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Davlan/bert-base-multilingual-cased-finetuned-wolof
[ "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 } } }
4
null
--- language: - ka - ru tags: - translation license: apache-2.0 --- ### kat-rus * source group: Georgian * target group: Russian * OPUS readme: [kat-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md) * model: transformer-align * source language(s): kat * target language(s): rus * 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-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kat.rus | 38.2 | 0.604 | ### System Info: - hf_name: kat-rus - source_languages: kat - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'ru'] - src_constituents: {'kat'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt - src_alpha3: kat - tgt_alpha3: rus - short_pair: ka-ru - chrF2_score: 0.604 - bleu: 38.2 - brevity_penalty: 0.996 - ref_len: 3899.0 - src_name: Georgian - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: ka - tgt_alpha2: ru - prefer_old: False - long_pair: kat-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.010550734587013721, -0.03465191274881363, -0.01388341560959816, 0.0384267121553421, 0.053439464420080185, 0.024624928832054138, -0.007810337468981743, 0.004448871593922377, -0.08682289719581604, 0.05438700318336487, 0.009273000061511993, -0.02893434464931488, -0.0032767190132290125, 0.0...
Davlan/bert-base-multilingual-cased-finetuned-yoruba
[ "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 } } }
21
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--- tags: - translation license: apache-2.0 --- ### opus-mt-kab-en * source languages: kab * target languages: en * OPUS readme: [kab-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kab-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/kab-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kab-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.kab.en | 27.5 | 0.408 |
[ -0.013346477411687374, -0.031283002346754074, -0.006451022811233997, 0.039273157715797424, 0.03807944431900978, 0.027331048622727394, -0.0030848265159875154, 0.006052321754395962, -0.05477335304021835, 0.05279567092657089, -0.0003894181572832167, -0.01443544402718544, 0.006434413138777018, ...
Davlan/bert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "bert", "token-classification", "arxiv:2103.11811", "transformers", "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 } } }
88
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--- tags: - translation license: apache-2.0 --- ### opus-mt-kg-en * source languages: kg * target languages: en * OPUS readme: [kg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-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/kg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kg.en | 35.4 | 0.508 |
[ -0.018293997272849083, -0.027542971074581146, -0.0031815008260309696, 0.03470860794186592, 0.027228599414229393, 0.019808730110526085, 0.003043493488803506, 0.004699959419667721, -0.04906769096851349, 0.0635668933391571, 0.008429222740232944, -0.01408084761351347, 0.008700148202478886, 0.0...
Davlan/bert-base-multilingual-cased-ner-hrl
[ "pytorch", "tf", "bert", "token-classification", "transformers", "autotrain_compatible", "has_space" ]
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 } } }
269,898
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kg-es * source languages: kg * target languages: es * OPUS readme: [kg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-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/kg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kg.es | 22.4 | 0.402 |
[ -0.01813400723040104, -0.027623053640127182, 0.0006721424870193005, 0.03294600546360016, 0.02858716808259487, 0.020852908492088318, 0.002510502003133297, 0.0055483379401266575, -0.04886205121874809, 0.061421457678079605, 0.0035941600799560547, -0.014578724279999733, 0.009436123073101044, 0...
Davlan/byt5-base-eng-yor-mt
[ "pytorch", "t5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "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 } } }
11
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--- tags: - translation license: apache-2.0 --- ### opus-mt-kg-fr * source languages: kg * target languages: fr * OPUS readme: [kg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kg.fr | 26.0 | 0.433 |
[ -0.016315435990691185, -0.029776128008961678, -0.008070176467299461, 0.033203646540641785, 0.027361402288079262, 0.01966308057308197, -0.002221568487584591, -0.0008969120099209249, -0.04721410572528839, 0.061295852065086365, 0.007474846206605434, -0.011880503036081791, 0.0005444614798761904,...
Davlan/byt5-base-yor-eng-mt
[ "pytorch", "t5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "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 } } }
12
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--- tags: - translation license: apache-2.0 --- ### opus-mt-kg-sv * source languages: kg * target languages: sv * OPUS readme: [kg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-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/kg-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kg.sv | 26.3 | 0.440 |
[ -0.020294662564992905, -0.027124371379613876, 0.0014359222259372473, 0.034416645765304565, 0.028839919716119766, 0.01695813611149788, 0.003493170952424407, 0.006918609607964754, -0.04888255521655083, 0.06529413163661957, 0.006041691172868013, -0.013554692268371582, 0.01526481844484806, 0.0...
Davlan/distilbert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "distilbert", "token-classification", "arxiv:2103.11811", "transformers", "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 } } }
16
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--- tags: - translation license: apache-2.0 --- ### opus-mt-kj-en * source languages: kj * target languages: en * OPUS readme: [kj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kj-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/kj-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kj-en/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kj.en | 30.3 | 0.477 |
[ -0.01971047930419445, -0.030365843325853348, -0.0007335623959079385, 0.03490503504872322, 0.02543441206216812, 0.017966467887163162, 0.004316217266023159, -0.004975542426109314, -0.05397413298487663, 0.046755485236644745, 0.005781807936728001, -0.026155736297369003, 0.0022465065121650696, ...
Davlan/distilbert-base-multilingual-cased-ner-hrl
[ "pytorch", "tf", "distilbert", "token-classification", "transformers", "autotrain_compatible", "has_space" ]
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 } } }
123,856
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kl-en * source languages: kl * target languages: en * OPUS readme: [kl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kl-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/kl-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kl-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kl.en | 26.4 | 0.432 | | Tatoeba.kl.en | 35.5 | 0.443 |
[ -0.015973875299096107, -0.031438183039426804, -0.0031971116550266743, 0.03460107371211052, 0.030608728528022766, 0.01619488000869751, -0.002512224717065692, -0.003555383998900652, -0.05316736176609993, 0.05637423321604729, 0.0097729517146945, -0.023735394701361656, 0.0015712555032223463, 0...
Davlan/m2m100_418M-eng-yor-mt
[ "pytorch", "m2m_100", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "M2M100ForConditionalGeneration" ], "model_type": "m2m_100", "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
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--- tags: - translation license: apache-2.0 --- ### opus-mt-ko-de * source languages: ko * target languages: de * OPUS readme: [ko-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-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/ko-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ko.de | 30.2 | 0.523 |
[ -0.01543422695249319, -0.03169485554099083, 0.007807744201272726, 0.030508333817124367, 0.033639177680015564, 0.02539394609630108, 0.00019190512830391526, 0.0006964521599002182, -0.055406853556632996, 0.057810645550489426, 0.012215320952236652, -0.0166065264493227, 0.004923217464238405, 0....
Davlan/m2m100_418M-yor-eng-mt
[ "pytorch", "m2m_100", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "M2M100ForConditionalGeneration" ], "model_type": "m2m_100", "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
--- language: - ko - en tags: - translation license: apache-2.0 --- ### kor-eng * source group: Korean * target group: English * OPUS readme: [kor-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * 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/kor-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.eng | 41.3 | 0.588 | ### System Info: - hf_name: kor-eng - source_languages: kor - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'en'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: eng - short_pair: ko-en - chrF2_score: 0.588 - bleu: 41.3 - brevity_penalty: 0.9590000000000001 - ref_len: 17711.0 - src_name: Korean - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: en - prefer_old: False - long_pair: kor-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.00577496038749814, -0.031264908611774445, -0.015903398394584656, 0.03326951712369919, 0.04125390574336052, 0.016592180356383324, -0.0006919334409758449, 0.004546248819679022, -0.07645734399557114, 0.05814949795603752, 0.012357911095023155, -0.02392740733921528, -0.004070376977324486, 0....
Davlan/mT5_base_yoruba_adr
[ "pytorch", "mt5", "text2text-generation", "arxiv:2003.10564", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "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
--- language: - ko - es tags: - translation license: apache-2.0 --- ### kor-spa * source group: Korean * target group: Spanish * OPUS readme: [kor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.spa | 31.3 | 0.521 | ### System Info: - hf_name: kor-spa - source_languages: kor - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'es'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-spa/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: spa - short_pair: ko-es - chrF2_score: 0.521 - bleu: 31.3 - brevity_penalty: 0.95 - ref_len: 6805.0 - src_name: Korean - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: es - prefer_old: False - long_pair: kor-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.005606554448604584, -0.03593388572335243, -0.010974517092108727, 0.039276883006095886, 0.043868839740753174, 0.013217361643910408, -0.0014550969935953617, 0.011874519288539886, -0.0722772479057312, 0.057966794818639755, 0.0013698710827156901, -0.0243981946259737, -0.011111052706837654, ...
