_to_de": {
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},
"translation_en_to_fr": {
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},
"translation_en_to_ro": {
"early_stopping": null,
"max_length": null,
"num_beams": null,
"prefix": null
}
}
} | 13 | "2020-04-29T12:14:37Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-el
* source languages: fr
* target languages: el
* OPUS readme: [fr-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-el/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-el/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.el | 56.2 | 0.719 |
|
Chun/DialoGPT-large-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams": null,
"prefix": null
},
"text-generation": {
"do_sample": null,
"max_length": null
},
"translation_en_to_de": {
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},
"translation_en_to_fr": {
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},
"translation_en_to_ro": {
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"max_length": null,
"num_beams": null,
"prefix": null
}
}
} | 6 | "2020-04-29T12:14:50Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-en
* source languages: fr
* target languages: en
* OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.fr.en | 33.1 | 0.580 |
| newsdiscusstest2015-enfr.fr.en | 38.7 | 0.614 |
| newssyscomb2009.fr.en | 30.3 | 0.569 |
| news-test2008.fr.en | 26.2 | 0.542 |
| newstest2009.fr.en | 30.2 | 0.570 |
| newstest2010.fr.en | 32.2 | 0.590 |
| newstest2011.fr.en | 33.0 | 0.597 |
| newstest2012.fr.en | 32.8 | 0.591 |
| newstest2013.fr.en | 33.9 | 0.591 |
| newstest2014-fren.fr.en | 37.8 | 0.633 |
| Tatoeba.fr.en | 57.5 | 0.720 |
|
Chun/DialoGPT-small-dailydialog | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
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},
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},
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},
"translation_en_to_fr": {
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},
"translation_en_to_ro": {
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"prefix": null
}
}
} | 10 | "2020-04-29T12:15:29Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-es
* source languages: fr
* target languages: es
* OPUS readme: [fr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-es/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-es/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.fr.es | 34.3 | 0.601 |
| news-test2008.fr.es | 32.5 | 0.583 |
| newstest2009.fr.es | 31.6 | 0.586 |
| newstest2010.fr.es | 36.5 | 0.616 |
| newstest2011.fr.es | 38.3 | 0.622 |
| newstest2012.fr.es | 38.1 | 0.619 |
| newstest2013.fr.es | 34.0 | 0.587 |
| Tatoeba.fr.es | 53.2 | 0.709 |
|
Chun/w-en2zh-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
"conversational": {
"max_length": null
},
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}
} | 1 | "2020-04-29T12:15:45Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-fj
* source languages: fr
* target languages: fj
* OPUS readme: [fr-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-fj/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-fj/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.fj | 27.4 | 0.487 |
|
Chun/w-en2zh-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
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},
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}
} | 7 | "2020-04-29T12:16:16Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-gaa
* source languages: fr
* target languages: gaa
* OPUS readme: [fr-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gaa/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-gaa/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gaa | 27.8 | 0.473 |
|
Chun/w-en2zh-otm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MBartForConditionalGeneration"
],
"model_type": "mbart",
"task_specific_params": {
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},
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"translation_en_to_ro": {
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}
}
} | 7 | "2020-04-29T12:16:30Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-gil
* source languages: fr
* target languages: gil
* OPUS readme: [fr-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gil/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-gil/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gil | 27.9 | 0.499 |
|
Chun/w-zh2en-hsk | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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} | 3 | "2020-04-29T12:16:43Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-guw
* source languages: fr
* target languages: guw
* OPUS readme: [fr-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-guw/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-guw/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.guw | 31.4 | 0.505 |
|
Chun/w-zh2en-mtm | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"MBartForConditionalGeneration"
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} | 8 | "2020-04-29T12:16:59Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ha
* source languages: fr
* target languages: ha
* OPUS readme: [fr-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ha/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-ha/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ha | 24.4 | 0.447 |
|
Chun/w-zh2en-mto | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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} | 7 | "2020-04-29T12:17:13Z" | ---
language:
- fr
- he
tags:
- translation
license: apache-2.0
---
### fr-he
* source group: French
* target group: Hebrew
* OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md)
* model: transformer
* source language(s): fra
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.heb | 39.2 | 0.598 |
### System Info:
- hf_name: fr-he
- source_languages: fra
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'he']
- src_constituents: ('French', {'fra'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fra-heb
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt
- src_alpha3: fra
- tgt_alpha3: heb
- chrF2_score: 0.598
- bleu: 39.2
- brevity_penalty: 1.0
- ref_len: 20655.0
- src_name: French
- tgt_name: Hebrew
- train_date: 2020-12-10 00:00:00
- src_alpha2: fr
- tgt_alpha2: he
- prefer_old: False
- short_pair: fr-he
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-16:02 |
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} | 0 | "2020-04-29T12:17:27Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hil
* source languages: fr
* target languages: hil
* OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-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/fr-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hil | 34.7 | 0.559 |
|
Chungu424/qazwsx | [] | null | {
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} | 0 | "2020-04-29T12:17:43Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ho
* source languages: fr
* target languages: ho
* OPUS readme: [fr-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ho/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-ho/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ho | 25.4 | 0.480 |
|
Chungu424/repo | [] | null | {
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} | 0 | "2020-04-29T12:18:11Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hr
* source languages: fr
* target languages: hr
* OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hr | 20.7 | 0.442 |
|
Chungu424/repodata | [] | null | {
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} | 0 | "2020-04-29T12:18:28Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ht
* source languages: fr
* target languages: ht
* OPUS readme: [fr-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ht/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-ht/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ht | 29.2 | 0.461 |
|
Chuu/Chumar | [] | null | {
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} | 0 | "2020-04-29T12:18:43Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hu
* source languages: fr
* target languages: hu
* OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.hu | 41.3 | 0.629 |
|
Ci/Pai | [] | null | {
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} | 0 | "2020-04-29T12:19:14Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-id
* source languages: fr
* target languages: id
* OPUS readme: [fr-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-id/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-id/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.id | 37.2 | 0.636 |
|
Cilan/dalle-knockoff | [] | null | {
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} | 0 | "2020-04-29T12:19:34Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ig
* source languages: fr
* target languages: ig
