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davanstrien
/
card_with_first_commit_embedded

Dataset card Data Studio Files
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81
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embedding
list
Chae/botman
[ "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 } } }
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 |
[ -0.0177826676517725, -0.03549012169241905, 0.0009774575009942055, 0.034653302282094955, 0.026247041299939156, 0.025878459215164185, 0.0015470385551452637, -0.0070232367143034935, -0.05025888606905937, 0.051156967878341675, 0.016350023448467255, -0.010570301674306393, 0.009977508336305618, ...
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 |
[ -0.01653158850967884, -0.03836992383003235, 0.002316202037036419, 0.032710932195186615, 0.026782378554344177, 0.02354086935520172, -0.0004464483936317265, -0.0021149334497749805, -0.054683174937963486, 0.053593579679727554, 0.01713617518544197, -0.013853255659341812, 0.007991892285645008, ...
Chakita/Kalbert
[ "pytorch", "tensorboard", "albert", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.012164267711341381, -0.03995143994688988, 0.009211277589201927, 0.02858707122504711, 0.025421997532248497, 0.022927051410079002, 0.00045154482359066606, -0.0051170168444514275, -0.05350995436310768, 0.04839148744940758, 0.014091678895056248, -0.00961942970752716, 0.015284202992916107, 0...
Chandanbhat/distilbert-base-uncased-finetuned-cola
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.011556221172213554, -0.037091001868247986, 0.006785748992115259, 0.030424078926444054, 0.023608172312378883, 0.024578405544161797, 0.00269207707606256, -0.007954152300953865, -0.053745005279779434, 0.04576580598950386, 0.020959505811333656, -0.007047218270599842, 0.014224964193999767, 0...
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 |
[ -0.014055666513741016, -0.036043938249349594, 0.00674674566835165, 0.03728468343615532, 0.027126483619213104, 0.029878780245780945, -0.00037256471114233136, -0.007454196456819773, -0.05518535524606705, 0.04835280776023865, 0.012467416003346443, -0.016108430922031403, 0.004908394534140825, ...
ChaseBread/DialoGPT-small-harrypotter
[ "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 } } }
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 |
[ -0.016161784529685974, -0.03484233841300011, 0.005018757190555334, 0.03611409291625023, 0.023880640044808388, 0.024311287328600883, 0.004200614057481289, -0.005103104282170534, -0.04913344606757164, 0.048602260649204254, 0.014021842740476131, -0.013825863599777222, 0.008872739039361477, 0....
Cheapestmedsshop/Buymodafinilus
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015523169189691544, -0.033138077706098557, 0.0039309426210820675, 0.03647685423493385, 0.023755988106131554, 0.029928989708423615, 0.006132693029940128, -0.006580035667866468, -0.05558006465435028, 0.04335348680615425, 0.014177690260112286, -0.01464532408863306, 0.012152486480772495, 0....
Cheatham/xlm-roberta-large-finetuned-d1
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.016307808458805084, -0.03105221502482891, 0.0070790136232972145, 0.033237654715776443, 0.02227269485592842, 0.02927183173596859, 0.002657139440998435, -0.006914481054991484, -0.048542797565460205, 0.04677276313304901, 0.01248130388557911, -0.012916035950183868, 0.01032465323805809, 0.04...
Cheatham/xlm-roberta-large-finetuned
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.021690627560019493, -0.03320106491446495, 0.004198735114187002, 0.033874139189720154, 0.02523737959563732, 0.029014265164732933, 0.0042707775719463825, -0.0073157064616680145, -0.04488913342356682, 0.04720187559723854, 0.009835274890065193, -0.01481430884450674, 0.010823622345924377, 0....
Cheatham/xlm-roberta-large-finetuned4
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015020249411463737, -0.03872925415635109, 0.0006908107316121459, 0.038993507623672485, 0.038756947964429855, 0.025126900523900986, -0.0093956608325243, -0.007406795397400856, -0.05537567660212517, 0.054166216403245926, 0.012784457765519619, -0.01481772679835558, 0.00010777668649097905, ...
CheonggyeMountain-Sherpa/kogpt-trinity-poem
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.007851370610296726, -0.03495435789227486, -0.0007032566354610026, 0.04646714776754379, 0.047976303845644, 0.029031068086624146, -0.007144029252231121, -0.01754056289792061, -0.07099185138940811, 0.039615388959646225, 0.0040417625568807125, -0.016820313408970833, -0.015814252197742462, 0...
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 |
[ -0.014347692020237446, -0.033116817474365234, -0.007494944613426924, 0.03526102006435394, 0.025790071114897728, 0.022628767415881157, -0.004997731652110815, -0.01355541031807661, -0.04674886539578438, 0.04498288035392761, 0.012795588001608849, -0.01455162838101387, -0.008455844596028328, 0...