Davlan/mbart50-large-eng-yor-mt
[ "pytorch", "mbart", "text2text-generation", "arxiv:2103.08647", "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 } } }
5
null
--- language: - ko - fi tags: - translation license: apache-2.0 --- ### kor-fin * source group: Korean * target group: Finnish * OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): fin * 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/kor-fin/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.fin | 26.6 | 0.502 | ### System Info: - hf_name: kor-fin - source_languages: kor - target_languages: fin - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'fi'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'fin'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: fin - short_pair: ko-fi - chrF2_score: 0.502 - bleu: 26.6 - brevity_penalty: 0.892 - ref_len: 2251.0 - src_name: Korean - tgt_name: Finnish - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: fi - prefer_old: False - long_pair: kor-fin - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.011825010180473328, -0.03717092052102089, -0.0036188485100865364, 0.02964356727898121, 0.04199586063623428, 0.01633276231586933, -0.0041678170673549175, 0.005776369944214821, -0.09050977975130081, 0.053635988384485245, 0.014157126657664776, -0.020310992375016212, -0.008209506049752235, ...
Davlan/mbart50-large-yor-eng-mt
[ "pytorch", "mbart", "text2text-generation", "arxiv:2103.08647", "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 } } }
5
null
--- language: - ko - fr tags: - translation license: apache-2.0 --- ### kor-fra * source group: Korean * target group: French * OPUS readme: [kor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Hani kor_Latn * target language(s): fra * 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/kor-fra/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.fra | 30.4 | 0.503 | ### System Info: - hf_name: kor-fra - source_languages: kor - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'fr'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: fra - short_pair: ko-fr - chrF2_score: 0.503 - bleu: 30.4 - brevity_penalty: 0.9179999999999999 - ref_len: 2714.0 - src_name: Korean - tgt_name: French - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: fr - prefer_old: False - long_pair: kor-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.005885946564376354, -0.03705279156565666, -0.011452313512563705, 0.038735486567020416, 0.04353250190615654, 0.014017232693731785, -0.005304174032062292, 0.002878859406337142, -0.071167953312397, 0.05746034160256386, 0.009931271895766258, -0.02291800081729889, -0.01422082632780075, 0.038...
Davlan/mt5-small-en-pcm
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "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
null
--- language: - ko - hu tags: - translation license: apache-2.0 --- ### kor-hun * source group: Korean * target group: Hungarian * OPUS readme: [kor-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md) * model: transformer-align * source language(s): kor kor_Hang kor_Latn * target language(s): hun * 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/kor-hun/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.hun | 28.6 | 0.520 | ### System Info: - hf_name: kor-hun - source_languages: kor - target_languages: hun - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'hu'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'hun'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: hun - short_pair: ko-hu - chrF2_score: 0.52 - bleu: 28.6 - brevity_penalty: 0.905 - ref_len: 1615.0 - src_name: Korean - tgt_name: Hungarian - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: hu - prefer_old: False - long_pair: kor-hun - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.012791466899216175, -0.035618070513010025, -0.01953696273267269, 0.04621753469109535, 0.03834577277302742, 0.02322261780500412, 0.005571370478719473, 0.007712839636951685, -0.07130809873342514, 0.05101878196001053, 0.010937530547380447, -0.016719123348593712, -0.002943009603768587, 0.04...
Davlan/mt5-small-pcm-en
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "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
null
--- language: - ko - ru tags: - translation license: apache-2.0 --- ### kor-rus * source group: Korean * target group: Russian * OPUS readme: [kor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md) * model: transformer-align * source language(s): kor_Hang kor_Latn * 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/kor-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kor.rus | 30.3 | 0.514 | ### System Info: - hf_name: kor-rus - source_languages: kor - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ko', 'ru'] - src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt - src_alpha3: kor - tgt_alpha3: rus - short_pair: ko-ru - chrF2_score: 0.514 - bleu: 30.3 - brevity_penalty: 0.961 - ref_len: 1382.0 - src_name: Korean - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: ko - tgt_alpha2: ru - prefer_old: False - long_pair: kor-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.008419925346970558, -0.03761393576860428, -0.016169100999832153, 0.03716614842414856, 0.048463381826877594, 0.018144993111491203, -0.005035639274865389, 0.00018877178081311285, -0.08373064547777176, 0.05708109214901924, 0.019484467804431915, -0.02497910149395466, -0.009768304415047169, ...
Davlan/mt5_base_eng_yor_mt
[ "pytorch", "mt5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "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 } } }
2
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ko-sv * source languages: ko * target languages: sv * OPUS readme: [ko-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ko-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/ko-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ko-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ko.sv | 26.5 | 0.468 |
[ -0.019567009061574936, -0.02828989177942276, 0.0042907665483653545, 0.030841557309031487, 0.03130798414349556, 0.01841817982494831, 0.0007249790942296386, 0.0026049220468848944, -0.05295983701944351, 0.0563841387629509, 0.008845828473567963, -0.013744714669883251, 0.01534987986087799, 0.04...
Davlan/mt5_base_yor_eng_mt
[ "pytorch", "mt5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "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-kqn-en * source languages: kqn * target languages: en * OPUS readme: [kqn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kqn.en | 32.6 | 0.480 |
[ -0.021536968648433685, -0.033197417855262756, -0.004387900698930025, 0.042609840631484985, 0.02745959162712097, 0.01357793528586626, 0.004299841821193695, -0.00012273395259398967, -0.056004103273153305, 0.039313435554504395, -0.006331669632345438, -0.02179928869009018, 0.005970383528620005, ...
Davlan/naija-twitter-sentiment-afriberta-large
[ "pytorch", "tf", "xlm-roberta", "text-classification", "arxiv:2201.08277", "transformers", "has_space" ]
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 } } }
61
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kqn-es * source languages: kqn * target languages: es * OPUS readme: [kqn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kqn.es | 20.9 | 0.378 |
[ -0.020144684240221977, -0.034486446529626846, -0.0007583062397316098, 0.04058926925063133, 0.02798456884920597, 0.014138751663267612, 0.0027339360676705837, 0.001065538846887648, -0.05633845552802086, 0.03857200965285301, -0.011298167519271374, -0.020955458283424377, 0.005376278422772884, ...
Davlan/xlm-roberta-base-finetuned-amharic
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
401
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kqn-fr * source languages: kqn * target languages: fr * OPUS readme: [kqn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kqn.fr | 23.2 | 0.400 |
[ -0.017380565404891968, -0.0339166559278965, -0.008993278257548809, 0.04038164019584656, 0.026598377153277397, 0.015136942267417908, -0.0021393613424152136, -0.004730727523565292, -0.054985012859106064, 0.041890811175107956, -0.0017252224497497082, -0.01797523908317089, -0.001479471568018198,...
Davlan/xlm-roberta-base-finetuned-chichewa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kqn-sv * source languages: kqn * target languages: sv * OPUS readme: [kqn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-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/kqn-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kqn.sv | 23.3 | 0.409 |
[ -0.021440580487251282, -0.03408133238554001, 0.00024487171322107315, 0.04070473462343216, 0.028484957292675972, 0.010261054150760174, 0.005090048070997, 0.0015817196108400822, -0.05626809969544411, 0.04191133379936218, -0.006471320055425167, -0.019601257517933846, 0.011945649050176144, 0.0...
Davlan/xlm-roberta-base-finetuned-english
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kwn-en * source languages: kwn * target languages: en * OPUS readme: [kwn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwn-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/kwn-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kwn.en | 27.5 | 0.434 |
[ -0.022613532841205597, -0.02736973576247692, -0.008558522909879684, 0.03746505081653595, 0.024471376091241837, 0.023477891460061073, -0.00048346249968744814, -0.002273094141855836, -0.04724198579788208, 0.05496356636285782, 0.011470493860542774, -0.01603797823190689, 0.0016704162117093801, ...
Davlan/xlm-roberta-base-finetuned-hausa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
234
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kwy-en * source languages: kwy * target languages: en * OPUS readme: [kwy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-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/kwy-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kwy.en | 31.6 | 0.466 |
[ -0.023243935778737068, -0.025691209360957146, -0.0076796747744083405, 0.027586525306105614, 0.028368350118398666, 0.0244231428951025, 0.005190904252231121, 0.00614347867667675, -0.050748031586408615, 0.05295301601290703, 0.008384873159229755, -0.022782467305660248, 0.0061150602996349335, 0...
Davlan/xlm-roberta-base-finetuned-igbo
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
68
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kwy-fr * source languages: kwy * target languages: fr * OPUS readme: [kwy-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kwy.fr | 20.6 | 0.367 |
[ -0.019853979349136353, -0.029257917776703835, -0.012287876568734646, 0.028767060488462448, 0.029054556041955948, 0.024792449548840523, 0.001156330807134509, -0.0004208106256555766, -0.050782110542058945, 0.052513487637043, 0.01002966146916151, -0.02022852748632431, -0.0026019408833235502, ...