* OPUS readme: [fr-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ig/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-ig/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ig | 29.0 | 0.445 |
|
Cinnamon/electra-small-japanese-generator | [
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"fill-mask",
"ja",
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}
} | 19 | "2020-04-29T12:20:03Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-iso
* source languages: fr
* target languages: iso
* OPUS readme: [fr-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-iso/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-iso/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.iso | 26.7 | 0.429 |
|
Ciruzzo/DialoGPT-medium-harrypotter | [] | null | {
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} | 0 | "2020-04-29T12:20:33Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-kg
* source languages: fr
* target languages: kg
* OPUS readme: [fr-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kg | 30.4 | 0.523 |
|
Clint/clinton | [] | null | {
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} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-mos
* source languages: fr
* target languages: mos
* OPUS readme: [fr-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mos | 21.1 | 0.353 |
|
Cloudy/DialoGPT-CJ-large | [
"pytorch",
"conversational"
] | conversational | {
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}
} | 1 | "2020-08-19T00:16:25Z" | ---
language:
- fr
- ms
tags:
- translation
license: apache-2.0
---
### fra-msa
* source group: French
* target group: Malay (macrolanguage)
* OPUS readme: [fra-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): ind zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.msa | 35.3 | 0.617 |
### System Info:
- hf_name: fra-msa
- source_languages: fra
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ms']
- src_constituents: {'fra'}
- 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/fra-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: msa
- short_pair: fr-ms
- chrF2_score: 0.617
- bleu: 35.3
- brevity_penalty: 0.978
- ref_len: 6696.0
- src_name: French
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: ms
- prefer_old: False
- long_pair: fra-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
ClydeWasTaken/DialoGPT-small-joshua | [
"conversational"
] | conversational | {
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}
} | 0 | "2020-04-29T12:23:54Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-mt
* source languages: fr
* target languages: mt
* OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/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-mt/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mt | 28.7 | 0.466 |
|
CoShin/XLM-roberta-large_ko_en_nil_sts | [] | null | {
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}
} | 0 | "2020-04-29T12:24:07Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-niu
* source languages: fr
* target languages: niu
* OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/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-niu/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.niu | 34.5 | 0.537 |
|
CoachCarter/distilbert-base-uncased-finetuned-squad | [] | null | {
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}
} | 0 | "2020-08-19T00:16:28Z" | ---
language:
- fr
- no
tags:
- translation
license: apache-2.0
---
### fra-nor
* source group: French
* target group: Norwegian
* OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.nor | 36.1 | 0.555 |
### System Info:
- hf_name: fra-nor
- source_languages: fra
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'no']
- src_constituents: {'fra'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: nor
- short_pair: fr-no
- chrF2_score: 0.555
- bleu: 36.1
- brevity_penalty: 0.981
- ref_len: 3089.0
- src_name: French
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: no
- prefer_old: False
- long_pair: fra-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
CoachCarter/distilbert-base-uncased | [] | null | {
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} | 0 | "2020-04-29T12:24:21Z" | ---
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 |
|
CodeDanCode/CartmenBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
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} | 14 | "2020-04-29T12:24:37Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ny
* source languages: fr
* target languages: ny
* OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ny/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-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ny | 23.2 | 0.481 |
|
CodeDanCode/SP-KyleBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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} | 15 | "2020-04-29T12:24:52Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pag
* source languages: fr
* target languages: pag
* OPUS readme: [fr-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pag/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-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pag | 27.0 | 0.486 |
|
CodeMonkey98/distilroberta-base-finetuned-wikitext2 | [] | null | {
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}
}
} | 0 | "2020-04-29T12:25:08Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pap
* source languages: fr
* target languages: pap
* OPUS readme: [fr-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pap | 27.8 | 0.464 |
|
CodeNinja1126/bert-p-encoder | [
"pytorch"
] | null | {
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}
}
} | 3 | "2020-04-29T12:25:23Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pis
* source languages: fr
* target languages: pis
* OPUS readme: [fr-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pis/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-pis/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pis | 29.0 | 0.486 |
|
CodeNinja1126/bert-q-encoder | [
"pytorch"
] | null | {
"architectures": null,
"model_type": null,
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"translation_en_to_ro": {
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}
}
} | 3 | "2020-04-29T12:25:38Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pl
* source languages: fr
* target languages: pl
* OPUS readme: [fr-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pl/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-pl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.pl | 40.7 | 0.625 |
|
CodeNinja1126/koelectra-model | [] | null | {
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}
}
} | 0 | "2020-04-29T12:25:52Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-pon
* source languages: fr
* target languages: pon
* OPUS readme: [fr-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pon | 23.9 | 0.458 |
|
CodeNinja1126/test-model | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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},
"translation_en_to_ro": {
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}
}
} | 24 | "2020-04-29T12:26:05Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-rnd
* source languages: fr
* target languages: rnd
* OPUS readme: [fr-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rnd/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-rnd/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rnd | 21.8 | 0.431 |
|
CodeNinja1126/xlm-roberta-large-kor-mrc | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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},
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},
"translation_en_to_ro": {
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}
}
} | 8 | "2020-04-29T12:26:29Z" | ---
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 |
|
CoderBoy432/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
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},
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},
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},
"translation_en_to_ro": {
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"prefix": null
}
}
} | 11 | "2020-04-29T12:26:51Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ru
* source languages: fr
* target languages: ru
* OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ru | 37.9 | 0.585 |
|
CoderEFE/DialoGPT-marxbot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"has_space"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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},
"translation_en_to_ro": {
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"prefix": null
}
}
} | 11 | "2020-04-29T12:27:09Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-run
* source languages: fr
* target languages: run
* OPUS readme: [fr-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-run/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-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.run | 23.8 | 0.482 |