Chikita1/www_stash_stock
[ "license:bsd-3-clause-clear" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.0014910405734553933, -0.030887912958860397, -0.01610804721713066, 0.049860406666994095, 0.04842144250869751, 0.016531988978385925, -0.008209683932363987, -0.008141768164932728, -0.06225315481424332, 0.05577710643410683, 0.005273828282952309, -0.021451029926538467, -0.02303658053278923, ...
Ching/negation_detector
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015668027102947235, -0.027186688035726547, -0.010007772594690323, 0.03952067345380783, 0.022945141419768333, 0.022979727014899254, -0.0021560071036219597, -0.0034590349532663822, -0.045139387249946594, 0.05150087922811508, 0.010753873735666275, -0.014519964344799519, -0.003614634973928332...
Chiuchiyin/DialoGPT-small-Donald
[ "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
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 |
[ -0.011812945827841759, -0.033929113298654556, -0.00891134049743414, 0.035153646022081375, 0.029723957180976868, 0.02560999244451523, -0.006635517347604036, -0.009511888027191162, -0.049670733511447906, 0.052123911678791046, 0.01492912694811821, -0.013638170436024666, -0.00897932332009077, ...
ChoboAvenger/DialoGPT-small-DocBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.016785290092229843, -0.029676081612706184, -0.007643337827175856, 0.03685846924781799, 0.022270862013101578, 0.023771051317453384, -0.0028822794556617737, -0.006185838952660561, -0.044819071888923645, 0.05082685127854347, 0.010397464968264103, -0.014270980842411518, -0.0027101924642920494...
ChoboAvenger/DialoGPT-small-joshua
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.013582052662968636, -0.03339194133877754, -0.01129298284649849, 0.0373113714158535, 0.024461030960083008, 0.02361340820789337, -0.0054465606808662415, -0.004779263399541378, -0.04640210419893265, 0.05298776552081108, 0.013721196912229061, -0.012083454988896847, -0.0020487867295742035, 0...
ChrisP/xlm-roberta-base-finetuned-marc-en
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.0032197716645896435, -0.03253696486353874, -0.010469143278896809, 0.0361911915242672, 0.043853044509887695, 0.017007023096084595, -0.014464420266449451, -0.0007180374232120812, -0.06798817217350006, 0.05387992039322853, 0.006156029645353556, -0.02098769322037697, -0.01373839471489191, 0...
ChrisVCB/DialoGPT-medium-cmjs
[ "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
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 |
[ -0.012553917244076729, -0.029942069202661514, -0.011794939637184143, 0.03510299697518349, 0.028483251109719276, 0.023466985672712326, -0.008503115735948086, -0.00578106427565217, -0.050100285559892654, 0.05569196119904518, 0.010040239430963993, -0.010902117006480694, -0.0035521613899618387, ...
ChrisVCB/DialoGPT-medium-ej
[ "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 } } }
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 |
[ -0.012387663125991821, -0.03240904211997986, -0.011037618853151798, 0.035414740443229675, 0.027508094906806946, 0.020273331552743912, -0.007188649382442236, -0.006429406348615885, -0.04561827331781387, 0.053946349769830704, 0.013102955184876919, -0.012011300772428513, -0.004072252195328474, ...
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, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01140041183680296, -0.031085718423128128, -0.019923092797398567, 0.04369870200753212, 0.033465344458818436, 0.019934454932808876, -0.003607124090194702, -0.010803359560668468, -0.05846070870757103, 0.06546032428741455, 0.011202153749763966, -0.014856389723718166, -0.0015862621366977692, ...
ChristopherA08/IndoELECTRA
[ "pytorch", "electra", "pretraining", "id", "dataset:oscar", "transformers" ]
null
{ "architectures": [ "ElectraForPreTraining" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014737283810973167, -0.03014787659049034, -0.006812724284827709, 0.03477325662970543, 0.02687489055097103, 0.023223483934998512, -0.004775708541274071, -0.005964669864624739, -0.047417186200618744, 0.05415729805827141, 0.012809843756258488, -0.013321124948561192, -0.0011095482623204589, ...
Chuah/DialoGPT-small-harrypotter
[ "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 } } }
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 |
[ -0.013159465044736862, -0.028231512755155563, -0.003992276731878519, 0.028607230633497238, 0.03035883791744709, 0.025882570073008537, -0.0014659978915005922, -0.00927175022661686, -0.051713503897190094, 0.05087003856897354, 0.015655258670449257, -0.012096765451133251, -0.0010724173625931144,...
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": { "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 } } }
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 |
[ -0.01531922072172165, -0.03233320266008377, -0.004465010948479176, 0.03314036503434181, 0.030085962265729904, 0.02361755259335041, -0.007969513535499573, -0.004971550777554512, -0.043610427528619766, 0.05138104408979416, 0.006222470663487911, -0.012219647876918316, -0.007011855486780405, 0...
Chun/DialoGPT-large-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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 } } }
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 |
[ -0.01217317022383213, -0.029958954080939293, -0.020741451531648636, 0.039299946278333664, 0.0310744047164917, 0.02110043168067932, -0.0036430442705750465, -0.010182644240558147, -0.05257464945316315, 0.06225619465112686, 0.010473795235157013, -0.013695181347429752, -0.0005088504985906184, ...