Davlan/xlm-roberta-base-finetuned-kinyarwanda
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
61
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-kwy-sv * source languages: kwy * target languages: sv * OPUS readme: [kwy-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwy-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/kwy-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwy-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.kwy.sv | 20.2 | 0.373 |
[ -0.02345511130988598, -0.028788262978196144, -0.0033407548908144236, 0.030029043555259705, 0.03101782314479351, 0.023231126368045807, 0.006518777925521135, 0.006767890881747007, -0.04964640736579895, 0.05474599078297615, 0.006458043120801449, -0.023911219090223312, 0.013160896487534046, 0....
Davlan/xlm-roberta-base-finetuned-lingala
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lg-en * source languages: lg * target languages: en * OPUS readme: [lg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lg.en | 32.6 | 0.480 | | Tatoeba.lg.en | 5.4 | 0.243 |
[ -0.012334052473306656, -0.030017627403140068, -0.004754617810249329, 0.03610094636678696, 0.03170495852828026, 0.022455092519521713, -0.00023036036873236299, -0.0018608211539685726, -0.04646829143166542, 0.05657663568854332, 0.012718002311885357, -0.016994358971714973, -0.0000443900025857146...
Davlan/xlm-roberta-base-finetuned-luganda
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
11
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lg-es * source languages: lg * target languages: es * OPUS readme: [lg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lg.es | 22.1 | 0.393 |
[ -0.011930287815630436, -0.028413627296686172, -0.004095073323696852, 0.03569813445210457, 0.0313754640519619, 0.02277756668627262, -0.00211878539994359, -0.0020912999752908945, -0.04238097369670868, 0.054770577698946, 0.008465595543384552, -0.016411269083619118, 0.0028771255165338516, 0.05...
Davlan/xlm-roberta-base-finetuned-luo
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lg-fi * source languages: lg * target languages: fi * OPUS readme: [lg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fi/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lg.fi | 21.8 | 0.424 |
[ -0.014303174801170826, -0.033606793731451035, 0.0025325361639261246, 0.034818071871995926, 0.026430528610944748, 0.025457587093114853, 0.0027863490395247936, -0.003315186593681574, -0.04799598082900047, 0.051637161523103714, 0.015779847279191017, -0.014210403896868229, 0.005451166070997715, ...
Davlan/xlm-roberta-base-finetuned-naija
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
1
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lg-fr * source languages: lg * target languages: fr * OPUS readme: [lg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lg.fr | 23.7 | 0.406 |
[ -0.012563653290271759, -0.03019092231988907, -0.01121546607464552, 0.03578098490834236, 0.028154492378234863, 0.022680437192320824, -0.005520936101675034, -0.005657057743519545, -0.043556224554777145, 0.05449507758021355, 0.012051187455654144, -0.012747183442115784, -0.0031403761822730303, ...
Davlan/xlm-roberta-base-finetuned-shona
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lg-sv * source languages: lg * target languages: sv * OPUS readme: [lg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-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/lg-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lg-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lg.sv | 24.5 | 0.423 |
[ -0.01352530624717474, -0.02740134857594967, -0.003300675190985203, 0.03746408596634865, 0.03091759979724884, 0.01988593488931656, -0.0003701294772326946, -0.00020738823513966054, -0.0441991463303566, 0.05843006446957588, 0.01362343318760395, -0.015505034476518631, 0.008170802146196365, 0.0...
Davlan/xlm-roberta-base-finetuned-somali
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ln-de * source languages: ln * target languages: de * OPUS readme: [ln-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-de/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ln.de | 23.3 | 0.428 |
[ -0.01692507043480873, -0.02691393718123436, -0.007097257766872644, 0.036834295839071274, 0.022940699011087418, 0.027751607820391655, -0.0018552117981016636, -0.0060081263072788715, -0.04788660630583763, 0.05463288724422455, 0.014552373439073563, -0.018286671489477158, 0.0012927008792757988, ...
Davlan/xlm-roberta-base-finetuned-swahili
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
40
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ln-en * source languages: ln * target languages: en * OPUS readme: [ln-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ln.en | 35.9 | 0.516 |
[ -0.01904061995446682, -0.02772209234535694, -0.007903768680989742, 0.03739131987094879, 0.02228356897830963, 0.023006070405244827, 0.0008033716003410518, -0.006003383081406355, -0.04514800384640694, 0.05142400413751602, 0.015584249049425125, -0.018372880294919014, 0.0036820124369114637, 0....
Davlan/xlm-roberta-base-finetuned-wolof
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ln-es * source languages: ln * target languages: es * OPUS readme: [ln-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-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/ln-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ln.es | 26.5 | 0.444 |
[ -0.01853763870894909, -0.02852519601583481, -0.004859490320086479, 0.03671680763363838, 0.024216176941990852, 0.023523785173892975, -0.001626145443879068, -0.004507170524448156, -0.04230158030986786, 0.04983975365757942, 0.008842701092362404, -0.01715141534805298, 0.0035969584714621305, 0....
Davlan/xlm-roberta-base-finetuned-xhosa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
12
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ln-fr * source languages: ln * target languages: fr * OPUS readme: [ln-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ln-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/ln-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ln-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ln.fr | 28.4 | 0.456 |
[ -0.016753867268562317, -0.029990972951054573, -0.011963767930865288, 0.03609725460410118, 0.022944629192352295, 0.023112230002880096, -0.004280426539480686, -0.009174452163279057, -0.04360645264387131, 0.0506163164973259, 0.014298207126557827, -0.014504464343190193, -0.002620125189423561, ...
Davlan/xlm-roberta-base-finetuned-yoruba
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
29
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-de * source languages: loz * target languages: de * OPUS readme: [loz-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-de/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.de | 24.3 | 0.438 |
[ -0.015355688519775867, -0.027639443054795265, -0.00688629224896431, 0.03564375638961792, 0.027902407571673393, 0.02363087423145771, -0.004091727547347546, -0.00582814821973443, -0.04661368578672409, 0.05609363690018654, 0.013590648770332336, -0.016279436647892, -0.0005381173104979098, 0.05...
Davlan/xlm-roberta-base-finetuned-zulu
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-en * source languages: loz * target languages: en * OPUS readme: [loz-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.en | 42.1 | 0.565 |
[ -0.016797281801700592, -0.02748856134712696, -0.00820193998515606, 0.0361936092376709, 0.02667243219912052, 0.019595451653003693, -0.003125030780211091, -0.0036882655695080757, -0.04229862242937088, 0.0554092638194561, 0.01530818548053503, -0.014546798542141914, 0.004213714972138405, 0.051...
Davlan/xlm-roberta-base-masakhaner
[ "pytorch", "xlm-roberta", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-es * source languages: loz * target languages: es * OPUS readme: [loz-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.es | 28.4 | 0.464 |
[ -0.015047507360577583, -0.028007950633764267, -0.005368221551179886, 0.03413477912545204, 0.029513314366340637, 0.018255310133099556, -0.004027222748845816, -0.004566216375678778, -0.03880158066749573, 0.051611971110105515, 0.008941377513110638, -0.01567893847823143, 0.0027803569100797176, ...
Davlan/xlm-roberta-base-ner-hrl
[ "pytorch", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
760
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-fi * source languages: loz * target languages: fi * OPUS readme: [loz-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.fi | 25.1 | 0.467 |
[ -0.017870401963591576, -0.033199481666088104, 0.0023564265575259924, 0.033832259476184845, 0.024401284754276276, 0.020269664004445076, -0.000857406877912581, -0.004795749206095934, -0.04647374525666237, 0.05079389736056328, 0.019159749150276184, -0.012238144874572754, 0.0036303044762462378, ...
Davlan/xlm-roberta-base-sadilar-ner
[ "pytorch", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
12
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-fr * source languages: loz * target languages: fr * OPUS readme: [loz-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.fr | 28.5 | 0.462 |
[ -0.014132948592305183, -0.03186247497797012, -0.01255778782069683, 0.0357036218047142, 0.026719311252236366, 0.020114900544285774, -0.008384783752262592, -0.008521268144249916, -0.04263056814670563, 0.05254954844713211, 0.013222722336649895, -0.012316776439547539, -0.0038494805339723825, 0...
Davlan/xlm-roberta-base-wikiann-ner
[ "pytorch", "tf", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
235
2020-04-29T13:09:47Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-loz-sv * source languages: loz * target languages: sv * OPUS readme: [loz-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.loz.sv | 30.0 | 0.477 |
[ -0.015000720508396626, -0.027620522305369377, -0.0050294604152441025, 0.036929309368133545, 0.02958063967525959, 0.015616211108863354, -0.0034777671098709106, -0.002972966991364956, -0.04118230938911438, 0.05570361763238907, 0.016663705930113792, -0.013790760189294815, 0.009682385250926018, ...