|
CoderEFE/DialoGPT-medium-marx | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
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},
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},
"translation_en_to_ro": {
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"prefix": null
}
}
} | 7 | "2020-04-29T12:27:23Z" | ---
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 |
|
Venkatakrishnan-Ramesh/Text_gen | [] | null | {
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}
} | 0 | "2020-04-29T12:27:40Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-sg
* source languages: fr
* target languages: sg
* OPUS readme: [fr-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sg/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-sg/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sg | 29.7 | 0.473 |
|
CoffeeAddict93/gpt2-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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}
} | 6 | "2020-04-29T12:28:33Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-sm
* source languages: fr
* target languages: sm
* OPUS readme: [fr-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sm/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-sm/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sm | 28.8 | 0.474 |
|
CoffeeAddict93/gpt2-medium-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"translation_en_to_ro": {
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}
} | 14 | "2020-04-29T12:28:56Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-sn
* source languages: fr
* target languages: sn
* OPUS readme: [fr-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sn | 23.4 | 0.507 |
|
CoffeeAddict93/gpt2-medium-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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}
} | 7 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-srn
* source languages: fr
* target languages: srn
* OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/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-srn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.srn | 27.4 | 0.459 |
|
Contrastive-Tension/BERT-Distil-NLI-CT | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
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}
} | 6 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fse-fi
* source languages: fse
* target languages: fi
* OPUS readme: [fse-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fse-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fse.fi | 90.2 | 0.943 |
|
Contrastive-Tension/BERT-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
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"prefix": null
}
}
} | 7 | null | ---
language:
- ga
- en
tags:
- translation
license: apache-2.0
---
### gle-eng
* source group: Irish
* target group: English
* OPUS readme: [gle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md)
* model: transformer-align
* source language(s): gle
* target language(s): eng
* 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/gle-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.gle.eng | 51.6 | 0.672 |
### System Info:
- hf_name: gle-eng
- source_languages: gle
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ga', 'en']
- src_constituents: {'gle'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt
- src_alpha3: gle
- tgt_alpha3: eng
- short_pair: ga-en
- chrF2_score: 0.672
- bleu: 51.6
- brevity_penalty: 1.0
- ref_len: 11247.0
- src_name: Irish
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ga
- tgt_alpha2: en
- prefer_old: False
- long_pair: gle-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Contrastive-Tension/BERT-Large-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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}
} | 5 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-de
* source languages: gaa
* target languages: de
* OPUS readme: [gaa-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-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/gaa-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.de | 23.3 | 0.438 |
|
Contrastive-Tension/BERT-Large-NLI-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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},
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}
}
} | 15 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-en
* source languages: gaa
* target languages: en
* OPUS readme: [gaa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.en | 41.0 | 0.567 |
|
Contrastive-Tension/RoBerta-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
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}
} | 5 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-es
* source languages: gaa
* target languages: es
* OPUS readme: [gaa-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.es | 28.6 | 0.463 |
|
Cooker/cicero-similis | [] | null | {
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}
} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-fi
* source languages: gaa
* target languages: fi
* OPUS readme: [gaa-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.fi | 26.4 | 0.498 |
|
Cool/Demo | [] | null | {
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}
}
} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-fr
* source languages: gaa
* target languages: fr
* OPUS readme: [gaa-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-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/gaa-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.fr | 27.8 | 0.455 |
|
Coolhand/Abuela | [
"en",
"image_restoration",
"superresolution",
"license:mit"
] | null | {
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}
} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-sv
* source languages: gaa
* target languages: sv
* OPUS readme: [gaa-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.sv | 30.1 | 0.489 |
|
Coolhand/Sentiment | [] | null | {
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} | 0 | null | ---
language:
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- en
- lb
- yi
- gem
tags:
- translation
license: apache-2.0
---
### gem-eng
* source group: Germanic languages
* target group: English
* OPUS readme: [gem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md)
* model: transformer
* source language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* 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/gem-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng | 27.2 | 0.542 |
| news-test2008-deueng.deu.eng | 26.3 | 0.536 |
| newstest2009-deueng.deu.eng | 25.1 | 0.531 |
| newstest2010-deueng.deu.eng | 28.3 | 0.569 |
| newstest2011-deueng.deu.eng | 26.0 | 0.543 |
| newstest2012-deueng.deu.eng | 26.8 | 0.550 |
| newstest2013-deueng.deu.eng | 30.2 | 0.570 |
| newstest2014-deen-deueng.deu.eng | 30.7 | 0.574 |
| newstest2015-ende-deueng.deu.eng | 32.1 | 0.581 |
| newstest2016-ende-deueng.deu.eng | 36.9 | 0.624 |
| newstest2017-ende-deueng.deu.eng | 32.8 | 0.588 |
| newstest2018-ende-deueng.deu.eng | 40.2 | 0.640 |
| newstest2019-deen-deueng.deu.eng | 36.8 | 0.614 |
| Tatoeba-test.afr-eng.afr.eng | 62.8 | 0.758 |
| Tatoeba-test.ang-eng.ang.eng | 10.5 | 0.262 |
| Tatoeba-test.dan-eng.dan.eng | 61.6 | 0.754 |
| Tatoeba-test.deu-eng.deu.eng | 49.7 | 0.665 |
| Tatoeba-test.enm-eng.enm.eng | 23.9 | 0.491 |
| Tatoeba-test.fao-eng.fao.eng | 23.4 | 0.446 |
| Tatoeba-test.frr-eng.frr.eng | 10.2 | 0.184 |
| Tatoeba-test.fry-eng.fry.eng | 29.6 | 0.486 |
| Tatoeba-test.gos-eng.gos.eng | 17.8 | 0.352 |
| Tatoeba-test.got-eng.got.eng | 0.1 | 0.058 |
| Tatoeba-test.gsw-eng.gsw.eng | 15.3 | 0.333 |
| Tatoeba-test.isl-eng.isl.eng | 51.0 | 0.669 |
| Tatoeba-test.ksh-eng.ksh.eng | 6.7 | 0.266 |
| Tatoeba-test.ltz-eng.ltz.eng | 33.0 | 0.505 |
| Tatoeba-test.multi.eng | 54.0 | 0.687 |
| Tatoeba-test.nds-eng.nds.eng | 33.6 | 0.529 |
| Tatoeba-test.nld-eng.nld.eng | 58.9 | 0.733 |
| Tatoeba-test.non-eng.non.eng | 37.3 | 0.546 |
| Tatoeba-test.nor-eng.nor.eng | 54.9 | 0.696 |
| Tatoeba-test.pdc-eng.pdc.eng | 29.6 | 0.446 |
| Tatoeba-test.sco-eng.sco.eng | 40.5 | 0.581 |
| Tatoeba-test.stq-eng.stq.eng | 14.5 | 0.361 |
| Tatoeba-test.swe-eng.swe.eng | 62.0 | 0.745 |
| Tatoeba-test.swg-eng.swg.eng | 17.1 | 0.334 |
| Tatoeba-test.yid-eng.yid.eng | 19.4 | 0.400 |
### System Info:
- hf_name: gem-eng
- source_languages: gem
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']
- src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt
- src_alpha3: gem
- tgt_alpha3: eng
- short_pair: gem-en
- chrF2_score: 0.687
- bleu: 54.0
- brevity_penalty: 0.993
- ref_len: 72120.0
- src_name: Germanic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: gem
- tgt_alpha2: en
- prefer_old: False
- long_pair: gem-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
CopymySkill/DialoGPT-medium-atakan | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams": null,