Chun/DialoGPT-small-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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 } } }
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 |
[ -0.011379661969840527, -0.03348306939005852, -0.015505053102970123, 0.03756285086274147, 0.03250361979007721, 0.020117582753300667, -0.006138524506241083, -0.010214218869805336, -0.05491122230887413, 0.06126398220658302, 0.009544672444462776, -0.012840545736253262, -0.0018003468867391348, ...
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 }, "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 } } }
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 |
[ -0.014162612147629261, -0.032643649727106094, -0.008212912827730179, 0.037204448133707047, 0.02598515897989273, 0.0218899454921484, -0.00462414650246501, -0.0100039541721344, -0.048243727535009384, 0.05109555274248123, 0.013356063514947891, -0.01344852801412344, -0.006835251115262508, 0.04...
Chun/w-en2zh-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "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
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 |
[ -0.016029084101319313, -0.033297330141067505, -0.010171436704695225, 0.03739470988512039, 0.03168197721242905, 0.02296406589448452, -0.002127044601365924, -0.001871862797997892, -0.04773911461234093, 0.054878704249858856, 0.010050435550510883, -0.009374191053211689, -0.004711446352303028, ...
Chun/w-en2zh-otm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "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
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 |
[ -0.013913377188146114, -0.03211382031440735, -0.010835165157914162, 0.03618481755256653, 0.0283425934612751, 0.023424694314599037, -0.005874462425708771, -0.007881226018071175, -0.04647376388311386, 0.05308962240815163, 0.014852778054773808, -0.012986338697373867, -0.0032498498912900686, 0...
Chun/w-zh2en-hsk
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014186535030603409, -0.031173955649137497, -0.01252107322216034, 0.03598380088806152, 0.027893785387277603, 0.02380487136542797, -0.005268394947052002, -0.006395863369107246, -0.04721994698047638, 0.054278161376714706, 0.013184724375605583, -0.01204910408705473, -0.0023525350261479616, ...
Chun/w-zh2en-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01354995183646679, -0.032922498881816864, -0.011340789496898651, 0.037334978580474854, 0.025184663012623787, 0.022841697558760643, -0.006696437951177359, -0.00788290984928608, -0.04775223508477211, 0.052108410745859146, 0.011542921885848045, -0.011659471318125725, 0.0007684109732508659, ...
Chun/w-zh2en-mto
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "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
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
[ -0.00380909675732255, -0.033691082149744034, -0.019601404666900635, 0.02924284338951111, 0.037678614258766174, 0.018901441246271133, -0.009219837374985218, -0.005276649724692106, -0.06997573375701904, 0.05631051957607269, -0.0009327965672127903, -0.014561214484274387, -0.011053240858018398, ...
Chungu424/DATA
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014012976549565792, -0.030418917536735535, -0.01314809825271368, 0.03493657335639, 0.023529628291726112, 0.024660341441631317, -0.004488988779485226, -0.00961031299084425, -0.0464327409863472, 0.05298202112317085, 0.014119443483650684, -0.014200218953192234, -0.0010202645789831877, 0.04...
Chungu424/qazwsx
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014837596565485, -0.03203528746962547, -0.010100360959768295, 0.03642934933304787, 0.02587064728140831, 0.021969664841890335, -0.006857179570943117, -0.006245430093258619, -0.0478806346654892, 0.0527300126850605, 0.014309754595160484, -0.011112828738987446, -0.001503471052274108, 0.0455...
Chungu424/repo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014456648379564285, -0.030449792742729187, -0.010726802982389927, 0.03657766431570053, 0.025365212932229042, 0.022256607189774513, -0.0046914806589484215, -0.008110258728265762, -0.04660715535283089, 0.05457693710923195, 0.010584780015051365, -0.012381346896290779, -0.0034681798424571753,...
Chungu424/repodata
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014941908419132233, -0.030702907592058182, -0.011439671739935875, 0.03694157674908638, 0.025406088680028915, 0.02310803160071373, -0.005928488448262215, -0.0065914178267121315, -0.045049119740724564, 0.054102953523397446, 0.012069899588823318, -0.011719776317477226, -0.0017810420831665397...
Chuu/Chumar
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014863841235637665, -0.03129848092794418, -0.006145569495856762, 0.035296667367219925, 0.029828285798430443, 0.02232520841062069, -0.00848442129790783, -0.0063120294362306595, -0.047961052507162094, 0.05167432501912117, 0.010515143163502216, -0.00916853453963995, -0.003764718770980835, ...
Ci/Pai
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.0143002700060606, -0.031251437962055206, -0.00698547437787056, 0.03211061656475067, 0.02897869236767292, 0.023071125149726868, -0.00820318702608347, -0.005636308342218399, -0.04439427703619003, 0.05290323868393898, 0.009190867654979229, -0.010270409286022186, -0.004993066657334566, 0.04...