Davlan/xlm-roberta-large-masakhaner
[ "pytorch", "tf", "xlm-roberta", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
1,449
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lt-de * source languages: lt * target languages: de * OPUS readme: [lt-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-de/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.lt.de | 45.2 | 0.640 |
[ -0.013877574354410172, -0.02738548256456852, -0.004075387492775917, 0.037568558007478714, 0.0302635058760643, 0.026527175679802895, -0.004605423659086227, -0.003855459624901414, -0.04875142127275467, 0.05773782730102539, 0.01080478634685278, -0.01596909575164318, 0.000274497113423422, 0.05...
Davlan/xlm-roberta-large-ner-hrl
[ "pytorch", "tf", "xlm-roberta", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "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 } } }
1,322
null
--- language: - lt - eo tags: - translation license: apache-2.0 --- ### lit-epo * source group: Lithuanian * target group: Esperanto * OPUS readme: [lit-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md) * model: transformer-align * source language(s): lit * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.epo | 13.0 | 0.313 | ### System Info: - hf_name: lit-epo - source_languages: lit - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'eo'] - src_constituents: {'lit'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-epo/opus-2020-06-16.test.txt - src_alpha3: lit - tgt_alpha3: epo - short_pair: lt-eo - chrF2_score: 0.313 - bleu: 13.0 - brevity_penalty: 1.0 - ref_len: 70340.0 - src_name: Lithuanian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: lt - tgt_alpha2: eo - prefer_old: False - long_pair: lit-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.0015824380097910762, -0.029156789183616638, -0.00921324361115694, 0.02822278067469597, 0.05091336369514465, 0.018619488924741745, -0.0051191337406635284, 0.0006424536113627255, -0.08269139379262924, 0.05532487854361534, 0.011362222954630852, -0.017866354435682297, -0.0055700065568089485, ...
Dawit/DialogGPT-small-ironman
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams": null, "prefix": null }, "text-generation": { "do_sample": null, "max_length": null }, "translation_en_to_de": { "early_stopping": null, "max_length": null, "num_beams": null, "prefix": null }, "translation_en_to_fr": { "early_stopping": null, "max_length": null, "num_beams": null, "prefix": null }, "translation_en_to_ro": { "early_stopping": null, "max_length": null, "num_beams": null, "prefix": null } } }
7
null
--- language: - lt - es tags: - translation license: apache-2.0 --- ### lit-spa * source group: Lithuanian * target group: Spanish * OPUS readme: [lit-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md) * model: transformer-align * source language(s): lit * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.spa | 50.5 | 0.680 | ### System Info: - hf_name: lit-spa - source_languages: lit - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'es'] - src_constituents: {'lit'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-spa/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: spa - short_pair: lt-es - chrF2_score: 0.68 - bleu: 50.5 - brevity_penalty: 0.963 - ref_len: 2738.0 - src_name: Lithuanian - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: es - prefer_old: False - long_pair: lit-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.004912679549306631, -0.029852867126464844, -0.010378475300967693, 0.03794993832707405, 0.04719634726643562, 0.015955129638314247, -0.01076046284288168, 0.0036098440177738667, -0.07931716740131378, 0.05653757229447365, 0.006792758125811815, -0.01437321025878191, -0.011500309221446514, 0.0...
Dawn576/Dawn
[]
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-lt-fr * source languages: lt * target languages: fr * OPUS readme: [lt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-fr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lt.fr | 22.0 | 0.428 |
[ -0.011950653977692127, -0.029354672878980637, -0.011434082873165607, 0.03628438338637352, 0.027874281629920006, 0.021227652207016945, -0.005283799953758717, -0.007610544562339783, -0.044244103133678436, 0.05363010987639427, 0.010491006076335907, -0.012833796441555023, -0.0022680037654936314,...
Daymarebait/Discord_BOT_RICK
[ "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 } } }
3
null
--- language: - lt - it tags: - translation license: apache-2.0 --- ### lit-ita * source group: Lithuanian * target group: Italian * OPUS readme: [lit-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md) * model: transformer-align * source language(s): lit * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.ita | 42.2 | 0.657 | ### System Info: - hf_name: lit-ita - source_languages: lit - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'it'] - src_constituents: {'lit'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-ita/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: ita - short_pair: lt-it - chrF2_score: 0.657 - bleu: 42.2 - brevity_penalty: 0.9740000000000001 - ref_len: 1505.0 - src_name: Lithuanian - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: it - prefer_old: False - long_pair: lit-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.00618350924924016, -0.030149804428219795, -0.0074424440972507, 0.02967519499361515, 0.04113658145070076, 0.010985377244651318, -0.0016009937971830368, -0.0015151373809203506, -0.08170290291309357, 0.05551208183169365, 0.0214114710688591, -0.013824347406625748, -0.005430327728390694, 0.04...
Dayout/test
[]
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: - lt - pl tags: - translation license: apache-2.0 --- ### lit-pol * source group: Lithuanian * target group: Polish * OPUS readme: [lit-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md) * model: transformer-align * source language(s): lit * 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/lit-pol/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.pol | 53.6 | 0.721 | ### System Info: - hf_name: lit-pol - source_languages: lit - target_languages: pol - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'pl'] - src_constituents: {'lit'} - tgt_constituents: {'pol'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: pol - short_pair: lt-pl - chrF2_score: 0.721 - bleu: 53.6 - brevity_penalty: 0.9570000000000001 - ref_len: 10629.0 - src_name: Lithuanian - tgt_name: Polish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: pl - prefer_old: False - long_pair: lit-pol - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.0014564169105142355, -0.03220312297344208, -0.013904610648751259, 0.03698466345667839, 0.04832722991704941, 0.01352240052074194, -0.00527541060000658, -0.003498996375128627, -0.08887815475463867, 0.058943696320056915, 0.02108662761747837, -0.013800847344100475, -0.019069118425250053, 0.0...
Dazai/Ko
[]
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: - lt - ru tags: - translation license: apache-2.0 --- ### lit-rus * source group: Lithuanian * target group: Russian * OPUS readme: [lit-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md) * model: transformer-align * source language(s): lit * 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/lit-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.rus | 51.7 | 0.695 | ### System Info: - hf_name: lit-rus - source_languages: lit - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'ru'] - src_constituents: {'lit'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: rus - short_pair: lt-ru - chrF2_score: 0.695 - bleu: 51.7 - brevity_penalty: 0.982 - ref_len: 15395.0 - src_name: Lithuanian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: ru - prefer_old: False - long_pair: lit-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.002218781039118767, -0.03388259559869766, -0.015132693573832512, 0.035677600651979446, 0.05217627435922623, 0.022139307111501694, -0.01363276969641447, -0.007747459225356579, -0.09008162468671799, 0.056299839168787, 0.023275192826986313, -0.01707380823791027, -0.010057722218334675, 0.051...
Dazai/Ok
[]
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-lt-sv * source languages: lt * target languages: sv * OPUS readme: [lt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lt-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/lt-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lt-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lt.sv | 22.9 | 0.447 |
[ -0.013981100171804428, -0.028359930962324142, -0.004092107992619276, 0.037854231894016266, 0.029279641807079315, 0.018016036599874496, -0.0011272251140326262, -0.0016989929135888815, -0.04573706164956093, 0.05796737223863602, 0.011425339616835117, -0.015362105332314968, 0.008046194911003113,...
Dbluciferm3737/Idk
[]
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: - lt - tr tags: - translation license: apache-2.0 --- ### lit-tur * source group: Lithuanian * target group: Turkish * OPUS readme: [lit-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md) * model: transformer-align * source language(s): lit * target language(s): tur * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lit.tur | 35.8 | 0.648 | ### System Info: - hf_name: lit-tur - source_languages: lit - target_languages: tur - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-tur/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lt', 'tr'] - src_constituents: {'lit'} - tgt_constituents: {'tur'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-tur/opus-2020-06-17.test.txt - src_alpha3: lit - tgt_alpha3: tur - short_pair: lt-tr - chrF2_score: 0.648 - bleu: 35.8 - brevity_penalty: 0.927 - ref_len: 7700.0 - src_name: Lithuanian - tgt_name: Turkish - train_date: 2020-06-17 - src_alpha2: lt - tgt_alpha2: tr - prefer_old: False - long_pair: lit-tur - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ 0.01045322697609663, -0.024801691994071007, -0.015598943457007408, 0.044779952615499496, 0.04377354681491852, 0.025275301188230515, -0.007462114095687866, -0.010435921140015125, -0.08708065003156662, 0.06216135993599892, 0.013998731970787048, -0.02062092535197735, -0.011736353859305382, 0....