"prefix": null
},
"text-generation": {
"do_sample": null,
"max_length": null
},
"translation_en_to_de": {
"early_stopping": null,
"max_length": null,
"num_beams": null,
"prefix": null
},
"translation_en_to_fr": {
"early_stopping": null,
"max_length": null,
"num_beams": null,
"prefix": null
},
"translation_en_to_ro": {
"early_stopping": null,
"max_length": null,
"num_beams": null,
"prefix": null
}
}
} | 7 | null | ---
language:
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- en
- lb
- yi
- gem
tags:
- translation
license: apache-2.0
---
### gem-gem
* source group: Germanic languages
* target group: Germanic languages
* OPUS readme: [gem-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md)
* model: transformer
* source language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* target language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng | 24.5 | 0.519 |
| newssyscomb2009-engdeu.eng.deu | 18.7 | 0.495 |
| news-test2008-deueng.deu.eng | 22.8 | 0.509 |
| news-test2008-engdeu.eng.deu | 18.6 | 0.485 |
| newstest2009-deueng.deu.eng | 22.2 | 0.507 |
| newstest2009-engdeu.eng.deu | 18.3 | 0.491 |
| newstest2010-deueng.deu.eng | 24.8 | 0.537 |
| newstest2010-engdeu.eng.deu | 19.7 | 0.499 |
| newstest2011-deueng.deu.eng | 22.9 | 0.516 |
| newstest2011-engdeu.eng.deu | 18.3 | 0.485 |
| newstest2012-deueng.deu.eng | 23.9 | 0.524 |
| newstest2012-engdeu.eng.deu | 18.5 | 0.484 |
| newstest2013-deueng.deu.eng | 26.3 | 0.537 |
| newstest2013-engdeu.eng.deu | 21.5 | 0.506 |
| newstest2014-deen-deueng.deu.eng | 25.7 | 0.535 |
| newstest2015-ende-deueng.deu.eng | 27.3 | 0.542 |
| newstest2015-ende-engdeu.eng.deu | 24.2 | 0.534 |
| newstest2016-ende-deueng.deu.eng | 31.8 | 0.584 |
| newstest2016-ende-engdeu.eng.deu | 28.4 | 0.564 |
| newstest2017-ende-deueng.deu.eng | 27.6 | 0.545 |
| newstest2017-ende-engdeu.eng.deu | 22.8 | 0.527 |
| newstest2018-ende-deueng.deu.eng | 34.1 | 0.593 |
| newstest2018-ende-engdeu.eng.deu | 32.7 | 0.595 |
| newstest2019-deen-deueng.deu.eng | 30.6 | 0.565 |
| newstest2019-ende-engdeu.eng.deu | 29.5 | 0.567 |
| Tatoeba-test.afr-ang.afr.ang | 0.0 | 0.053 |
| Tatoeba-test.afr-dan.afr.dan | 57.8 | 0.907 |
| Tatoeba-test.afr-deu.afr.deu | 46.4 | 0.663 |
| Tatoeba-test.afr-eng.afr.eng | 57.4 | 0.717 |
| Tatoeba-test.afr-enm.afr.enm | 11.3 | 0.285 |
| Tatoeba-test.afr-fry.afr.fry | 0.0 | 0.167 |
| Tatoeba-test.afr-gos.afr.gos | 1.5 | 0.178 |
| Tatoeba-test.afr-isl.afr.isl | 29.0 | 0.760 |
| Tatoeba-test.afr-ltz.afr.ltz | 11.2 | 0.246 |
| Tatoeba-test.afr-nld.afr.nld | 53.3 | 0.708 |
| Tatoeba-test.afr-nor.afr.nor | 66.0 | 0.752 |
| Tatoeba-test.afr-swe.afr.swe | 88.0 | 0.955 |
| Tatoeba-test.afr-yid.afr.yid | 59.5 | 0.443 |
| Tatoeba-test.ang-afr.ang.afr | 10.7 | 0.043 |
| Tatoeba-test.ang-dan.ang.dan | 6.3 | 0.190 |
| Tatoeba-test.ang-deu.ang.deu | 1.4 | 0.212 |
| Tatoeba-test.ang-eng.ang.eng | 8.1 | 0.247 |
| Tatoeba-test.ang-enm.ang.enm | 1.7 | 0.196 |
| Tatoeba-test.ang-fao.ang.fao | 10.7 | 0.105 |
| Tatoeba-test.ang-gos.ang.gos | 10.7 | 0.128 |
| Tatoeba-test.ang-isl.ang.isl | 16.0 | 0.135 |
| Tatoeba-test.ang-ltz.ang.ltz | 16.0 | 0.121 |
| Tatoeba-test.ang-yid.ang.yid | 1.5 | 0.136 |
| Tatoeba-test.dan-afr.dan.afr | 22.7 | 0.655 |
| Tatoeba-test.dan-ang.dan.ang | 3.1 | 0.110 |
| Tatoeba-test.dan-deu.dan.deu | 47.4 | 0.676 |
| Tatoeba-test.dan-eng.dan.eng | 54.7 | 0.704 |
| Tatoeba-test.dan-enm.dan.enm | 4.8 | 0.291 |
| Tatoeba-test.dan-fao.dan.fao | 9.7 | 0.120 |
| Tatoeba-test.dan-gos.dan.gos | 3.8 | 0.240 |
| Tatoeba-test.dan-isl.dan.isl | 66.1 | 0.678 |
| Tatoeba-test.dan-ltz.dan.ltz | 78.3 | 0.563 |
| Tatoeba-test.dan-nds.dan.nds | 6.2 | 0.335 |
| Tatoeba-test.dan-nld.dan.nld | 60.0 | 0.748 |
| Tatoeba-test.dan-nor.dan.nor | 68.1 | 0.812 |
| Tatoeba-test.dan-swe.dan.swe | 65.0 | 0.785 |
| Tatoeba-test.dan-swg.dan.swg | 2.6 | 0.182 |
| Tatoeba-test.dan-yid.dan.yid | 9.3 | 0.226 |
| Tatoeba-test.deu-afr.deu.afr | 50.3 | 0.682 |
| Tatoeba-test.deu-ang.deu.ang | 0.5 | 0.118 |
| Tatoeba-test.deu-dan.deu.dan | 49.6 | 0.679 |
| Tatoeba-test.deu-eng.deu.eng | 43.4 | 0.618 |
| Tatoeba-test.deu-enm.deu.enm | 2.2 | 0.159 |
| Tatoeba-test.deu-frr.deu.frr | 0.4 | 0.156 |
| Tatoeba-test.deu-fry.deu.fry | 10.7 | 0.355 |
| Tatoeba-test.deu-gos.deu.gos | 0.7 | 0.183 |
| Tatoeba-test.deu-got.deu.got | 0.3 | 0.010 |
| Tatoeba-test.deu-gsw.deu.gsw | 1.1 | 0.130 |
| Tatoeba-test.deu-isl.deu.isl | 24.3 | 0.504 |
| Tatoeba-test.deu-ksh.deu.ksh | 0.9 | 0.173 |
| Tatoeba-test.deu-ltz.deu.ltz | 15.6 | 0.304 |
| Tatoeba-test.deu-nds.deu.nds | 21.2 | 0.469 |
| Tatoeba-test.deu-nld.deu.nld | 47.1 | 0.657 |
| Tatoeba-test.deu-nor.deu.nor | 43.9 | 0.646 |
| Tatoeba-test.deu-pdc.deu.pdc | 3.0 | 0.133 |
| Tatoeba-test.deu-sco.deu.sco | 12.0 | 0.296 |
| Tatoeba-test.deu-stq.deu.stq | 0.6 | 0.137 |
| Tatoeba-test.deu-swe.deu.swe | 50.6 | 0.668 |
| Tatoeba-test.deu-swg.deu.swg | 0.2 | 0.137 |
| Tatoeba-test.deu-yid.deu.yid | 3.9 | 0.229 |
| Tatoeba-test.eng-afr.eng.afr | 55.2 | 0.721 |
| Tatoeba-test.eng-ang.eng.ang | 4.9 | 0.118 |
| Tatoeba-test.eng-dan.eng.dan | 52.6 | 0.684 |
| Tatoeba-test.eng-deu.eng.deu | 35.4 | 0.573 |
| Tatoeba-test.eng-enm.eng.enm | 1.8 | 0.223 |
| Tatoeba-test.eng-fao.eng.fao | 7.0 | 0.312 |
| Tatoeba-test.eng-frr.eng.frr | 1.2 | 0.050 |
| Tatoeba-test.eng-fry.eng.fry | 15.8 | 0.381 |
| Tatoeba-test.eng-gos.eng.gos | 0.7 | 0.170 |
| Tatoeba-test.eng-got.eng.got | 0.3 | 0.011 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.5 | 0.126 |
| Tatoeba-test.eng-isl.eng.isl | 20.9 | 0.463 |
| Tatoeba-test.eng-ksh.eng.ksh | 1.0 | 0.141 |
| Tatoeba-test.eng-ltz.eng.ltz | 12.8 | 0.292 |
| Tatoeba-test.eng-nds.eng.nds | 18.3 | 0.428 |
| Tatoeba-test.eng-nld.eng.nld | 47.3 | 0.657 |
| Tatoeba-test.eng-non.eng.non | 0.3 | 0.145 |
| Tatoeba-test.eng-nor.eng.nor | 47.2 | 0.650 |
| Tatoeba-test.eng-pdc.eng.pdc | 4.8 | 0.177 |
| Tatoeba-test.eng-sco.eng.sco | 38.1 | 0.597 |
| Tatoeba-test.eng-stq.eng.stq | 2.4 | 0.288 |
| Tatoeba-test.eng-swe.eng.swe | 52.7 | 0.677 |
| Tatoeba-test.eng-swg.eng.swg | 1.1 | 0.163 |
| Tatoeba-test.eng-yid.eng.yid | 4.5 | 0.223 |
| Tatoeba-test.enm-afr.enm.afr | 22.8 | 0.401 |
| Tatoeba-test.enm-ang.enm.ang | 0.4 | 0.062 |
| Tatoeba-test.enm-dan.enm.dan | 51.4 | 0.782 |
| Tatoeba-test.enm-deu.enm.deu | 33.8 | 0.473 |
| Tatoeba-test.enm-eng.enm.eng | 22.4 | 0.495 |
| Tatoeba-test.enm-fry.enm.fry | 16.0 | 0.173 |
| Tatoeba-test.enm-gos.enm.gos | 6.1 | 0.222 |
| Tatoeba-test.enm-isl.enm.isl | 59.5 | 0.651 |
| Tatoeba-test.enm-ksh.enm.ksh | 10.5 | 0.130 |
| Tatoeba-test.enm-nds.enm.nds | 18.1 | 0.327 |
| Tatoeba-test.enm-nld.enm.nld | 38.3 | 0.546 |
| Tatoeba-test.enm-nor.enm.nor | 15.6 | 0.290 |
| Tatoeba-test.enm-yid.enm.yid | 2.3 | 0.215 |
| Tatoeba-test.fao-ang.fao.ang | 2.1 | 0.035 |
| Tatoeba-test.fao-dan.fao.dan | 53.7 | 0.625 |
| Tatoeba-test.fao-eng.fao.eng | 24.7 | 0.435 |
| Tatoeba-test.fao-gos.fao.gos | 12.7 | 0.116 |
| Tatoeba-test.fao-isl.fao.isl | 26.3 | 0.341 |
| Tatoeba-test.fao-nor.fao.nor | 41.9 | 0.586 |
| Tatoeba-test.fao-swe.fao.swe | 0.0 | 1.000 |
| Tatoeba-test.frr-deu.frr.deu | 7.4 | 0.263 |
| Tatoeba-test.frr-eng.frr.eng | 7.0 | 0.157 |
| Tatoeba-test.frr-fry.frr.fry | 4.0 | 0.112 |
| Tatoeba-test.frr-gos.frr.gos | 1.0 | 0.135 |
| Tatoeba-test.frr-nds.frr.nds | 12.4 | 0.207 |
| Tatoeba-test.frr-nld.frr.nld | 10.6 | 0.227 |
| Tatoeba-test.frr-stq.frr.stq | 1.0 | 0.058 |
| Tatoeba-test.fry-afr.fry.afr | 12.7 | 0.333 |
| Tatoeba-test.fry-deu.fry.deu | 30.8 | 0.555 |
| Tatoeba-test.fry-eng.fry.eng | 31.2 | 0.506 |
| Tatoeba-test.fry-enm.fry.enm | 0.0 | 0.175 |
| Tatoeba-test.fry-frr.fry.frr | 1.6 | 0.091 |
| Tatoeba-test.fry-gos.fry.gos | 1.1 | 0.254 |
| Tatoeba-test.fry-ltz.fry.ltz | 30.4 | 0.526 |
| Tatoeba-test.fry-nds.fry.nds | 12.4 | 0.116 |
| Tatoeba-test.fry-nld.fry.nld | 43.4 | 0.637 |
| Tatoeba-test.fry-nor.fry.nor | 47.1 | 0.607 |
| Tatoeba-test.fry-stq.fry.stq | 0.6 | 0.181 |
| Tatoeba-test.fry-swe.fry.swe | 30.2 | 0.587 |
| Tatoeba-test.fry-yid.fry.yid | 3.1 | 0.173 |
| Tatoeba-test.gos-afr.gos.afr | 1.8 | 0.215 |
| Tatoeba-test.gos-ang.gos.ang | 0.0 | 0.045 |
| Tatoeba-test.gos-dan.gos.dan | 4.1 | 0.236 |
| Tatoeba-test.gos-deu.gos.deu | 19.6 | 0.406 |
| Tatoeba-test.gos-eng.gos.eng | 15.1 | 0.329 |
| Tatoeba-test.gos-enm.gos.enm | 5.8 | 0.271 |
| Tatoeba-test.gos-fao.gos.fao | 19.0 | 0.136 |
| Tatoeba-test.gos-frr.gos.frr | 1.3 | 0.119 |
| Tatoeba-test.gos-fry.gos.fry | 17.1 | 0.388 |
| Tatoeba-test.gos-isl.gos.isl | 16.8 | 0.356 |
| Tatoeba-test.gos-ltz.gos.ltz | 3.6 | 0.174 |
| Tatoeba-test.gos-nds.gos.nds | 4.7 | 0.225 |
| Tatoeba-test.gos-nld.gos.nld | 16.3 | 0.406 |
| Tatoeba-test.gos-stq.gos.stq | 0.7 | 0.154 |
| Tatoeba-test.gos-swe.gos.swe | 8.6 | 0.319 |
| Tatoeba-test.gos-yid.gos.yid | 4.4 | 0.165 |
| Tatoeba-test.got-deu.got.deu | 0.2 | 0.041 |
| Tatoeba-test.got-eng.got.eng | 0.2 | 0.068 |
| Tatoeba-test.got-nor.got.nor | 0.6 | 0.000 |