Cilan/dalle-knockoff
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.010664179921150208, -0.0333654023706913, -0.01237969659268856, 0.03387371823191643, 0.02803303673863411, 0.020538434386253357, -0.00685328571125865, -0.006609732285141945, -0.04620501026511192, 0.0538564957678318, 0.015208329074084759, -0.013802328146994114, -0.0036001463886350393, 0.04...
Cinnamon/electra-small-japanese-generator
[ "pytorch", "electra", "fill-mask", "ja", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "ElectraForMaskedLM" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.012844298966228962, -0.0322485975921154, -0.009912347421050072, 0.033185966312885284, 0.027878224849700928, 0.01943375915288925, -0.003997711464762688, -0.0036464249715209007, -0.04430970922112465, 0.052537448704242706, 0.013661541044712067, -0.007840539328753948, -0.0006802612915635109, ...
Ciruzzo/DialoGPT-medium-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.017967887222766876, -0.030204789713025093, -0.006943272892385721, 0.03237597644329071, 0.02494451403617859, 0.019307918846607208, -0.003960524685680866, -0.00022723253641743213, -0.04658710956573486, 0.060222454369068146, 0.008931342512369156, -0.011454376392066479, 0.00032144327997229993...
Clint/clinton
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.013296357356011868, -0.03145475685596466, -0.01025489903986454, 0.03484153747558594, 0.025777798146009445, 0.023325465619564056, -0.003557889023795724, -0.006906868889927864, -0.04527391120791435, 0.05443119257688522, 0.014219879172742367, -0.013506901450455189, -0.0010865138610824943, ...
Cloudy/DialoGPT-CJ-large
[ "pytorch", "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.006141233257949352, -0.03685399517416954, -0.01170159038156271, 0.04072515293955803, 0.05071127414703369, 0.020861921831965446, -0.014590982347726822, -0.00232028029859066, -0.05361061543226242, 0.059095606207847595, 0.014952417463064194, -0.02568305842578411, -0.010994790121912956, 0.0...
ClydeWasTaken/DialoGPT-small-joshua
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014456415548920631, -0.030573733150959015, -0.010546579025685787, 0.036134883761405945, 0.026963533833622932, 0.02256106771528721, -0.005067522171884775, -0.007045659702271223, -0.046985555440187454, 0.05501857027411461, 0.011828598566353321, -0.012742973864078522, -0.0020604850724339485,...
CoShin/XLM-roberta-large_ko_en_nil_sts
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01646835170686245, -0.03157753497362137, -0.007651957217603922, 0.035407718271017075, 0.026998573914170265, 0.02063690312206745, -0.006158814765512943, -0.008710154332220554, -0.04937195032835007, 0.05272342637181282, 0.010763468220829964, -0.009768933057785034, -0.0024733892641961575, ...
CoachCarter/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.0030008640605956316, -0.027836283668875694, -0.009066671133041382, 0.040101610124111176, 0.048656776547431946, 0.012465656735002995, -0.015260609798133373, -0.007887538522481918, -0.0703236311674118, 0.0566755011677742, 0.008350031450390816, -0.0227664764970541, -0.020499631762504578, 0...
CoachCarter/distilbert-base-uncased
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015057642944157124, -0.033602967858314514, -0.009194823913276196, 0.034462105482816696, 0.026129037141799927, 0.020115818828344345, -0.004260174464434385, -0.004713280126452446, -0.04593542590737343, 0.054081205278635025, 0.010028690099716187, -0.0108101274818182, -0.0017907003639265895, ...
CodeDanCode/CartmenBot
[ "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 } } }
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 |
[ -0.013916621915996075, -0.03001755103468895, -0.01030447892844677, 0.03030695579946041, 0.02422643080353737, 0.02357279136776924, 0.0002630462113302201, -0.007991785183548927, -0.047396622598171234, 0.05478290840983391, 0.010094961151480675, -0.010642818175256252, 0.0020576261449605227, 0....
CodeDanCode/SP-KyleBot
[ "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 } } }
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 |
[ -0.011727508157491684, -0.030497916042804718, -0.010426422581076622, 0.038331933319568634, 0.025276917964220047, 0.025423161685466766, -0.0012865387834608555, -0.004179633688181639, -0.04354347288608551, 0.05723091587424278, 0.01587524637579918, -0.01073288731276989, 0.001108248601667583, ...
CodeMonkey98/distilroberta-base-finetuned-wikitext2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.007964028045535088, -0.035668738186359406, -0.00653061643242836, 0.03859435021877289, 0.026555754244327545, 0.021969517692923546, -0.001277000643312931, -0.0002753581793513149, -0.04730001464486122, 0.05536739155650139, 0.015178126282989979, -0.014762558974325657, -0.0016164622502401471, ...
CodeNinja1126/bert-p-encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.012729361653327942, -0.03149787709116936, -0.008702188730239868, 0.03715001791715622, 0.02601783722639084, 0.018970590084791183, 0.0026260174345225096, -0.004865061957389116, -0.04708995297551155, 0.052781008183956146, 0.009335978887975216, -0.01262933574616909, -0.004107378423213959, 0...