Dbluciferm3737/U
[]
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-lu-en * source languages: lu * target languages: en * OPUS readme: [lu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-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/lu-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lu.en | 35.7 | 0.517 |
[ -0.011619972065091133, -0.027434585615992546, -0.0072555458173155785, 0.038958121091127396, 0.030584746971726418, 0.021122701466083527, -0.0016269625630229712, -0.005253246519714594, -0.04604417085647583, 0.05467676743865013, 0.012278083711862564, -0.016901446506381035, 0.0017667595529928803...
Ddarkros/Test
[]
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-lu-es * source languages: lu * target languages: es * OPUS readme: [lu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-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/lu-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lu.es | 22.4 | 0.400 |
[ -0.01057394314557314, -0.027718354016542435, -0.004165814723819494, 0.03706369549036026, 0.03322513401508331, 0.019707651808857918, -0.0038659353740513325, -0.005223368294537067, -0.04473084211349487, 0.05192246660590172, 0.007344314828515053, -0.01877901330590248, 0.0022049942053854465, 0...
DeBERTa/deberta-v2-xxlarge
[]
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-lu-fi * source languages: lu * target languages: fi * OPUS readme: [lu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-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/lu-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lu.fi | 21.4 | 0.442 |
[ -0.012587940320372581, -0.03243047371506691, 0.00005105081436340697, 0.03779370337724686, 0.027498535811901093, 0.023830311372876167, 0.0005180335137993097, -0.006367930211126804, -0.04779135435819626, 0.05139734596014023, 0.014831227250397205, -0.01491157989948988, 0.0038283253088593483, ...
DeadBeast/emoBERTTamil
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:tamilmixsentiment", "transformers", "generated_from_trainer", "license:apache-2.0" ]
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 } } }
35
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lu-fr * source languages: lu * target languages: fr * OPUS readme: [lu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-fr/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lu.fr | 26.4 | 0.431 |
[ -0.01045215129852295, -0.029158104211091995, -0.012385067529976368, 0.03730958700180054, 0.027954857796430588, 0.02226307988166809, -0.005845044273883104, -0.010090402327477932, -0.04657936841249466, 0.05160247161984444, 0.011384687386453152, -0.013788127340376377, -0.003668039571493864, 0...
DeadBeast/korscm-mBERT
[ "pytorch", "bert", "text-classification", "korean", "dataset:Korean-Sarcasm", "transformers", "license:apache-2.0" ]
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 } } }
43
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lu-sv * source languages: lu * target languages: sv * OPUS readme: [lu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-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/lu-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lu-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lu.sv | 25.4 | 0.435 |
[ -0.010876958258450031, -0.027599791064858437, -0.004625160712748766, 0.03898685425519943, 0.03330206498503685, 0.01678381860256195, -0.002512482926249504, -0.003934682812541723, -0.04553449526429176, 0.05594098940491676, 0.011059325188398361, -0.017814993858337402, 0.008775210939347744, 0....
DeadBeast/marathi-roberta-base
[]
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
2020-04-29T13:11:01Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lua-en * source languages: lua * target languages: en * OPUS readme: [lua-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lua.en | 34.4 | 0.502 |
[ -0.011782094836235046, -0.03141443431377411, -0.006425601430237293, 0.03692400082945824, 0.028655841946601868, 0.02033894509077072, -0.0048553370870649815, -0.003584532532840967, -0.044618960469961166, 0.05297001078724861, 0.013372953049838543, -0.013591045513749123, 0.004441896919161081, ...
DeadBeast/mbert-base-cased-finetuned-bengali-fakenews
[ "pytorch", "bert", "text-classification", "bengali", "dataset:BanFakeNews", "transformers", "license:apache-2.0" ]
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 } } }
37
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lua-es * source languages: lua * target languages: es * OPUS readme: [lua-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lua.es | 23.1 | 0.409 |
[ -0.010959099046885967, -0.03270686790347099, -0.002911736024543643, 0.036790695041418076, 0.03148798644542694, 0.021825024858117104, -0.005575159098953009, -0.00302301486954093, -0.04430865868926048, 0.04990857094526291, 0.00958731584250927, -0.014501568861305714, 0.004004014190286398, 0.0...
DeadBeast/roberta-base-pretrained-mr-2
[ "pytorch", "jax", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "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-lua-fi * source languages: lua * target languages: fi * OPUS readme: [lua-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lua.fi | 23.5 | 0.450 |
[ -0.013671930879354477, -0.03687743470072746, 0.00032478434150107205, 0.0361625961959362, 0.027785934507846832, 0.023021500557661057, -0.0028433273546397686, -0.0054056826047599316, -0.04822109267115593, 0.04960786923766136, 0.01688121072947979, -0.011622607707977295, 0.005009693093597889, ...
DeadBeast/roberta-base-pretrained-mr
[ "jax", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "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 } } }
6
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lua-fr * source languages: lua * target languages: fr * OPUS readme: [lua-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lua.fr | 25.7 | 0.429 |
[ -0.010021195746958256, -0.03300975635647774, -0.012239827774465084, 0.03803331032395363, 0.028618233278393745, 0.02174868807196617, -0.010011443868279457, -0.0088992053642869, -0.04449950158596039, 0.05063188448548317, 0.01372931245714426, -0.0102841230109334, -0.0023085628636181355, 0.044...
Dean/summarsiation
[]
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-lua-sv * source languages: lua * target languages: sv * OPUS readme: [lua-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-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/lua-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lua-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lua.sv | 25.7 | 0.437 |
[ -0.011816492304205894, -0.0328538715839386, -0.0038814968429505825, 0.03778925538063049, 0.031070997938513756, 0.018084490671753883, -0.005219817627221346, -0.00225401041097939, -0.04467276856303215, 0.053817473351955414, 0.014451583847403526, -0.012678922154009342, 0.008788098581135273, 0...
DecafNosebleed/DialoGPT-small-ScaraBot
[ "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
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lue-en * source languages: lue * target languages: en * OPUS readme: [lue-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lue.en | 31.7 | 0.469 |
[ -0.010682646185159683, -0.023912250995635986, 0.0007262594299390912, 0.03625605255365372, 0.03174532577395439, 0.01735050044953823, -0.004744806792587042, -0.0043722656555473804, -0.044664520770311356, 0.047802578657865524, 0.00555036123842001, -0.016525188460946083, 0.001305309939198196, ...
DecafNosebleed/ScaraBot
[]
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-lue-es * source languages: lue * target languages: es * OPUS readme: [lue-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lue.es | 22.8 | 0.399 |
[ -0.008181278593838215, -0.026138626039028168, 0.001738768769428134, 0.035988252609968185, 0.03506079688668251, 0.018132284283638, -0.005034061148762703, -0.005645982921123505, -0.04333874583244324, 0.045675355941057205, 0.002774395514279604, -0.018250035122036934, 0.0009151449776254594, 0....
DecafNosebleed/scarabot-model
[ "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
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lue-fi * source languages: lue * target languages: fi * OPUS readme: [lue-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lue.fi | 22.1 | 0.427 |
[ -0.010124986991286278, -0.0283564031124115, 0.008337795734405518, 0.03528425469994545, 0.030762022361159325, 0.019081005826592445, -0.0016152907628566027, -0.005732825491577387, -0.04797201603651047, 0.045670781284570694, 0.009109079837799072, -0.015944242477416992, 0.0034691293258219957, ...
Declan/Breitbart_model_v1
[ "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 } } }
9
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lue-fr * source languages: lue * target languages: fr * OPUS readme: [lue-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lue.fr | 24.1 | 0.407 |
[ -0.008976472541689873, -0.027378028258681297, -0.0067366790026426315, 0.03756275400519371, 0.03105238452553749, 0.01945381611585617, -0.008165955543518066, -0.009158989414572716, -0.044750556349754333, 0.0478656105697155, 0.00768999382853508, -0.014004646800458431, -0.0038463908713310957, ...
Declan/Breitbart_model_v2
[ "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 } } }
7
2020-04-29T13:14:43Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lue-sv * source languages: lue * target languages: sv * OPUS readme: [lue-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lue-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/lue-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lue-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lue.sv | 23.7 | 0.412 |
[ -0.008289524354040623, -0.024107083678245544, 0.003847886109724641, 0.03761370852589607, 0.035065848380327225, 0.013450595550239086, -0.004554263781756163, -0.004487022757530212, -0.04351210221648216, 0.049466975033283234, 0.0038820537738502026, -0.018204549327492714, 0.006615220103412867, ...
Declan/Breitbart_model_v3
[ "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 } } }
7
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lun-en * source languages: lun * target languages: en * OPUS readme: [lun-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lun-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/lun-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lun-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lun-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lun.en | 30.6 | 0.466 |
[ -0.014236534014344215, -0.029222095385193825, -0.009650079533457756, 0.03961876034736633, 0.036819905042648315, 0.02187073975801468, 0.003435589838773012, -0.005952612496912479, -0.05004953220486641, 0.050400327891111374, 0.01026733685284853, -0.011685245670378208, 0.011958821676671505, 0....
Declan/Breitbart_model_v4
[ "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 } } }
3
2020-04-29T13:15:44Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-luo-en * source languages: luo * target languages: en * OPUS readme: [luo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/luo-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/luo-en/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.luo.en | 29.1 | 0.452 |
[ -0.018945038318634033, -0.026652179658412933, -0.0036652344278991222, 0.031585149466991425, 0.02881959080696106, 0.015860604122281075, 0.0032491772435605526, -0.0054335989989340305, -0.04794332757592201, 0.0491904616355896, 0.008442849852144718, -0.013238486833870411, 0.006592119112610817, ...
Declan/Breitbart_model_v5
[ "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lus-en * source languages: lus * target languages: en * OPUS readme: [lus-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lus.en | 37.0 | 0.534 |
[ -0.006146113853901625, -0.03166251257061958, -0.01089613325893879, 0.037797145545482635, 0.0321119986474514, 0.024159258231520653, -0.006785124074667692, -0.006428175140172243, -0.042796604335308075, 0.052573543041944504, 0.011687966994941235, -0.01856319233775139, 0.0041943700052797794, 0...
Declan/Breitbart_model_v6
[ "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 } } }
3
2020-04-29T13:16:09Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lus-es * source languages: lus * target languages: es * OPUS readme: [lus-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lus.es | 21.6 | 0.389 |
[ -0.005308421328663826, -0.03270202502608299, -0.007188964169472456, 0.037722863256931305, 0.03252410516142845, 0.02518411912024021, -0.007442834787070751, -0.005045922938734293, -0.0410437174141407, 0.050277359783649445, 0.006231282372027636, -0.018203748390078545, 0.0023667977657169104, 0...
Declan/Breitbart_model_v7
[ "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lus-fi * source languages: lus * target languages: fi * OPUS readme: [lus-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lus.fi | 22.6 | 0.441 |
[ -0.003961635287851095, -0.03751680627465248, -0.0018843194702640176, 0.03426403924822807, 0.028615083545446396, 0.025738991796970367, -0.004599698819220066, -0.007702679838985205, -0.048330504447221756, 0.0493084080517292, 0.014856146648526192, -0.016026949509978294, 0.0034188097342848778, ...
Declan/Breitbart_model_v8
[ "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 } } }
3
2020-04-29T13:16:46Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lus-fr * source languages: lus * target languages: fr * OPUS readme: [lus-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-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/lus-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lus.fr | 25.5 | 0.423 |
[ -0.006382507272064686, -0.03367272764444351, -0.013845870271325111, 0.037191715091466904, 0.029279058799147606, 0.024104639887809753, -0.00968596339225769, -0.009207677096128464, -0.04332251474261284, 0.05292971059679985, 0.010253654792904854, -0.013352949172258377, -0.003529922105371952, ...
Declan/Breitbart_modelv7
[]
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-lus-sv * source languages: lus * target languages: sv * OPUS readme: [lus-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lus-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lus.sv | 25.5 | 0.439 |
[ -0.0035226820036768913, -0.03209437057375908, -0.008406884968280792, 0.038382891565561295, 0.03291744366288185, 0.02068229392170906, -0.007941952906548977, -0.005988404154777527, -0.04217194765806198, 0.05334984138607979, 0.011143112555146217, -0.01871304214000702, 0.008714231662452221, 0....
Declan/CNN_model_v1
[ "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 } } }
7
2020-04-29T13:17:27Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lv-en * source languages: lv * target languages: en * OPUS readme: [lv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newsdev2017-enlv.lv.en | 29.9 | 0.587 | | newstest2017-enlv.lv.en | 22.1 | 0.526 | | Tatoeba.lv.en | 53.3 | 0.707 |
[ -0.013920645229518414, -0.030580265447497368, -0.007657566573470831, 0.0413818396627903, 0.03754853829741478, 0.020098024979233742, 0.0025336735416203737, -0.01034628413617611, -0.053588032722473145, 0.06513627618551254, 0.011831491254270077, -0.0133800208568573, 0.005436528939753771, 0.04...
Declan/CNN_model_v2
[ "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 } } }
5
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lv-es * source languages: lv * target languages: es * OPUS readme: [lv-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lv.es | 21.7 | 0.433 |
[ -0.013081501238048077, -0.028114480897784233, -0.0037546460516750813, 0.03591003641486168, 0.030186649411916733, 0.017205577343702316, -0.0019090276909992099, -0.005002068355679512, -0.041111450642347336, 0.05261322110891342, 0.005670212209224701, -0.016608592122793198, 0.004834780003875494,...
Declan/CNN_model_v3
[ "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 } } }
3
2020-04-29T13:17:58Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lv-fi * source languages: lv * target languages: fi * OPUS readme: [lv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lv.fi | 20.6 | 0.469 |
[ -0.014419334009289742, -0.03292922303080559, 0.004926248453557491, 0.032103173434734344, 0.02581506036221981, 0.0162072591483593, 0.002436512615531683, -0.005216340534389019, -0.049021948128938675, 0.05116951838135719, 0.01530294306576252, -0.013603807426989079, 0.005871594417840242, 0.044...
Declan/CNN_model_v4
[ "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-lv-fr * source languages: lv * target languages: fr * OPUS readme: [lv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-fr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lv.fr | 22.1 | 0.437 |
[ -0.011942898854613304, -0.02923429384827614, -0.01112582627683878, 0.03598347678780556, 0.027104610577225685, 0.01988326385617256, -0.00454671261832118, -0.009659134782850742, -0.04411501809954643, 0.05285457521677017, 0.011265911161899567, -0.01329885981976986, -0.0011458215303719044, 0.0...
Declan/CNN_model_v5
[ "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 } } }
3
null
--- language: - lv - ru tags: - translation license: apache-2.0 --- ### lav-rus * source group: Latvian * target group: Russian * OPUS readme: [lav-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lav-rus/README.md) * model: transformer-align * source language(s): lav * 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/lav-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.lav.rus | 53.3 | 0.702 | ### System Info: - hf_name: lav-rus - source_languages: lav - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lav-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['lv', 'ru'] - src_constituents: {'lav'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lav-rus/opus-2020-06-17.test.txt - src_alpha3: lav - tgt_alpha3: rus - short_pair: lv-ru - chrF2_score: 0.7020000000000001 - bleu: 53.3 - brevity_penalty: 0.9840000000000001 - ref_len: 1541.0 - src_name: Latvian - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: lv - tgt_alpha2: ru - prefer_old: False - long_pair: lav-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.0048470208421349525, -0.031240025535225868, -0.013723693788051605, 0.032408956438302994, 0.05604100972414017, 0.01207638531923294, -0.010876673273742199, -0.0013901160564273596, -0.08532340079545975, 0.05705247446894646, 0.015918128192424774, -0.02822699025273323, -0.0069129676558077335, ...
Declan/CNN_model_v6
[ "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 } } }
3
2020-04-29T13:18:35Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-lv-sv * source languages: lv * target languages: sv * OPUS readme: [lv-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-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/lv-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/lv-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.lv.sv | 22.0 | 0.444 |
[ -0.01439953874796629, -0.026947997510433197, -0.0029537717346102, 0.03638938441872597, 0.02975635416805744, 0.015351842157542706, -0.00011445309064583853, -0.0031199080403894186, -0.04336845502257347, 0.05640321597456932, 0.01081498246639967, -0.015401509590446949, 0.011949903331696987, 0....
Declan/CNN_model_v7
[]
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
2020-04-29T13:18:52Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mfe-en * source languages: mfe * target languages: en * OPUS readme: [mfe-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-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/mfe-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mfe.en | 39.9 | 0.552 |
[ -0.017856307327747345, -0.02793651446700096, -0.0010183976264670491, 0.034568656235933304, 0.024542877450585365, 0.030828554183244705, 0.0007363924523815513, -0.0038008338306099176, -0.04909026250243187, 0.053180184215307236, 0.00883057713508606, -0.011476038955152035, 0.004936689045280218, ...