| Tatoeba-test.gsw-deu.gsw.deu | 15.9 | 0.373 |
| Tatoeba-test.gsw-eng.gsw.eng | 14.7 | 0.320 |
| Tatoeba-test.isl-afr.isl.afr | 38.0 | 0.641 |
| Tatoeba-test.isl-ang.isl.ang | 0.0 | 0.037 |
| Tatoeba-test.isl-dan.isl.dan | 67.7 | 0.836 |
| Tatoeba-test.isl-deu.isl.deu | 42.6 | 0.614 |
| Tatoeba-test.isl-eng.isl.eng | 43.5 | 0.610 |
| Tatoeba-test.isl-enm.isl.enm | 12.4 | 0.123 |
| Tatoeba-test.isl-fao.isl.fao | 15.6 | 0.176 |
| Tatoeba-test.isl-gos.isl.gos | 7.1 | 0.257 |
| Tatoeba-test.isl-nor.isl.nor | 53.5 | 0.690 |
| Tatoeba-test.isl-stq.isl.stq | 10.7 | 0.176 |
| Tatoeba-test.isl-swe.isl.swe | 67.7 | 0.818 |
| Tatoeba-test.ksh-deu.ksh.deu | 11.8 | 0.393 |
| Tatoeba-test.ksh-eng.ksh.eng | 4.0 | 0.239 |
| Tatoeba-test.ksh-enm.ksh.enm | 9.5 | 0.085 |
| Tatoeba-test.ltz-afr.ltz.afr | 36.5 | 0.529 |
| Tatoeba-test.ltz-ang.ltz.ang | 0.0 | 0.043 |
| Tatoeba-test.ltz-dan.ltz.dan | 80.6 | 0.722 |
| Tatoeba-test.ltz-deu.ltz.deu | 40.1 | 0.581 |
| Tatoeba-test.ltz-eng.ltz.eng | 36.1 | 0.511 |
| Tatoeba-test.ltz-fry.ltz.fry | 16.5 | 0.524 |
| Tatoeba-test.ltz-gos.ltz.gos | 0.7 | 0.118 |
| Tatoeba-test.ltz-nld.ltz.nld | 40.4 | 0.535 |
| Tatoeba-test.ltz-nor.ltz.nor | 19.1 | 0.582 |
| Tatoeba-test.ltz-stq.ltz.stq | 2.4 | 0.093 |
| Tatoeba-test.ltz-swe.ltz.swe | 25.9 | 0.430 |
| Tatoeba-test.ltz-yid.ltz.yid | 1.5 | 0.160 |
| Tatoeba-test.multi.multi | 42.7 | 0.614 |
| Tatoeba-test.nds-dan.nds.dan | 23.0 | 0.465 |
| Tatoeba-test.nds-deu.nds.deu | 39.8 | 0.610 |
| Tatoeba-test.nds-eng.nds.eng | 32.0 | 0.520 |
| Tatoeba-test.nds-enm.nds.enm | 3.9 | 0.156 |
| Tatoeba-test.nds-frr.nds.frr | 10.7 | 0.127 |
| Tatoeba-test.nds-fry.nds.fry | 10.7 | 0.231 |
| Tatoeba-test.nds-gos.nds.gos | 0.8 | 0.157 |
| Tatoeba-test.nds-nld.nds.nld | 44.1 | 0.634 |
| Tatoeba-test.nds-nor.nds.nor | 47.1 | 0.665 |
| Tatoeba-test.nds-swg.nds.swg | 0.5 | 0.166 |
| Tatoeba-test.nds-yid.nds.yid | 12.7 | 0.337 |
| Tatoeba-test.nld-afr.nld.afr | 58.4 | 0.748 |
| Tatoeba-test.nld-dan.nld.dan | 61.3 | 0.753 |
| Tatoeba-test.nld-deu.nld.deu | 48.2 | 0.670 |
| Tatoeba-test.nld-eng.nld.eng | 52.8 | 0.690 |
| Tatoeba-test.nld-enm.nld.enm | 5.7 | 0.178 |
| Tatoeba-test.nld-frr.nld.frr | 0.9 | 0.159 |
| Tatoeba-test.nld-fry.nld.fry | 23.0 | 0.467 |
| Tatoeba-test.nld-gos.nld.gos | 1.0 | 0.165 |
| Tatoeba-test.nld-ltz.nld.ltz | 14.4 | 0.310 |
| Tatoeba-test.nld-nds.nld.nds | 24.1 | 0.485 |
| Tatoeba-test.nld-nor.nld.nor | 53.6 | 0.705 |
| Tatoeba-test.nld-sco.nld.sco | 15.0 | 0.415 |
| Tatoeba-test.nld-stq.nld.stq | 0.5 | 0.183 |
| Tatoeba-test.nld-swe.nld.swe | 73.6 | 0.842 |
| Tatoeba-test.nld-swg.nld.swg | 4.2 | 0.191 |
| Tatoeba-test.nld-yid.nld.yid | 9.4 | 0.299 |
| Tatoeba-test.non-eng.non.eng | 27.7 | 0.501 |
| Tatoeba-test.nor-afr.nor.afr | 48.2 | 0.687 |
| Tatoeba-test.nor-dan.nor.dan | 69.5 | 0.820 |
| Tatoeba-test.nor-deu.nor.deu | 41.1 | 0.634 |
| Tatoeba-test.nor-eng.nor.eng | 49.4 | 0.660 |
| Tatoeba-test.nor-enm.nor.enm | 6.8 | 0.230 |
| Tatoeba-test.nor-fao.nor.fao | 6.9 | 0.395 |
| Tatoeba-test.nor-fry.nor.fry | 9.2 | 0.323 |
| Tatoeba-test.nor-got.nor.got | 1.5 | 0.000 |
| Tatoeba-test.nor-isl.nor.isl | 34.5 | 0.555 |
| Tatoeba-test.nor-ltz.nor.ltz | 22.1 | 0.447 |
| Tatoeba-test.nor-nds.nor.nds | 34.3 | 0.565 |
| Tatoeba-test.nor-nld.nor.nld | 50.5 | 0.676 |
| Tatoeba-test.nor-nor.nor.nor | 57.6 | 0.764 |
| Tatoeba-test.nor-swe.nor.swe | 68.9 | 0.813 |
| Tatoeba-test.nor-yid.nor.yid | 65.0 | 0.627 |
| Tatoeba-test.pdc-deu.pdc.deu | 43.5 | 0.559 |
| Tatoeba-test.pdc-eng.pdc.eng | 26.1 | 0.471 |
| Tatoeba-test.sco-deu.sco.deu | 7.1 | 0.295 |
| Tatoeba-test.sco-eng.sco.eng | 34.4 | 0.551 |
| Tatoeba-test.sco-nld.sco.nld | 9.9 | 0.438 |
| Tatoeba-test.stq-deu.stq.deu | 8.6 | 0.385 |
| Tatoeba-test.stq-eng.stq.eng | 21.8 | 0.431 |
| Tatoeba-test.stq-frr.stq.frr | 2.1 | 0.111 |
| Tatoeba-test.stq-fry.stq.fry | 7.6 | 0.267 |
| Tatoeba-test.stq-gos.stq.gos | 0.7 | 0.198 |
| Tatoeba-test.stq-isl.stq.isl | 16.0 | 0.121 |
| Tatoeba-test.stq-ltz.stq.ltz | 3.8 | 0.150 |
| Tatoeba-test.stq-nld.stq.nld | 14.6 | 0.375 |
| Tatoeba-test.stq-yid.stq.yid | 2.4 | 0.096 |
| Tatoeba-test.swe-afr.swe.afr | 51.8 | 0.802 |
| Tatoeba-test.swe-dan.swe.dan | 64.9 | 0.784 |
| Tatoeba-test.swe-deu.swe.deu | 47.0 | 0.657 |
| Tatoeba-test.swe-eng.swe.eng | 55.8 | 0.700 |
| Tatoeba-test.swe-fao.swe.fao | 0.0 | 0.060 |
| Tatoeba-test.swe-fry.swe.fry | 14.1 | 0.449 |
| Tatoeba-test.swe-gos.swe.gos | 7.5 | 0.291 |
| Tatoeba-test.swe-isl.swe.isl | 70.7 | 0.812 |
| Tatoeba-test.swe-ltz.swe.ltz | 15.9 | 0.553 |
| Tatoeba-test.swe-nld.swe.nld | 78.7 | 0.854 |
| Tatoeba-test.swe-nor.swe.nor | 67.1 | 0.799 |
| Tatoeba-test.swe-yid.swe.yid | 14.7 | 0.156 |
| Tatoeba-test.swg-dan.swg.dan | 7.7 | 0.341 |
| Tatoeba-test.swg-deu.swg.deu | 8.0 | 0.334 |
| Tatoeba-test.swg-eng.swg.eng | 12.4 | 0.305 |
| Tatoeba-test.swg-nds.swg.nds | 1.1 | 0.209 |
| Tatoeba-test.swg-nld.swg.nld | 4.9 | 0.244 |
| Tatoeba-test.swg-yid.swg.yid | 3.4 | 0.194 |
| Tatoeba-test.yid-afr.yid.afr | 23.6 | 0.552 |
| Tatoeba-test.yid-ang.yid.ang | 0.1 | 0.066 |
| Tatoeba-test.yid-dan.yid.dan | 17.5 | 0.392 |
| Tatoeba-test.yid-deu.yid.deu | 21.0 | 0.423 |
| Tatoeba-test.yid-eng.yid.eng | 17.4 | 0.368 |
| Tatoeba-test.yid-enm.yid.enm | 0.6 | 0.143 |
| Tatoeba-test.yid-fry.yid.fry | 5.3 | 0.169 |
| Tatoeba-test.yid-gos.yid.gos | 1.2 | 0.149 |
| Tatoeba-test.yid-ltz.yid.ltz | 3.5 | 0.256 |
| Tatoeba-test.yid-nds.yid.nds | 14.4 | 0.487 |
| Tatoeba-test.yid-nld.yid.nld | 26.1 | 0.423 |
| Tatoeba-test.yid-nor.yid.nor | 47.1 | 0.583 |
| Tatoeba-test.yid-stq.yid.stq | 1.5 | 0.092 |
| Tatoeba-test.yid-swe.yid.swe | 35.9 | 0.518 |
| Tatoeba-test.yid-swg.yid.swg | 1.0 | 0.124 |
### System Info:
- hf_name: gem-gem
- source_languages: gem
- target_languages: gem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']
- src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt
- src_alpha3: gem
- tgt_alpha3: gem
- short_pair: gem-gem
- chrF2_score: 0.614
- bleu: 42.7
- brevity_penalty: 0.993
- ref_len: 73459.0
- src_name: Germanic languages
- tgt_name: Germanic languages
- train_date: 2020-07-27
- src_alpha2: gem
- tgt_alpha2: gem
- prefer_old: False
- long_pair: gem-gem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Corvus/DialoGPT-medium-CaptainPrice-Extended | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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}
} | 7 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-en
* source languages: gil
* target languages: en
* OPUS readme: [gil-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.en | 36.0 | 0.522 |
|
Corvus/DialoGPT-medium-CaptainPrice | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
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}
} | 7 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-es
* source languages: gil
* target languages: es
* OPUS readme: [gil-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.es | 21.8 | 0.398 |
|
CouchCat/ma_mlc_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"multi-label",
"license:mit"
] | text-classification | {
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"DistilBertForSequenceClassification"
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}
} | 29 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-fi
* source languages: gil
* target languages: fi
* OPUS readme: [gil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fi | 23.1 | 0.447 |
|
CouchCat/ma_ner_v6_distil | [
"pytorch",
"distilbert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
"task_specific_params": {
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}
}
} | 6 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-fr
* source languages: gil
* target languages: fr
* OPUS readme: [gil-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-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/gil-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.fr | 24.9 | 0.424 |
|
CouchCat/ma_ner_v7_distil | [
"pytorch",
"distilbert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
"model_type": "distilbert",
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}
} | 13 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-sv
* source languages: gil
* target languages: sv
* OPUS readme: [gil-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-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/gil-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.gil.sv | 25.8 | 0.441 |
|
CouchCat/ma_sa_v7_distil | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"sentiment-analysis",
"license:mit"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
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}
} | 38 | null | ---
language:
- gl
- en
tags:
- translation
license: apache-2.0
---
### glg-eng
* source group: Galician
* target group: English
* OPUS readme: [glg-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md)
* model: transformer-align