CodeNinja1126/bert-q-encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01515850517898798, -0.03275882452726364, -0.007017428055405617, 0.0350131094455719, 0.03187306970357895, 0.023211181163787842, -0.0033705320674926043, -0.00525338901206851, -0.05004824325442314, 0.05139497295022011, 0.010355126112699509, -0.012771651148796082, -0.009484846144914627, 0.0...
CodeNinja1126/koelectra-model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.018647516146302223, -0.03194407373666763, -0.004046760033816099, 0.04162727668881416, 0.01952936314046383, 0.011142551898956299, 0.0016605021664872766, -0.011620975099503994, -0.05092596635222435, 0.04833965376019478, 0.015148529782891273, -0.012199361808598042, -0.005801581311970949, 0...
CodeNinja1126/test-model
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.013570614159107208, -0.030023179948329926, -0.011482826434075832, 0.03550683706998825, 0.025790464133024216, 0.022825270891189575, -0.005691461730748415, -0.009500214830040932, -0.04764337092638016, 0.05361626297235489, 0.012446407228708267, -0.012341873720288277, -0.0034583131782710552, ...
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": { "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 } } }
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 |
[ -0.014371734112501144, -0.032545167952775955, -0.003822804195806384, 0.033964529633522034, 0.03311348706483841, 0.02200467698276043, -0.005062509328126907, -0.00530614797025919, -0.04973754286766052, 0.05150671303272247, 0.011569471098482609, -0.016194676980376244, -0.006819921545684338, 0...
CoderBoy432/DialoGPT-small-harrypotter
[ "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 } } }
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 |
[ -0.014896083623170853, -0.03352026268839836, -0.005170978605747223, 0.036677032709121704, 0.0347299762070179, 0.02434021234512329, -0.00565689243376255, -0.0060167438350617886, -0.05258258432149887, 0.05235014483332634, 0.012293282896280289, -0.012572985142469406, -0.006214735098183155, 0....
CoderEFE/DialoGPT-marxbot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational", "has_space" ]
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 } } }
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 |
[ -0.015312224626541138, -0.03221319988369942, -0.009459119290113449, 0.035479702055454254, 0.025284219533205032, 0.02255985699594021, -0.005467487499117851, -0.007981293834745884, -0.04710383340716362, 0.053933676332235336, 0.011618485674262047, -0.012084949761629105, -0.0011953647481277585, ...
CoderEFE/DialoGPT-medium-marx
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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
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 |
[ -0.013983887620270252, -0.03069419227540493, -0.010499503463506699, 0.03691689297556877, 0.02567208558320999, 0.02346491813659668, -0.0035997352097183466, -0.007329062558710575, -0.04555373638868332, 0.05402301996946335, 0.012787781655788422, -0.013409357517957687, -0.0036957189440727234, ...
Venkatakrishnan-Ramesh/Text_gen
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.012804761528968811, -0.031101446598768234, -0.01055778656154871, 0.03562102094292641, 0.029027048498392105, 0.022594697773456573, -0.004879165440797806, -0.005974906962364912, -0.04786693677306175, 0.055013902485370636, 0.013622852973639965, -0.011796562932431698, -0.001403812668286264, ...
CoffeeAddict93/gpt2-call-of-the-wild
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "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": true, "max_length": 50 }, "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 } } }
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 |
[ -0.016573047265410423, -0.03031962737441063, -0.010108785703778267, 0.03633616119623184, 0.027362266555428505, 0.021537579596042633, -0.004347785376012325, -0.006635567173361778, -0.047979686409235, 0.05434022843837738, 0.013220416381955147, -0.010858268477022648, -0.001708687748759985, 0....
CoffeeAddict93/gpt2-medium-call-of-the-wild
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "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": true, "max_length": 50 }, "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 } } }
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 |
[ -0.015473403036594391, -0.031213313341140747, -0.010385057888925076, 0.03727841377258301, 0.02582072652876377, 0.023185843601822853, -0.0064619979821145535, -0.006339771207422018, -0.04838830232620239, 0.05251498520374298, 0.011293324641883373, -0.00951563660055399, -0.003151432378217578, ...
CoffeeAddict93/gpt2-medium-modest-proposal
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "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": true, "max_length": 50 }, "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
--- 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 |
[ -0.01627560704946518, -0.031553804874420166, -0.01229618489742279, 0.037578433752059937, 0.02601379156112671, 0.022698819637298584, -0.004637996666133404, -0.007403321098536253, -0.04627714306116104, 0.05339684709906578, 0.01108919084072113, -0.011898281052708626, -0.0028074176516383886, 0...
Contrastive-Tension/BERT-Distil-NLI-CT
[ "pytorch", "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.011871119029819965, -0.034159645438194275, 0.008323962800204754, 0.03115125745534897, 0.028762713074684143, 0.02787015587091446, 0.0008849755977280438, -0.00004459609044715762, -0.05604560300707817, 0.05158405378460884, 0.01252285297960043, -0.010095291770994663, 0.008103524334728718, 0...
Contrastive-Tension/BERT-Large-CT-STSb
[ "pytorch", "tf", "jax", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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: - 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
[ 0.0017371902940794826, -0.02003408968448639, -0.009736214764416218, 0.033401358872652054, 0.052329614758491516, 0.02122977003455162, -0.010146275162696838, 0.010052320547401905, -0.08035387843847275, 0.05931098759174347, 0.004719572141766548, -0.027016693726181984, -0.009151633828878403, 0...
Contrastive-Tension/BERT-Large-CT
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015323416329920292, -0.03099394030869007, -0.0021654574666172266, 0.03693480044603348, 0.03633836284279823, 0.027172116562724113, 0.0031839990988373756, 0.0007392515544779599, -0.05213377997279167, 0.05587191879749298, 0.011810820549726486, -0.01318134181201458, 0.0005188554059714079, 0...
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": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015887830406427383, -0.031184375286102295, -0.004807633813470602, 0.03749866783618927, 0.03459668532013893, 0.024583688005805016, 0.0038213280495256186, 0.0031724576838314533, -0.05012986809015274, 0.05568825453519821, 0.011490690521895885, -0.011119802482426167, 0.005257818847894669, 0...
Contrastive-Tension/RoBerta-Large-CT-STSb
[ "pytorch", "tf", "jax", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01594095304608345, -0.03138738125562668, -0.000327323010424152, 0.03505111485719681, 0.0385141521692276, 0.025189179927110672, 0.004594194237142801, 0.004958962090313435, -0.04891035705804825, 0.05286632478237152, 0.005582394544035196, -0.011626816354691982, 0.005686525255441666, 0.0480...
Cooker/cicero-similis
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.018122637644410133, -0.03681901469826698, 0.0021313701290637255, 0.03624318167567253, 0.034475091844797134, 0.026037776842713356, 0.006460024043917656, 0.0021880550775676966, -0.05273550748825073, 0.05187571793794632, 0.012670092284679413, -0.007639660965651274, 0.003843968966975808, 0....
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 |
[ -0.015076978132128716, -0.03480592370033264, -0.010605951771140099, 0.03743661195039749, 0.03418608754873276, 0.0236172117292881, -0.0014861347153782845, -0.0024881477002054453, -0.047103576362133026, 0.053755901753902435, 0.010134385898709297, -0.008153143338859081, -0.0039048041217029095, ...
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 |
[ -0.016270505264401436, -0.03168824687600136, -0.0009412760264240205, 0.03584372624754906, 0.04027586430311203, 0.02244548685848713, 0.00640499172732234, 0.0066839284263551235, -0.04996074363589287, 0.05602726712822914, 0.01149376668035984, -0.00678305933251977, 0.010161759331822395, 0.0462...
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
[ -0.0012793398927897215, -0.025386083871126175, -0.011431846767663956, 0.044067174196243286, 0.047316774725914, 0.025451799854636192, -0.009564202278852463, -0.0013583607506006956, -0.07852750271558762, 0.05391814559698105, 0.006339066196233034, -0.016896581277251244, -0.003678782843053341, ...
CopymySkill/DialoGPT-medium-atakan
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
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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
[ 0.0011161647271364927, -0.02779843471944332, -0.013754245825111866, 0.0465475432574749, 0.04971703141927719, 0.02664218097925186, -0.00546980369836092, -0.006366148125380278, -0.07219669967889786, 0.05870821326971054, 0.0032534960191696882, -0.015731623396277428, -0.002824094146490097, 0.0...
Corvus/DialoGPT-medium-CaptainPrice-Extended
[ "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
--- 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 |
[ -0.013425996527075768, -0.03158334270119667, -0.004366487730294466, 0.037687111645936966, 0.03364892676472664, 0.027159245684742928, -0.0005700652836821973, -0.004984259605407715, -0.046068210154771805, 0.05408399924635887, 0.016921672970056534, -0.018866168335080147, 0.004415553528815508, ...
Corvus/DialoGPT-medium-CaptainPrice
[ "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
--- 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 |
[ -0.011799304746091366, -0.03395227715373039, -0.0018442940199747682, 0.03520048409700394, 0.03432539850473404, 0.02687877044081688, -0.0030225261580199003, -0.0022347532212734222, -0.0454411543905735, 0.053420089185237885, 0.010488193482160568, -0.01703980192542076, 0.0054115233942866325, ...
CouchCat/ma_mlc_v7_distil
[ "pytorch", "distilbert", "text-classification", "en", "transformers", "multi-label", "license:mit" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.011892921291291714, -0.037424299865961075, 0.004896484315395355, 0.03274386003613472, 0.032103367149829865, 0.02814575657248497, 0.0016890163533389568, -0.0035359468311071396, -0.05188371241092682, 0.0516543872654438, 0.019899440929293633, -0.01567612588405609, 0.004259495995938778, 0.0...
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": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.011584218591451645, -0.0339081808924675, -0.011398592963814735, 0.03598937764763832, 0.030350126326084137, 0.025185000151395798, -0.006614920683205128, -0.007402586750686169, -0.045544542372226715, 0.053814757615327835, 0.015105745755136013, -0.013696962036192417, -0.002648854162544012, ...
CouchCat/ma_ner_v7_distil
[ "pytorch", "distilbert", "token-classification", "en", "transformers", "ner", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.013919970951974392, -0.03334163874387741, -0.0018252691952511668, 0.03677598014473915, 0.033872198313474655, 0.024564063176512718, -0.0013875395525246859, -0.0013955372851341963, -0.045091524720191956, 0.057466067373752594, 0.016964051872491837, -0.017761124297976494, 0.010113469325006008...
CouchCat/ma_sa_v7_distil
[ "pytorch", "distilbert", "text-classification", "en", "transformers", "sentiment-analysis", "license:mit" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.002917170524597168, -0.030458884313702583, -0.010791569016873837, 0.029790036380290985, 0.05366399511694908, 0.020548831671476364, -0.012011932209134102, 0.009185539558529854, -0.06901922076940536, 0.0557887963950634, 0.008367576636373997, -0.025295905768871307, -0.01599869132041931, 0.0...
CoveJH/ConBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.002161812037229538, -0.030361494049429893, -0.00929631944745779, 0.03651042655110359, 0.05149098485708237, 0.019995098933577538, -0.011914214119315147, 0.015142971649765968, -0.059033624827861786, 0.056434474885463715, -0.0032853896263986826, -0.023821057751774788, -0.017953671514987946, ...
Coverage/sakurajimamai
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.002467165933921933, -0.036927271634340286, -0.0028929836116731167, 0.0418020635843277, 0.050864677876234055, 0.023539287969470024, -0.001700121909379959, 0.00983499363064766, -0.05750473961234093, 0.05804930627346039, -0.00018465661560185254, -0.030329832807183266, -0.02180437743663788, ...
Coyotl/DialoGPT-test-last-arthurmorgan
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.004930505529046059, -0.026206158101558685, -0.009870123118162155, 0.045345455408096313, 0.0525093637406826, 0.01983160339295864, -0.008369388058781624, -0.004668492823839188, -0.07852111011743546, 0.04594035446643829, 0.0027431081980466843, -0.02822972647845745, -0.01593613810837269, 0....
Culmenus/opus-mt-de-is-finetuned-de-to-is_35g65cc_1
[]
null
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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 |
[ -0.01487053744494915, -0.029869014397263527, -0.001183694344945252, 0.040356654673814774, 0.0305985976010561, 0.01956855319440365, -0.002203182317316532, -0.005259356461465359, -0.04871155694127083, 0.053687941282987595, 0.009844942018389702, -0.012496423907577991, 0.016260242089629173, 0....
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
[ -0.0020105368457734585, -0.022250182926654816, -0.016752449795603752, 0.03645294904708862, 0.04035501554608345, 0.018601885065436363, 0.0005495204823091626, -0.005342765711247921, -0.0759899765253067, 0.06207750365138054, 0.005619427189230919, -0.013195295818150043, -0.004129230976104736, ...
Culmenus/opus-mt-de-is-finetuned-de-to-is_nr2
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015324321575462818, -0.03235417231917381, -0.009046067483723164, 0.03638380393385887, 0.022853467613458633, 0.024681856855750084, -0.0020335037261247635, -0.004924893379211426, -0.05022365599870682, 0.055275771766901016, 0.015622851438820362, -0.017297398298978806, 0.007094858214259148, ...
CuongLD/wav2vec2-large-xlsr-vietnamese
[ "pytorch", "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
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.014788391999900341, -0.03772597759962082, -0.0008384830434806645, 0.03227398544549942, 0.019017348065972328, 0.028246773406863213, 0.0017727708909660578, -0.006764815654605627, -0.05221585929393768, 0.0494295209646225, 0.017488764598965645, -0.01640532724559307, 0.008564837276935577, 0....
DHBaek/xlm-roberta-large-korquad-mask
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.015657659620046616, -0.02272803522646427, -0.006709613371640444, 0.03359818458557129, 0.03419337421655655, 0.026689663529396057, -0.0025062134955078363, -0.006433933973312378, -0.035264987498521805, 0.05642274394631386, 0.002603781409561634, -0.012378751300275326, 0.006481080781668425, ...
alexandrainst/da-ner-base
[ "pytorch", "tf", "bert", "token-classification", "da", "dataset:dane", "transformers", "license:cc-by-sa-4.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.0017269348027184606, -0.03795769810676575, -0.006662040948867798, 0.030200662091374397, 0.050552353262901306, 0.012792841531336308, -0.002062128158286214, 0.0028781576547771692, -0.06883762776851654, 0.06153208762407303, 0.005700364708900452, -0.02058635838329792, -0.007912258617579937, ...
