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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
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
null
--- 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 |
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
null
--- 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 |
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 |
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 |
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 |
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
null
--- 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 |
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 |
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
null
--- 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 |
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
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
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
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
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
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
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 |
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 |
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 |
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 |
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 |
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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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
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--- 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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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
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
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 |
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
Dayout/test
[]
null
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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
Dazai/Ko
[]
null
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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
Dazai/Ok
[]
null
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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 |
Dbluciferm3737/Idk
[]
null
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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
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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
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 |
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 |
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
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 |
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 |
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 |
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
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
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
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
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 |
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 |
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 |
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 |