* source language(s): glg
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.eng | 44.4 | 0.628 |
### System Info:
- hf_name: glg-eng
- source_languages: glg
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'en']
- src_constituents: {'glg'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: eng
- short_pair: gl-en
- chrF2_score: 0.628
- bleu: 44.4
- brevity_penalty: 0.975
- ref_len: 8365.0
- src_name: Galician
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: en
- prefer_old: False
- long_pair: glg-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
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} | 0 | null | ---
language:
- gl
- es
tags:
- translation
license: apache-2.0
---
### glg-spa
* source group: Galician
* target group: Spanish
* OPUS readme: [glg-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md)
* model: transformer-align
* source language(s): glg
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.spa | 72.2 | 0.836 |
### System Info:
- hf_name: glg-spa
- source_languages: glg
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'es']
- src_constituents: {'glg'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: spa
- short_pair: gl-es
- chrF2_score: 0.836
- bleu: 72.2
- brevity_penalty: 0.982
- ref_len: 17443.0
- src_name: Galician
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: es
- prefer_old: False
- long_pair: glg-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
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} | 0 | null | ---
language:
- gl
- pt
tags:
- translation
license: apache-2.0
---
### glg-por
* source group: Galician
* target group: Portuguese
* OPUS readme: [glg-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md)
* model: transformer-align
* source language(s): glg
* target language(s): por
* 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/glg-por/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.por | 57.9 | 0.758 |
### System Info:
- hf_name: glg-por
- source_languages: glg
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'pt']
- src_constituents: {'glg'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: por
- short_pair: gl-pt
- chrF2_score: 0.758
- bleu: 57.9
- brevity_penalty: 0.977
- ref_len: 3078.0
- src_name: Galician
- tgt_name: Portuguese
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: pt
- prefer_old: False
- long_pair: glg-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Coyotl/DialoGPT-test-last-arthurmorgan | [
"conversational"
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} | 0 | null | ---
language:
- da
- nb
- sv
- is
- nn
- fo
- gmq
- en
tags:
- translation
license: apache-2.0
---
### gmq-eng
* source group: North Germanic languages
* target group: English
* OPUS readme: [gmq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md)
* model: transformer
* source language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip)
* test set translations: [opus2m-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt)
* test set scores: [opus2m-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.multi.eng | 58.1 | 0.720 |
### System Info:
- hf_name: gmq-eng
- source_languages: gmq
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']
- src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt
- src_alpha3: gmq
- tgt_alpha3: eng
- short_pair: gmq-en
- chrF2_score: 0.72
- bleu: 58.1
- brevity_penalty: 0.982
- ref_len: 72641.0
- src_name: North Germanic languages
- tgt_name: English
- train_date: 2020-07-26
- src_alpha2: gmq
- tgt_alpha2: en
- prefer_old: False
- long_pair: gmq-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
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} | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-he-sv
* source languages: he
* target languages: sv
* OPUS readme: [he-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-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/he-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.he.sv | 28.9 | 0.493 |
|
Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_2 | [] | null | {
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} | 0 | null | ---
language:
- he
- uk
tags:
- translation
license: apache-2.0
---
### heb-ukr
* source group: Hebrew
* target group: Ukrainian
* OPUS readme: [heb-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ukr/README.md)
* model: transformer-align
* source language(s): heb
* 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/heb-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ukr | 35.4 | 0.552 |
### System Info:
- hf_name: heb-ukr
- source_languages: heb
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'uk']
- src_constituents: {'heb'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.test.txt
- src_alpha3: heb
- tgt_alpha3: ukr
- short_pair: he-uk
- chrF2_score: 0.552
- bleu: 35.4
- brevity_penalty: 0.971
- ref_len: 5163.0
- src_name: Hebrew
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: he
- tgt_alpha2: uk
- prefer_old: False
- long_pair: heb-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2 | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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} | 1 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hil-en
* source languages: hil
* target languages: en
* OPUS readme: [hil-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.hil.en | 49.2 | 0.638 |
|
CuongLD/wav2vec2-large-xlsr-vietnamese | [
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"jax",
"wav2vec2",
"automatic-speech-recognition",
"vi",
"dataset:common_voice, infore_25h",
"arxiv:2006.11477",
"arxiv:2006.13979",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | {
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"model_type": "wav2vec2",
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} | 8 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hil-fi
* source languages: hil
* target languages: fi
* OPUS readme: [hil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-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/hil-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.hil.fi | 29.9 | 0.547 |
|
DHBaek/xlm-roberta-large-korquad-mask | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"XLMRobertaForQuestionAnswering"
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} | 9 | "2020-04-29T12:49:38Z" | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-id-es
* source languages: id
* target languages: es
* OPUS readme: [id-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-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/id-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.id.es | 21.8 | 0.483 |
|
alexandrainst/da-ner-base | [
"pytorch",
"tf",
"bert",
"token-classification",
"da",
"dataset:dane",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | {
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}
} | 78 | null | ---
language:
- is
- de
tags:
- translation
license: apache-2.0
---
### isl-deu
* source group: Icelandic
* target group: German
* OPUS readme: [isl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md)
* model: transformer-align
* source language(s): isl
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.isl.deu | 49.2 | 0.661 |
### System Info:
- hf_name: isl-deu
- source_languages: isl
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['is', 'de']
- src_constituents: {'isl'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt
- src_alpha3: isl
- tgt_alpha3: deu
- short_pair: is-de
- chrF2_score: 0.6609999999999999
- bleu: 49.2
- brevity_penalty: 0.998
- ref_len: 6265.0
- src_name: Icelandic
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: is
- tgt_alpha2: de
- prefer_old: False
- long_pair: isl-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
alexandrainst/da-sentiment-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"arxiv:1910.09700",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
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}
} | 1,432 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-is-en
* source languages: is
* target languages: en
* OPUS readme: [is-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.is.en | 51.4 | 0.672 |
|
DarkKibble/DialoGPT-medium-Tankman | [] | null | {
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}
} | 0 | null | ---
language:
- it
- lt
tags:
- translation
license: apache-2.0
---
### ita-lit
* source group: Italian
* target group: Lithuanian
* OPUS readme: [ita-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md)
* model: transformer-align
* source language(s): ita
* target language(s): lit
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.lit | 38.1 | 0.652 |
### System Info:
- hf_name: ita-lit
- source_languages: ita
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'lt']
- src_constituents: {'ita'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: lit
- short_pair: it-lt
- chrF2_score: 0.652