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" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.0131013048812747, -0.028025906533002853, -0.0023440970107913017, 0.03469191864132881, 0.03800917789340019, 0.02118823491036892, -0.0016825298080220819, -0.004329625982791185, -0.047502871602773666, 0.059165529906749725, 0.005734616424888372, -0.011426153592765331, 0.00413100328296423, 0...
DarkKibble/DialoGPT-medium-Tankman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.0039021975826472044, -0.030942048877477646, -0.006297522224485874, 0.030427515506744385, 0.039988815784454346, 0.010930470190942287, 0.0011311187408864498, -0.00031482259510084987, -0.08051428943872452, 0.053492460399866104, 0.019083382561802864, -0.014996777288615704, -0.00422406662255525...
Darren/darren
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.00027079752180725336, -0.02474948950111866, -0.004417069721966982, 0.050668854266405106, 0.048930756747722626, 0.012271218933165073, 0.005972089245915413, -0.011167986318469048, -0.06773202121257782, 0.0487280897796154, 0.019844871014356613, -0.024680117145180702, -0.012042999267578125, ...
DataikuNLP/distiluse-base-multilingual-cased-v1
[ "pytorch", "distilbert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "architectures": [ "DistilBertModel" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.01557078119367361, -0.0354808010160923, 0.007238507736474276, 0.0343843512237072, 0.029510317370295525, 0.02308075688779354, 0.0039610182866454124, -0.004634171258658171, -0.05867180600762367, 0.05109978839755058, 0.015171511098742485, -0.0191201139241457, 0.004787320736795664, 0.048986...
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": { "conversational": { "max_length": null }, "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 } } }
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 |
[ -0.013149158097803593, -0.033035557717084885, -0.005947971250861883, 0.03338125720620155, 0.02945503033697605, 0.022182246670126915, -0.005563003942370415, -0.007366706617176533, -0.049905575811862946, 0.052608639001846313, 0.009958360344171524, -0.015424276702105999, -0.004404869396239519, ...
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": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.007059536874294281, -0.032086048275232315, -0.011124066077172756, 0.04368876665830612, 0.03890446946024895, 0.021932965144515038, 0.007092493120580912, -0.006784417200833559, -0.06592361629009247, 0.06075580045580864, 0.0009112697443924844, -0.019227171316742897, 0.009430303238332272, 0...
DavidSpaceG/MSGIFSR
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.008163237012922764, -0.034308262169361115, -0.0068922992795705795, 0.04701045900583267, 0.04549016058444977, 0.01442014705389738, 0.009856277145445347, -0.001638417481444776, -0.07736863940954208, 0.0592644028365612, 0.012205097824335098, -0.028773032128810883, -0.010037657804787159, 0....
Davlan/bert-base-multilingual-cased-finetuned-amharic
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.004536880180239677, -0.03575357422232628, 0.00006072330506867729, 0.056919049471616745, 0.048343878239393234, 0.020467087626457214, 0.010740199126303196, -0.004197834525257349, -0.0581858828663826, 0.059550847858190536, -0.0020505429711192846, -0.03536887839436531, -0.007228717673569918, ...
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": { "conversational": { "max_length": null }, "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 } } }
151
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--- 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
[ -0.006824599578976631, -0.03450547531247139, -0.007903761230409145, 0.045989811420440674, 0.04974767938256264, 0.01842130906879902, 0.0016429370734840631, -0.007217321544885635, -0.07822130620479584, 0.05720997601747513, 0.013980605639517307, -0.029633549973368645, 0.0014138554688543081, 0...
Davlan/bert-base-multilingual-cased-finetuned-igbo
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ -0.0008122006547637284, -0.03199567273259163, -0.01091740932315588, 0.05148344859480858, 0.053530268371105194, 0.017996493726968765, -0.0026224160101264715, -0.00041255843825638294, -0.06701045483350754, 0.05752990022301674, 0.0052614533342421055, -0.027462482452392578, -0.002258234191685915...
Davlan/bert-base-multilingual-cased-finetuned-kinyarwanda
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
27
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--- 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 |
[ -0.014430835843086243, -0.03284985199570656, 0.00347305741161108, 0.03643349930644035, 0.03271276131272316, 0.01890825666487217, 0.002718779956921935, -0.003386507974937558, -0.05341218039393425, 0.055012453347444534, 0.011568252928555012, -0.020738493651151657, 0.009034876711666584, 0.053...
Davlan/bert-base-multilingual-cased-finetuned-luganda
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
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
[ 0.00015257572522386909, -0.028207115828990936, -0.007684367708861828, 0.05571122467517853, 0.0420304536819458, 0.022224992513656616, 0.006899757776409388, -0.008996261283755302, -0.07375670969486237, 0.06404685974121094, 0.00464220903813839, -0.034077201038599014, 0.001014917972497642, 0.0...
Davlan/bert-base-multilingual-cased-finetuned-swahili
[ "pytorch", "tf", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "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 } } }
67
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--- 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
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