Declan/CNN_model_v8
[ "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-mfe-es * source languages: mfe * target languages: es * OPUS readme: [mfe-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-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/mfe-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfe-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mfe.es | 24.0 | 0.418 |
[ -0.015549045987427235, -0.029607325792312622, 0.001065761549398303, 0.03431772440671921, 0.026309801265597343, 0.029881171882152557, -0.001237214426510036, -0.003580845659598708, -0.04795996844768524, 0.05226041376590729, 0.004708453547209501, -0.012387098744511604, 0.00536658288910985, 0....
Declan/ChicagoTribune_model_v1
[ "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-mfs-es * source languages: mfs * target languages: es * OPUS readme: [mfs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfs-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/mfs-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mfs-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mfs.es | 88.9 | 0.910 |
[ -0.012176960706710815, -0.03250971436500549, -0.0021520054433494806, 0.03500768914818764, 0.024750085547566414, 0.02477983757853508, -0.005313575267791748, 0.004884571768343449, -0.04473019763827324, 0.054261740297079086, 0.003533941227942705, -0.010707944631576538, 0.0013878241879865527, ...
Declan/ChicagoTribune_model_v2
[ "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 } } }
7
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-mg-en * source languages: mg * target languages: en * OPUS readme: [mg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-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/mg-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.mg.en | 27.6 | 0.522 | | Tatoeba.mg.en | 50.2 | 0.607 |
[ -0.014693427830934525, -0.025178108364343643, -0.004344732966274023, 0.03950698673725128, 0.03459249436855316, 0.026074720546603203, -0.002417666371911764, -0.0033933015074580908, -0.04165706783533096, 0.0616760328412056, 0.012387153692543507, -0.015599618665874004, 0.007110052742063999, 0...
Declan/ChicagoTribune_model_v3
[ "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 } } }
3
2020-04-29T13:19:42Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mg-es * source languages: mg * target languages: es * OPUS readme: [mg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-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/mg-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mg-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.mg.es | 23.1 | 0.480 |
[ -0.01320602186024189, -0.022896436974406242, -0.0027214691508561373, 0.037888266146183014, 0.03331920877099037, 0.027086861431598663, -0.004916147794574499, -0.002515509258955717, -0.04067503288388252, 0.05888577923178673, 0.008000316098332405, -0.013448295183479786, 0.011254468932747841, ...
Declan/ChicagoTribune_model_v4
[ "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 } } }
7
2020-04-29T13:19:56Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mh-en * source languages: mh * target languages: en * OPUS readme: [mh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mh.en | 36.5 | 0.505 |
[ -0.015692267566919327, -0.03070133365690708, -0.008965150453150272, 0.039378099143505096, 0.024368124082684517, 0.023118918761610985, -0.001285523409023881, -0.004130280110985041, -0.04734670743346214, 0.057397764176130295, 0.01432250440120697, -0.014609049074351788, 0.005528844427317381, ...
Declan/ChicagoTribune_model_v5
[ "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 } } }
7
2020-04-29T13:20:11Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mh-es * source languages: mh * target languages: es * OPUS readme: [mh-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mh.es | 23.6 | 0.407 |
[ -0.015844790264964104, -0.030982671305537224, -0.00594112416729331, 0.038144759833812714, 0.02526496909558773, 0.022369561716914177, -0.002750673331320286, -0.004002269823104143, -0.04527232423424721, 0.05457495525479317, 0.007370199076831341, -0.01352982223033905, 0.0054372623562812805, 0...
Declan/ChicagoTribune_model_v6
[ "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 } } }
5
2020-04-29T13:20:26Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mh-fi * source languages: mh * target languages: fi * OPUS readme: [mh-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mh-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/mh-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mh-fi/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mh.fi | 23.3 | 0.442 |
[ -0.018166551366448402, -0.037061791867017746, -0.00044912879820913076, 0.037571411579847336, 0.019590456038713455, 0.024808360263705254, 0.001788209076039493, -0.006458959076553583, -0.050689686089754105, 0.05244268849492073, 0.014823001809418201, -0.011222495697438717, 0.007781673688441515,...
Declan/ChicagoTribune_model_v7
[ "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 } } }
7
2020-04-29T13:20:47Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mk-en * source languages: mk * target languages: en * OPUS readme: [mk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.mk.en | 59.8 | 0.720 |
[ -0.014602252282202244, -0.03139706701040268, -0.0012897856067866087, 0.035062920302152634, 0.03345629200339317, 0.02175762876868248, 0.00003231841037631966, -0.0029557642992585897, -0.05261274427175522, 0.05820002034306526, 0.009252365678548813, -0.017858043313026428, 0.006757911294698715, ...
Declan/ChicagoTribune_model_v8
[ "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 } } }
7
null
--- language: - mk - es tags: - translation license: apache-2.0 --- ### mkd-spa * source group: Macedonian * target group: Spanish * OPUS readme: [mkd-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkd-spa/README.md) * model: transformer-align * source language(s): mkd * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.mkd.spa | 56.5 | 0.717 | ### System Info: - hf_name: mkd-spa - source_languages: mkd - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkd-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['mk', 'es'] - src_constituents: {'mkd'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mkd-spa/opus-2020-06-17.test.txt - src_alpha3: mkd - tgt_alpha3: spa - short_pair: mk-es - chrF2_score: 0.7170000000000001 - bleu: 56.5 - brevity_penalty: 0.997 - ref_len: 1121.0 - src_name: Macedonian - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: mk - tgt_alpha2: es - prefer_old: False - long_pair: mkd-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.002862384309992194, -0.03163512423634529, -0.011131596751511097, 0.0357774943113327, 0.0481913760304451, 0.018998578190803528, -0.00808355025947094, 0.012131743133068085, -0.06606487929821014, 0.060139089822769165, -0.006170010194182396, -0.026526404544711113, -0.009303838945925236, 0.0...
Declan/FoxNews_model_v1
[ "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 } } }
3
2020-04-29T13:21:15Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mk-fi * source languages: mk * target languages: fi * OPUS readme: [mk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-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/mk-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fi/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mk.fi | 25.9 | 0.498 |
[ -0.01764015480875969, -0.035072945058345795, 0.004856615327298641, 0.0308323223143816, 0.024940423667430878, 0.022165359929203987, 0.0053276242688298225, -0.0017394872847944498, -0.054225821048021317, 0.05308620631694794, 0.012857484631240368, -0.015767529606819153, 0.00982504803687334, 0....
Declan/FoxNews_model_v2
[ "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 } } }
3
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-mk-fr * source languages: mk * target languages: fr * OPUS readme: [mk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mk-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mk-fr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.mk.fr | 22.3 | 0.492 |
[ -0.014554809778928757, -0.027959153056144714, -0.012398597784340382, 0.034199848771095276, 0.028789428994059563, 0.021836228668689728, -0.003945527598261833, -0.006775472778826952, -0.04649351164698601, 0.05854768678545952, 0.008759113028645515, -0.015128999948501587, 0.0048324656672775745, ...
Declan/FoxNews_model_v3
[ "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 } } }
7
2020-08-19T00:30:31Z
--- language: - vi - km - mkh - en tags: - translation license: apache-2.0 --- ### mkh-eng * source group: Mon-Khmer languages * target group: English * OPUS readme: [mkh-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkh-eng/README.md) * model: transformer * source language(s): kha khm khm_Latn mnw vie vie_Hani * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kha-eng.kha.eng | 0.5 | 0.108 | | Tatoeba-test.khm-eng.khm.eng | 8.5 | 0.206 | | Tatoeba-test.mnw-eng.mnw.eng | 0.7 | 0.110 | | Tatoeba-test.multi.eng | 24.5 | 0.407 | | Tatoeba-test.vie-eng.vie.eng | 34.4 | 0.529 | ### System Info: - hf_name: mkh-eng - source_languages: mkh - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/mkh-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['vi', 'km', 'mkh', 'en'] - src_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/mkh-eng/opus-2020-07-27.test.txt - src_alpha3: mkh - tgt_alpha3: eng - short_pair: mkh-en - chrF2_score: 0.40700000000000003 - bleu: 24.5 - brevity_penalty: 1.0 - ref_len: 33985.0 - src_name: Mon-Khmer languages - tgt_name: English - train_date: 2020-07-27 - src_alpha2: mkh - tgt_alpha2: en - prefer_old: False - long_pair: mkh-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.011822724714875221, -0.03341260924935341, -0.004721021745353937, 0.03701174631714821, 0.03713100031018257, 0.01687653735280037, -0.004892217926681042, -0.004935661796480417, -0.0743013247847557, 0.050096966326236725, 0.01469298917800188, -0.03962206095457077, 0.0021717757917940617, 0.04...
Declan/FoxNews_model_v4
[ "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 } } }
7
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-ml-en * source languages: ml * target languages: en * OPUS readme: [ml-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ml-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-04-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.zip) * test set translations: [opus-2020-04-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.test.txt) * test set scores: [opus-2020-04-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ml.en | 42.7 | 0.605 |
[ -0.013356822542846203, -0.030903713777661324, -0.0037854211404919624, 0.03768610581755638, 0.031017299741506577, 0.02169126272201538, -0.0031171224545687437, -0.004889084491878748, -0.04733773693442345, 0.05577877163887024, 0.011987924575805664, -0.018122483044862747, 0.002197060501202941, ...
Declan/FoxNews_model_v5
[ "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 } } }
7
2020-04-29T13:22:20Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mos-en * source languages: mos * target languages: en * OPUS readme: [mos-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mos-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.zip) * test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.test.txt) * test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mos-en/opus-2020-01-21.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mos.en | 26.1 | 0.408 |
[ -0.01343178004026413, -0.03125299885869026, -0.007542227860540152, 0.036508314311504364, 0.029308220371603966, 0.023921171203255653, 0.0004999140510335565, -0.003528052940964699, -0.04990942403674126, 0.057149529457092285, 0.0170248132199049, -0.0176119115203619, 0.007213583681732416, 0.05...
Declan/FoxNews_model_v6
[ "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 } } }
3
2020-04-29T13:22:33Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mr-en * source languages: mr * target languages: en * OPUS readme: [mr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mr-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/mr-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mr-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.mr.en | 38.2 | 0.515 |
[ -0.015030431561172009, -0.02404240518808365, -0.0009397558751516044, 0.042672764509916306, 0.03502136096358299, 0.025381775572896004, -0.0004599112435244024, -0.0037036314606666565, -0.051619257777929306, 0.05698466673493385, 0.011633378453552723, -0.01797795668244362, 0.0037553266156464815,...
Declan/FoxNews_model_v8
[ "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 } } }
3
2020-08-19T00:30:35Z
--- language: - ms - de tags: - translation license: apache-2.0 --- ### msa-deu * source group: Malay (macrolanguage) * target group: German * OPUS readme: [msa-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md) * model: transformer-align * source language(s): ind zsm_Latn * 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/msa-deu/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa.deu | 36.5 | 0.584 | ### System Info: - hf_name: msa-deu - source_languages: msa - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'de'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: deu - short_pair: ms-de - chrF2_score: 0.584 - bleu: 36.5 - brevity_penalty: 0.966 - ref_len: 4198.0 - src_name: Malay (macrolanguage) - tgt_name: German - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: de - prefer_old: False - long_pair: msa-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.011653749272227287, -0.03815403953194618, -0.010312245227396488, 0.03816569969058037, 0.05042773857712746, 0.03254368528723717, -0.005707935430109501, 0.0016699156258255243, -0.061264391988515854, 0.06505579501390457, 0.014473693445324898, -0.02694021351635456, -0.0061483061872422695, 0...
Declan/HuffPost_model_v1
[ "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 } } }
3
2020-08-19T00:30:38Z
--- language: - ms - fr tags: - translation license: apache-2.0 --- ### msa-fra * source group: Malay (macrolanguage) * target group: French * OPUS readme: [msa-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-fra/README.md) * model: transformer-align * source language(s): ind zsm_Latn * target language(s): fra * 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/msa-fra/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa.fra | 43.7 | 0.609 | ### System Info: - hf_name: msa-fra - source_languages: msa - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'fr'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-fra/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: fra - short_pair: ms-fr - chrF2_score: 0.609 - bleu: 43.7 - brevity_penalty: 0.9740000000000001 - ref_len: 7808.0 - src_name: Malay (macrolanguage) - tgt_name: French - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: fr - prefer_old: False - long_pair: msa-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.009070946834981441, -0.040981169790029526, -0.013125663623213768, 0.03443723917007446, 0.05171976983547211, 0.02309873327612877, -0.012281865812838078, 0.00036704426747746766, -0.055949147790670395, 0.058811020106077194, 0.014172423630952835, -0.023158149793744087, -0.010452366434037685, ...
Declan/HuffPost_model_v2
[ "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 } } }
3
null
--- language: - ms - it tags: - translation license: apache-2.0 --- ### msa-ita * source group: Malay (macrolanguage) * target group: Italian * OPUS readme: [msa-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-ita/README.md) * model: transformer-align * source language(s): ind zsm_Latn * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa.ita | 37.8 | 0.613 | ### System Info: - hf_name: msa-ita - source_languages: msa - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms', 'it'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-ita/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: ita - short_pair: ms-it - chrF2_score: 0.613 - bleu: 37.8 - brevity_penalty: 0.995 - ref_len: 2758.0 - src_name: Malay (macrolanguage) - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: it - prefer_old: False - long_pair: msa-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.0054326108656823635, -0.03416084498167038, -0.008478955365717411, 0.031303614377975464, 0.04633035138249397, 0.018579406663775444, 0.002516703214496374, 0.006728423293679953, -0.0574437640607357, 0.05952795222401619, 0.020771274343132973, -0.024586239829659462, -0.0009829680202528834, 0...
Declan/HuffPost_model_v3
[ "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 } } }
3
2020-08-19T00:30:46Z
--- language: - ms tags: - translation license: apache-2.0 --- ### msa-msa * source group: Malay (macrolanguage) * target group: Malay (macrolanguage) * OPUS readme: [msa-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md) * model: transformer-align * source language(s): ind max_Latn min zlm_Latn zsm_Latn * target language(s): ind max_Latn min zlm_Latn zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa.msa | 18.6 | 0.418 | ### System Info: - hf_name: msa-msa - source_languages: msa - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ms'] - src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-msa/opus-2020-06-17.test.txt - src_alpha3: msa - tgt_alpha3: msa - short_pair: ms-ms - chrF2_score: 0.418 - bleu: 18.6 - brevity_penalty: 1.0 - ref_len: 6029.0 - src_name: Malay (macrolanguage) - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: ms - tgt_alpha2: ms - prefer_old: False - long_pair: msa-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
[ -0.007210175506770611, -0.03881572559475899, -0.01330501213669777, 0.043591391295194626, 0.05599990859627724, 0.025851991027593613, -0.007355981506407261, 0.0007338603027164936, -0.048031266778707504, 0.06659965962171555, 0.021387875080108643, -0.02928985096514225, 0.004810103680938482, 0....
Declan/HuffPost_model_v4
[ "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 } } }
3
2020-04-29T13:22:52Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mt-en * source languages: mt * target languages: en * OPUS readme: [mt-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-en/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mt.en | 49.0 | 0.655 | | Tatoeba.mt.en | 53.3 | 0.685 |
[ -0.015100809745490551, -0.029546644538640976, -0.005478519015014172, 0.037873510271310806, 0.030444957315921783, 0.02452397160232067, -0.001107515417970717, -0.004961015656590462, -0.049838390201330185, 0.05620437487959862, 0.010723662562668324, -0.014895414002239704, 0.0025923741050064564, ...
Declan/HuffPost_model_v5
[ "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 } } }
3
2020-04-29T13:23:05Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mt-es * source languages: mt * target languages: es * OPUS readme: [mt-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-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/mt-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mt.es | 27.1 | 0.471 |
[ -0.014094186015427113, -0.027638191357254982, -0.003418998559936881, 0.03664090856909752, 0.02832680009305477, 0.02442292310297489, -0.0035538088995963335, -0.002676797565072775, -0.04522978141903877, 0.054880622774362564, 0.005237951874732971, -0.014704379253089428, 0.00574214942753315, 0...
Declan/HuffPost_model_v6
[ "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 } } }
9
null
--- tags: - translation license: apache-2.0 --- ### opus-mt-mt-fi * source languages: mt * target languages: fi * OPUS readme: [mt-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-fi/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fi/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fi/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mt.fi | 24.9 | 0.509 |
[ -0.016839923337101936, -0.03424283117055893, 0.001180071383714676, 0.03612200543284416, 0.023074829950928688, 0.026751546189188957, 0.002358576748520136, -0.005788360256701708, -0.05168743059039116, 0.05152106285095215, 0.015202948823571205, -0.01152083557099104, 0.008881785906851292, 0.04...
Declan/HuffPost_model_v8
[ "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 } } }
7
2020-04-29T13:23:35Z
--- tags: - translation license: apache-2.0 --- ### opus-mt-mt-fr * source languages: mt * target languages: fr * OPUS readme: [mt-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/mt-fr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.mt.fr | 27.2 | 0.475 |
[ -0.013175539672374725, -0.029609043151140213, -0.011860162019729614, 0.03703465685248375, 0.02681283839046955, 0.02409401535987854, -0.005866142921149731, -0.00871194526553154, -0.04661763459444046, 0.053840842097997665, 0.010926561430096626, -0.012069948948919773, -0.0016360045410692692, ...