- bleu: 38.1
- brevity_penalty: 0.9590000000000001
- ref_len: 1321.0
- src_name: Italian
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: lt
- prefer_old: False
- long_pair: ita-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Darren/darren | [
"pytorch"
] | null | {
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}
} | 0 | null | ---
language:
- it
- ca
- rm
- es
- ro
- gl
- sc
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- itc
tags:
- translation
license: apache-2.0
---
### itc-itc
* source group: Italic languages
* target group: Italic languages
* OPUS readme: [itc-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md)
* model: transformer
* source language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* target language(s): arg ast bjn cat cos egl fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Grek lat_Latn lij lld_Latn lmo mwl oci pap pcd pms por roh ron scn spa srd vec wln zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-07.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip)
* test set translations: [opus-2020-07-07.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt)
* test set scores: [opus-2020-07-07.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.arg-fra.arg.fra | 40.8 | 0.501 |
| Tatoeba-test.arg-spa.arg.spa | 59.9 | 0.739 |
| Tatoeba-test.ast-fra.ast.fra | 45.4 | 0.628 |
| Tatoeba-test.ast-por.ast.por | 100.0 | 1.000 |
| Tatoeba-test.ast-spa.ast.spa | 46.8 | 0.636 |
| Tatoeba-test.cat-fra.cat.fra | 51.6 | 0.689 |
| Tatoeba-test.cat-ita.cat.ita | 49.2 | 0.699 |
| Tatoeba-test.cat-por.cat.por | 48.0 | 0.688 |
| Tatoeba-test.cat-ron.cat.ron | 35.4 | 0.719 |
| Tatoeba-test.cat-spa.cat.spa | 69.0 | 0.826 |
| Tatoeba-test.cos-fra.cos.fra | 22.3 | 0.383 |
| Tatoeba-test.cos-pms.cos.pms | 3.4 | 0.199 |
| Tatoeba-test.egl-fra.egl.fra | 9.5 | 0.283 |
| Tatoeba-test.egl-ita.egl.ita | 3.0 | 0.206 |
| Tatoeba-test.egl-spa.egl.spa | 3.7 | 0.194 |
| Tatoeba-test.fra-arg.fra.arg | 3.8 | 0.090 |
| Tatoeba-test.fra-ast.fra.ast | 25.9 | 0.457 |
| Tatoeba-test.fra-cat.fra.cat | 42.2 | 0.637 |
| Tatoeba-test.fra-cos.fra.cos | 3.3 | 0.185 |
| Tatoeba-test.fra-egl.fra.egl | 2.2 | 0.120 |
| Tatoeba-test.fra-frm.fra.frm | 1.0 | 0.191 |
| Tatoeba-test.fra-gcf.fra.gcf | 0.2 | 0.099 |
| Tatoeba-test.fra-glg.fra.glg | 40.5 | 0.625 |
| Tatoeba-test.fra-hat.fra.hat | 22.6 | 0.472 |
| Tatoeba-test.fra-ita.fra.ita | 46.7 | 0.679 |
| Tatoeba-test.fra-lad.fra.lad | 15.9 | 0.345 |
| Tatoeba-test.fra-lat.fra.lat | 2.9 | 0.247 |
| Tatoeba-test.fra-lij.fra.lij | 1.0 | 0.201 |
| Tatoeba-test.fra-lld.fra.lld | 1.1 | 0.257 |
| Tatoeba-test.fra-lmo.fra.lmo | 1.2 | 0.241 |
| Tatoeba-test.fra-msa.fra.msa | 0.4 | 0.111 |
| Tatoeba-test.fra-oci.fra.oci | 7.3 | 0.322 |
| Tatoeba-test.fra-pap.fra.pap | 69.8 | 0.912 |
| Tatoeba-test.fra-pcd.fra.pcd | 0.6 | 0.144 |
| Tatoeba-test.fra-pms.fra.pms | 1.0 | 0.181 |
| Tatoeba-test.fra-por.fra.por | 39.7 | 0.619 |
| Tatoeba-test.fra-roh.fra.roh | 5.7 | 0.286 |
| Tatoeba-test.fra-ron.fra.ron | 36.4 | 0.591 |
| Tatoeba-test.fra-scn.fra.scn | 2.1 | 0.101 |
| Tatoeba-test.fra-spa.fra.spa | 47.5 | 0.670 |
| Tatoeba-test.fra-srd.fra.srd | 2.8 | 0.306 |
| Tatoeba-test.fra-vec.fra.vec | 3.0 | 0.345 |
| Tatoeba-test.fra-wln.fra.wln | 3.5 | 0.212 |
| Tatoeba-test.frm-fra.frm.fra | 11.4 | 0.472 |
| Tatoeba-test.gcf-fra.gcf.fra | 7.1 | 0.267 |
| Tatoeba-test.gcf-lad.gcf.lad | 0.0 | 0.170 |
| Tatoeba-test.gcf-por.gcf.por | 0.0 | 0.230 |
| Tatoeba-test.gcf-spa.gcf.spa | 13.4 | 0.314 |
| Tatoeba-test.glg-fra.glg.fra | 54.7 | 0.702 |
| Tatoeba-test.glg-ita.glg.ita | 40.1 | 0.661 |
| Tatoeba-test.glg-por.glg.por | 57.6 | 0.748 |
| Tatoeba-test.glg-spa.glg.spa | 70.0 | 0.817 |
| Tatoeba-test.hat-fra.hat.fra | 14.2 | 0.419 |
| Tatoeba-test.hat-spa.hat.spa | 17.9 | 0.449 |
| Tatoeba-test.ita-cat.ita.cat | 51.0 | 0.693 |
| Tatoeba-test.ita-egl.ita.egl | 1.1 | 0.114 |
| Tatoeba-test.ita-fra.ita.fra | 58.2 | 0.727 |
| Tatoeba-test.ita-glg.ita.glg | 41.7 | 0.652 |
| Tatoeba-test.ita-lad.ita.lad | 17.5 | 0.419 |
| Tatoeba-test.ita-lat.ita.lat | 7.1 | 0.294 |
| Tatoeba-test.ita-lij.ita.lij | 1.0 | 0.208 |
| Tatoeba-test.ita-msa.ita.msa | 0.9 | 0.115 |
| Tatoeba-test.ita-oci.ita.oci | 12.3 | 0.378 |
| Tatoeba-test.ita-pms.ita.pms | 1.6 | 0.182 |
| Tatoeba-test.ita-por.ita.por | 44.8 | 0.665 |
| Tatoeba-test.ita-ron.ita.ron | 43.3 | 0.653 |
| Tatoeba-test.ita-spa.ita.spa | 56.6 | 0.733 |
| Tatoeba-test.ita-vec.ita.vec | 2.0 | 0.187 |
| Tatoeba-test.lad-fra.lad.fra | 30.4 | 0.458 |
| Tatoeba-test.lad-gcf.lad.gcf | 0.0 | 0.163 |
| Tatoeba-test.lad-ita.lad.ita | 12.3 | 0.426 |
| Tatoeba-test.lad-lat.lad.lat | 1.6 | 0.178 |
| Tatoeba-test.lad-por.lad.por | 8.8 | 0.394 |
| Tatoeba-test.lad-ron.lad.ron | 78.3 | 0.717 |
| Tatoeba-test.lad-spa.lad.spa | 28.3 | 0.531 |
| Tatoeba-test.lat-fra.lat.fra | 9.4 | 0.300 |
| Tatoeba-test.lat-ita.lat.ita | 20.0 | 0.421 |
| Tatoeba-test.lat-lad.lat.lad | 3.8 | 0.173 |
| Tatoeba-test.lat-por.lat.por | 13.0 | 0.354 |
| Tatoeba-test.lat-ron.lat.ron | 14.0 | 0.358 |
| Tatoeba-test.lat-spa.lat.spa | 21.8 | 0.436 |
| Tatoeba-test.lij-fra.lij.fra | 13.8 | 0.346 |
| Tatoeba-test.lij-ita.lij.ita | 14.7 | 0.442 |
| Tatoeba-test.lld-fra.lld.fra | 18.8 | 0.428 |
| Tatoeba-test.lld-spa.lld.spa | 11.1 | 0.377 |
| Tatoeba-test.lmo-fra.lmo.fra | 11.0 | 0.329 |
| Tatoeba-test.msa-fra.msa.fra | 0.8 | 0.129 |
| Tatoeba-test.msa-ita.msa.ita | 1.1 | 0.138 |
| Tatoeba-test.msa-msa.msa.msa | 19.1 | 0.453 |
| Tatoeba-test.msa-pap.msa.pap | 0.0 | 0.037 |
| Tatoeba-test.msa-por.msa.por | 2.4 | 0.155 |
| Tatoeba-test.msa-ron.msa.ron | 1.2 | 0.129 |
| Tatoeba-test.msa-spa.msa.spa | 1.0 | 0.139 |
| Tatoeba-test.multi.multi | 40.8 | 0.599 |
| Tatoeba-test.mwl-por.mwl.por | 35.4 | 0.561 |
| Tatoeba-test.oci-fra.oci.fra | 24.5 | 0.467 |
| Tatoeba-test.oci-ita.oci.ita | 23.3 | 0.493 |
| Tatoeba-test.oci-spa.oci.spa | 26.1 | 0.505 |
| Tatoeba-test.pap-fra.pap.fra | 31.0 | 0.629 |
| Tatoeba-test.pap-msa.pap.msa | 0.0 | 0.051 |
| Tatoeba-test.pcd-fra.pcd.fra | 13.8 | 0.381 |
| Tatoeba-test.pcd-spa.pcd.spa | 2.6 | 0.227 |
| Tatoeba-test.pms-cos.pms.cos | 3.4 | 0.217 |
| Tatoeba-test.pms-fra.pms.fra | 13.4 | 0.347 |
| Tatoeba-test.pms-ita.pms.ita | 13.0 | 0.373 |
| Tatoeba-test.pms-spa.pms.spa | 13.1 | 0.374 |
| Tatoeba-test.por-ast.por.ast | 100.0 | 1.000 |
| Tatoeba-test.por-cat.por.cat | 45.1 | 0.673 |
| Tatoeba-test.por-fra.por.fra | 52.5 | 0.698 |
| Tatoeba-test.por-gcf.por.gcf | 16.0 | 0.128 |
| Tatoeba-test.por-glg.por.glg | 57.5 | 0.750 |
| Tatoeba-test.por-ita.por.ita | 50.1 | 0.710 |
| Tatoeba-test.por-lad.por.lad | 15.7 | 0.341 |
| Tatoeba-test.por-lat.por.lat | 11.1 | 0.362 |
| Tatoeba-test.por-msa.por.msa | 2.4 | 0.136 |
| Tatoeba-test.por-mwl.por.mwl | 30.5 | 0.559 |
| Tatoeba-test.por-roh.por.roh | 0.0 | 0.132 |
| Tatoeba-test.por-ron.por.ron | 40.0 | 0.632 |
| Tatoeba-test.por-spa.por.spa | 58.6 | 0.756 |
| Tatoeba-test.roh-fra.roh.fra | 23.1 | 0.564 |
| Tatoeba-test.roh-por.roh.por | 21.4 | 0.347 |
| Tatoeba-test.roh-spa.roh.spa | 19.8 | 0.489 |
| Tatoeba-test.ron-cat.ron.cat | 59.5 | 0.854 |
| Tatoeba-test.ron-fra.ron.fra | 47.4 | 0.647 |
| Tatoeba-test.ron-ita.ron.ita | 45.7 | 0.683 |
| Tatoeba-test.ron-lad.ron.lad | 44.2 | 0.712 |
| Tatoeba-test.ron-lat.ron.lat | 14.8 | 0.449 |
| Tatoeba-test.ron-msa.ron.msa | 1.2 | 0.098 |
| Tatoeba-test.ron-por.ron.por | 42.7 | 0.650 |
| Tatoeba-test.ron-spa.ron.spa | 50.4 | 0.686 |
| Tatoeba-test.scn-fra.scn.fra | 2.4 | 0.180 |
| Tatoeba-test.scn-spa.scn.spa | 5.1 | 0.212 |
| Tatoeba-test.spa-arg.spa.arg | 10.8 | 0.267 |
| Tatoeba-test.spa-ast.spa.ast | 24.6 | 0.514 |
| Tatoeba-test.spa-cat.spa.cat | 61.6 | 0.783 |
| Tatoeba-test.spa-egl.spa.egl | 2.2 | 0.106 |
| Tatoeba-test.spa-fra.spa.fra | 51.1 | 0.683 |
| Tatoeba-test.spa-gcf.spa.gcf | 7.8 | 0.067 |
| Tatoeba-test.spa-glg.spa.glg | 62.8 | 0.776 |
| Tatoeba-test.spa-hat.spa.hat | 16.6 | 0.398 |
| Tatoeba-test.spa-ita.spa.ita | 51.8 | 0.718 |
| Tatoeba-test.spa-lad.spa.lad | 14.6 | 0.393 |
| Tatoeba-test.spa-lat.spa.lat | 21.5 | 0.486 |
| Tatoeba-test.spa-lld.spa.lld | 2.0 | 0.222 |
| Tatoeba-test.spa-msa.spa.msa | 0.8 | 0.113 |
| Tatoeba-test.spa-oci.spa.oci | 10.3 | 0.377 |
| Tatoeba-test.spa-pcd.spa.pcd | 0.9 | 0.115 |
| Tatoeba-test.spa-pms.spa.pms | 1.5 | 0.194 |
| Tatoeba-test.spa-por.spa.por | 49.4 | 0.698 |
| Tatoeba-test.spa-roh.spa.roh | 4.6 | 0.261 |
| Tatoeba-test.spa-ron.spa.ron | 39.1 | 0.618 |
| Tatoeba-test.spa-scn.spa.scn | 2.0 | 0.113 |
| Tatoeba-test.spa-wln.spa.wln | 8.7 | 0.295 |
| Tatoeba-test.srd-fra.srd.fra | 6.7 | 0.369 |
| Tatoeba-test.vec-fra.vec.fra | 59.9 | 0.608 |
| Tatoeba-test.vec-ita.vec.ita | 14.2 | 0.405 |
| Tatoeba-test.wln-fra.wln.fra | 8.9 | 0.344 |
| Tatoeba-test.wln-spa.wln.spa | 9.6 | 0.298 |
### System Info:
- hf_name: itc-itc
- source_languages: itc
- target_languages: itc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-itc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
- src_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/itc-itc/opus-2020-07-07.test.txt
- src_alpha3: itc
- tgt_alpha3: itc
- short_pair: itc-itc
- chrF2_score: 0.599
- bleu: 40.8
- brevity_penalty: 0.968
- ref_len: 77448.0
- src_name: Italic languages
- tgt_name: Italic languages
- train_date: 2020-07-07
- src_alpha2: itc
- tgt_alpha2: itc
- prefer_old: False
- long_pair: itc-itc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
DataikuNLP/distiluse-base-multilingual-cased-v1 | [
"pytorch",
"distilbert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
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"DistilBertModel"
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}
} | 29 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ja-fi
* source languages: ja
* target languages: fi
* OPUS readme: [ja-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fi | 21.2 | 0.448 |
|
DataikuNLP/paraphrase-MiniLM-L6-v2 | [
"pytorch",
"bert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
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}
}
} | 25 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ja-fr
* source languages: ja
* target languages: fr
* OPUS readme: [ja-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-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/ja-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fr | 33.6 | 0.534 |
|
DataikuNLP/paraphrase-albert-small-v2 | [
"pytorch",
"albert",
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | {
"architectures": [
"AlbertModel"
],
"model_type": "albert",
"task_specific_params": {
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}
} | 628 | null | ---
language:
- ja
- he
tags:
- translation
license: apache-2.0
---
### jpn-heb
* source group: Japanese
* target group: Hebrew
* OPUS readme: [jpn-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jpn_Kana
* 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/jpn-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.heb | 20.2 | 0.397 |
### System Info:
- hf_name: jpn-heb
- source_languages: jpn
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'he']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-heb/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: heb
- short_pair: ja-he
- chrF2_score: 0.397
- bleu: 20.2
- brevity_penalty: 1.0
- ref_len: 1598.0
- src_name: Japanese
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: he
- prefer_old: False
- long_pair: jpn-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
DavidSpaceG/MSGIFSR | [] | null | {
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}
}
} | 0 | null | ---
language:
- ja
- pl
tags:
- translation
license: apache-2.0
---
### jpn-pol
* source group: Japanese
* target group: Polish
* OPUS readme: [jpn-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* 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/jpn-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.pol | 15.7 | 0.386 |
### System Info:
- hf_name: jpn-pol
- source_languages: jpn
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pl']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: pol
- short_pair: ja-pl
- chrF2_score: 0.386
- bleu: 15.7
- brevity_penalty: 1.0
- ref_len: 69904.0
- src_name: Japanese
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pl
- prefer_old: False
- long_pair: jpn-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Davlan/bert-base-multilingual-cased-finetuned-amharic | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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}
}
} | 109 | null | ---
language:
- ja
- pt
tags:
- translation
license: apache-2.0
---
### jpn-por
* source group: Japanese
* target group: Portuguese
* OPUS readme: [jpn-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): por por_Hira
* 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-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.por | 22.2 | 0.444 |
### System Info:
- hf_name: jpn-por
- source_languages: jpn
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pt']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-por/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: por
- short_pair: ja-pt
- chrF2_score: 0.444
- bleu: 22.2
- brevity_penalty: 0.922
- ref_len: 15570.0
- src_name: Japanese
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pt
- prefer_old: False
- long_pair: jpn-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Davlan/bert-base-multilingual-cased-finetuned-hausa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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}
} | 151 | null | ---
language:
- ja
- ru
tags:
- translation
license: apache-2.0
---
### jpn-rus
* source group: Japanese
* target group: Russian
* OPUS readme: [jpn-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.rus | 23.2 | 0.441 |
### System Info:
- hf_name: jpn-rus
- source_languages: jpn
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ru']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: rus
- short_pair: ja-ru
- chrF2_score: 0.441
- bleu: 23.2
- brevity_penalty: 0.9740000000000001
- ref_len: 70820.0
- src_name: Japanese
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ru
- prefer_old: False
- long_pair: jpn-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Davlan/bert-base-multilingual-cased-finetuned-igbo | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
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} | 15 | null | ---
language:
- ja
- sh
tags:
- translation
license: apache-2.0
---
### jpn-hbs
* source group: Japanese
* target group: Serbo-Croatian
* OPUS readme: [jpn-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hani jpn_Hira jpn_Kana jpn_Latn
* target language(s): bos_Latn hrv srp_Cyrl srp_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-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hbs | 22.6 | 0.447 |
### System Info:
- hf_name: jpn-hbs
- source_languages: jpn
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'sh']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hbs/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: hbs
- short_pair: ja-sh
- chrF2_score: 0.447
- bleu: 22.6
- brevity_penalty: 0.9620000000000001
- ref_len: 2525.0
- src_name: Japanese
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: sh
- prefer_old: False
- long_pair: jpn-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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} | 27 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ja-sv
* source languages: ja
* target languages: sv
* OPUS readme: [ja-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-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/ja-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-sv/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.sv | 26.1 | 0.445 |
|
Davlan/bert-base-multilingual-cased-finetuned-luganda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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}
} | 16 | null | ---
language:
- ja
- tr
tags:
- translation
license: apache-2.0
---
### jpn-tur
* source group: Japanese
* target group: Turkish
* OPUS readme: [jpn-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Yiii
* 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/jpn-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.tur | 16.7 | 0.434 |
### System Info:
- hf_name: jpn-tur
- source_languages: jpn
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'tr']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-tur/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: tur
- short_pair: ja-tr
- chrF2_score: 0.434
- bleu: 16.7
- brevity_penalty: 0.932
- ref_len: 4755.0
- src_name: Japanese
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: tr
- prefer_old: False
- long_pair: jpn-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Davlan/bert-base-multilingual-cased-finetuned-swahili | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
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}
} | 67 | null | ---
language:
- ka
- en
tags:
- translation
license: apache-2.0
---
### kat-eng
* source group: Georgian
* target group: English
* OPUS readme: [kat-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md)
* model: transformer-align
* source language(s): kat
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.eng | 37.9 | 0.538 |
### System Info:
- hf_name: kat-eng
- source_languages: kat
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'en']
- src_constituents: {'kat'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt
- src_alpha3: kat
- tgt_alpha3: eng
- short_pair: ka-en
- chrF2_score: 0.5379999999999999
- bleu: 37.9
- brevity_penalty: 0.991
- ref_len: 5992.0
- src_name: Georgian
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: ka
- tgt_alpha2: en
- prefer_old: False
- long_pair: kat-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |