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Helsinki-NLP/opus-mt-fr-fj
2021-01-18T08:43:14.000Z
[ "pytorch", "marian", "seq2seq", "fr", "fj", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-fj * source languages: fr * target languages: fj * OPUS readme: [fr-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-fj/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.fj | 27.4 | 0.487 |
Helsinki-NLP/opus-mt-fr-gaa
2021-01-18T08:43:19.000Z
[ "pytorch", "marian", "seq2seq", "fr", "gaa", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-fr-gaa * source languages: fr * target languages: gaa * OPUS readme: [fr-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gaa/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.gaa | 27.8 | 0.473 |
Helsinki-NLP/opus-mt-fr-gil
2021-01-18T08:43:25.000Z
[ "pytorch", "marian", "seq2seq", "fr", "gil", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
51
transformers
--- tags: - translation --- ### opus-mt-fr-gil * source languages: fr * target languages: gil * OPUS readme: [fr-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.gil | 27.9 | 0.499 |
Helsinki-NLP/opus-mt-fr-guw
2021-01-18T08:43:30.000Z
[ "pytorch", "marian", "seq2seq", "fr", "guw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
126
transformers
--- tags: - translation --- ### opus-mt-fr-guw * source languages: fr * target languages: guw * OPUS readme: [fr-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-guw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.guw | 31.4 | 0.505 |
Helsinki-NLP/opus-mt-fr-ha
2021-01-18T08:43:36.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ha", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
40
transformers
--- tags: - translation --- ### opus-mt-fr-ha * source languages: fr * target languages: ha * OPUS readme: [fr-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ha/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ha | 24.4 | 0.447 |
Helsinki-NLP/opus-mt-fr-he
2021-01-18T08:43:43.000Z
[ "pytorch", "marian", "seq2seq", "fr", "he", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "special_tokens_map.json", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- language: - fr - he tags: - translation license: apache-2.0 --- ### fr-he * source group: French * target group: Hebrew * OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md) * model: transformer * source language(s): fra * target language(s): heb * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fra.heb | 39.2 | 0.598 | ### System Info: - hf_name: fr-he - source_languages: fra - target_languages: heb - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'he'] - src_constituents: ('French', {'fra'}) - tgt_constituents: ('Hebrew', {'heb'}) - src_multilingual: False - tgt_multilingual: False - long_pair: fra-heb - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt - src_alpha3: fra - tgt_alpha3: heb - chrF2_score: 0.598 - bleu: 39.2 - brevity_penalty: 1.0 - ref_len: 20655.0 - src_name: French - tgt_name: Hebrew - train_date: 2020-12-10 00:00:00 - src_alpha2: fr - tgt_alpha2: he - prefer_old: False - short_pair: fr-he - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-16:02
Helsinki-NLP/opus-mt-fr-hil
2021-01-18T08:43:48.000Z
[ "pytorch", "marian", "seq2seq", "fr", "hil", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-fr-hil * source languages: fr * target languages: hil * OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hil/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.hil | 34.7 | 0.559 |
Helsinki-NLP/opus-mt-fr-ho
2021-01-18T08:43:53.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ho", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
40
transformers
--- tags: - translation --- ### opus-mt-fr-ho * source languages: fr * target languages: ho * OPUS readme: [fr-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ho/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ho | 25.4 | 0.480 |
Helsinki-NLP/opus-mt-fr-hr
2021-01-18T08:43:59.000Z
[ "pytorch", "marian", "seq2seq", "fr", "hr", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
88
transformers
--- tags: - translation --- ### opus-mt-fr-hr * source languages: fr * target languages: hr * OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.hr | 20.7 | 0.442 |
Helsinki-NLP/opus-mt-fr-ht
2021-01-18T08:44:03.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ht", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
41
transformers
--- tags: - translation --- ### opus-mt-fr-ht * source languages: fr * target languages: ht * OPUS readme: [fr-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ht/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ht | 29.2 | 0.461 |
Helsinki-NLP/opus-mt-fr-hu
2021-01-18T08:44:08.000Z
[ "pytorch", "marian", "seq2seq", "fr", "hu", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
48
transformers
--- tags: - translation --- ### opus-mt-fr-hu * source languages: fr * target languages: hu * OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.hu | 41.3 | 0.629 |
Helsinki-NLP/opus-mt-fr-id
2021-01-18T08:44:14.000Z
[ "pytorch", "marian", "seq2seq", "fr", "id", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
47
transformers
--- tags: - translation --- ### opus-mt-fr-id * source languages: fr * target languages: id * OPUS readme: [fr-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-id/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.id | 37.2 | 0.636 |
Helsinki-NLP/opus-mt-fr-ig
2021-01-18T08:44:19.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ig", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-ig * source languages: fr * target languages: ig * OPUS readme: [fr-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ig/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ig | 29.0 | 0.445 |
Helsinki-NLP/opus-mt-fr-ilo
2021-01-18T08:44:25.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ilo", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
38
transformers
--- tags: - translation --- ### opus-mt-fr-ilo * source languages: fr * target languages: ilo * OPUS readme: [fr-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ilo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ilo | 30.6 | 0.528 |
Helsinki-NLP/opus-mt-fr-iso
2021-01-18T08:44:31.000Z
[ "pytorch", "marian", "seq2seq", "fr", "iso", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-iso * source languages: fr * target languages: iso * OPUS readme: [fr-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-iso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.iso | 26.7 | 0.429 |
Helsinki-NLP/opus-mt-fr-kg
2021-01-18T08:44:36.000Z
[ "pytorch", "marian", "seq2seq", "fr", "kg", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-fr-kg * source languages: fr * target languages: kg * OPUS readme: [fr-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.kg | 30.4 | 0.523 |
Helsinki-NLP/opus-mt-fr-kqn
2021-01-18T08:44:41.000Z
[ "pytorch", "marian", "seq2seq", "fr", "kqn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
60
transformers
--- tags: - translation --- ### opus-mt-fr-kqn * source languages: fr * target languages: kqn * OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.kqn | 23.3 | 0.469 |
Helsinki-NLP/opus-mt-fr-kwy
2021-01-18T08:44:47.000Z
[ "pytorch", "marian", "seq2seq", "fr", "kwy", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
38
transformers
--- tags: - translation --- ### opus-mt-fr-kwy * source languages: fr * target languages: kwy * OPUS readme: [fr-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kwy/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.kwy | 22.5 | 0.428 |
Helsinki-NLP/opus-mt-fr-lg
2021-01-18T08:44:52.000Z
[ "pytorch", "marian", "seq2seq", "fr", "lg", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
30
transformers
--- tags: - translation --- ### opus-mt-fr-lg * source languages: fr * target languages: lg * OPUS readme: [fr-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.lg | 21.7 | 0.454 |
Helsinki-NLP/opus-mt-fr-ln
2021-01-18T08:44:57.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ln", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-fr-ln * source languages: fr * target languages: ln * OPUS readme: [fr-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ln/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ln | 30.5 | 0.527 |
Helsinki-NLP/opus-mt-fr-loz
2021-01-18T08:45:03.000Z
[ "pytorch", "marian", "seq2seq", "fr", "loz", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
45
transformers
--- tags: - translation --- ### opus-mt-fr-loz * source languages: fr * target languages: loz * OPUS readme: [fr-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-loz/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.loz | 30.0 | 0.498 |
Helsinki-NLP/opus-mt-fr-lu
2021-01-18T08:45:08.000Z
[ "pytorch", "marian", "seq2seq", "fr", "lu", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
43
transformers
--- tags: - translation --- ### opus-mt-fr-lu * source languages: fr * target languages: lu * OPUS readme: [fr-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.lu | 25.5 | 0.471 |
Helsinki-NLP/opus-mt-fr-lua
2021-01-18T08:45:13.000Z
[ "pytorch", "marian", "seq2seq", "fr", "lua", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
42
transformers
--- tags: - translation --- ### opus-mt-fr-lua * source languages: fr * target languages: lua * OPUS readme: [fr-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lua/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.lua | 27.3 | 0.496 |
Helsinki-NLP/opus-mt-fr-lue
2021-01-18T08:45:19.000Z
[ "pytorch", "marian", "seq2seq", "fr", "lue", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
48
transformers
--- tags: - translation --- ### opus-mt-fr-lue * source languages: fr * target languages: lue * OPUS readme: [fr-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lue/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.lue | 23.1 | 0.485 |
Helsinki-NLP/opus-mt-fr-lus
2021-01-18T08:45:24.000Z
[ "pytorch", "marian", "seq2seq", "fr", "lus", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
61
transformers
--- tags: - translation --- ### opus-mt-fr-lus * source languages: fr * target languages: lus * OPUS readme: [fr-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lus/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.lus | 25.5 | 0.455 |
Helsinki-NLP/opus-mt-fr-mfe
2021-01-18T08:45:29.000Z
[ "pytorch", "marian", "seq2seq", "fr", "mfe", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
45
transformers
--- tags: - translation --- ### opus-mt-fr-mfe * source languages: fr * target languages: mfe * OPUS readme: [fr-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mfe/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.mfe | 26.1 | 0.451 |
Helsinki-NLP/opus-mt-fr-mh
2021-01-18T08:45:34.000Z
[ "pytorch", "marian", "seq2seq", "fr", "mh", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-fr-mh * source languages: fr * target languages: mh * OPUS readme: [fr-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.mh | 21.7 | 0.399 |
Helsinki-NLP/opus-mt-fr-mos
2021-01-18T08:45:39.000Z
[ "pytorch", "marian", "seq2seq", "fr", "mos", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-fr-mos * source languages: fr * target languages: mos * OPUS readme: [fr-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mos/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.mos | 21.1 | 0.353 |
Helsinki-NLP/opus-mt-fr-ms
2021-01-18T08:45:45.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ms", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- language: - fr - ms tags: - translation license: apache-2.0 --- ### fra-msa * source group: French * target group: Malay (macrolanguage) * OPUS readme: [fra-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md) * model: transformer-align * source language(s): fra * target language(s): ind zsm_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fra.msa | 35.3 | 0.617 | ### System Info: - hf_name: fra-msa - source_languages: fra - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'ms'] - src_constituents: {'fra'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: msa - short_pair: fr-ms - chrF2_score: 0.617 - bleu: 35.3 - brevity_penalty: 0.978 - ref_len: 6696.0 - src_name: French - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: ms - prefer_old: False - long_pair: fra-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fr-mt
2021-01-18T08:45:50.000Z
[ "pytorch", "marian", "seq2seq", "fr", "mt", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-fr-mt * source languages: fr * target languages: mt * OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.mt | 28.7 | 0.466 |
Helsinki-NLP/opus-mt-fr-niu
2021-01-18T08:45:56.000Z
[ "pytorch", "marian", "seq2seq", "fr", "niu", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- tags: - translation --- ### opus-mt-fr-niu * source languages: fr * target languages: niu * OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.niu | 34.5 | 0.537 |
Helsinki-NLP/opus-mt-fr-no
2021-01-18T08:45:59.000Z
[ "pytorch", "marian", "seq2seq", "fr", "no", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
189
transformers
--- language: - fr - no tags: - translation license: apache-2.0 --- ### fra-nor * source group: French * target group: Norwegian * OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md) * model: transformer-align * source language(s): fra * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fra.nor | 36.1 | 0.555 | ### System Info: - hf_name: fra-nor - source_languages: fra - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'no'] - src_constituents: {'fra'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: nor - short_pair: fr-no - chrF2_score: 0.555 - bleu: 36.1 - brevity_penalty: 0.981 - ref_len: 3089.0 - src_name: French - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: no - prefer_old: False - long_pair: fra-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fr-nso
2021-01-18T08:46:05.000Z
[ "pytorch", "marian", "seq2seq", "fr", "nso", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
68
transformers
--- tags: - translation --- ### opus-mt-fr-nso * source languages: fr * target languages: nso * OPUS readme: [fr-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-nso/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.nso | 33.3 | 0.527 |
Helsinki-NLP/opus-mt-fr-ny
2021-01-18T08:46:09.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ny", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-fr-ny * source languages: fr * target languages: ny * OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ny/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ny | 23.2 | 0.481 |
Helsinki-NLP/opus-mt-fr-pag
2021-01-18T08:46:15.000Z
[ "pytorch", "marian", "seq2seq", "fr", "pag", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
42
transformers
--- tags: - translation --- ### opus-mt-fr-pag * source languages: fr * target languages: pag * OPUS readme: [fr-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pag/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.pag | 27.0 | 0.486 |
Helsinki-NLP/opus-mt-fr-pap
2021-01-18T08:46:20.000Z
[ "pytorch", "marian", "seq2seq", "fr", "pap", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
59
transformers
--- tags: - translation --- ### opus-mt-fr-pap * source languages: fr * target languages: pap * OPUS readme: [fr-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.pap | 27.8 | 0.464 |
Helsinki-NLP/opus-mt-fr-pis
2021-01-18T08:46:24.000Z
[ "pytorch", "marian", "seq2seq", "fr", "pis", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
44
transformers
--- tags: - translation --- ### opus-mt-fr-pis * source languages: fr * target languages: pis * OPUS readme: [fr-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pis/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.pis | 29.0 | 0.486 |
Helsinki-NLP/opus-mt-fr-pl
2021-01-18T08:46:29.000Z
[ "pytorch", "marian", "seq2seq", "fr", "pl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
140
transformers
--- tags: - translation --- ### opus-mt-fr-pl * source languages: fr * target languages: pl * OPUS readme: [fr-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.pl | 40.7 | 0.625 |
Helsinki-NLP/opus-mt-fr-pon
2021-01-18T08:46:34.000Z
[ "pytorch", "marian", "seq2seq", "fr", "pon", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
59
transformers
--- tags: - translation --- ### opus-mt-fr-pon * source languages: fr * target languages: pon * OPUS readme: [fr-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pon/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.pon | 23.9 | 0.458 |
Helsinki-NLP/opus-mt-fr-rnd
2021-01-18T08:46:39.000Z
[ "pytorch", "marian", "seq2seq", "fr", "rnd", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
58
transformers
--- tags: - translation --- ### opus-mt-fr-rnd * source languages: fr * target languages: rnd * OPUS readme: [fr-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rnd/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.rnd | 21.8 | 0.431 |
Helsinki-NLP/opus-mt-fr-ro
2021-01-18T08:46:44.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ro", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
129
transformers
--- tags: - translation --- ### opus-mt-fr-ro * source languages: fr * target languages: ro * OPUS readme: [fr-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ro/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.ro | 42.1 | 0.640 |
Helsinki-NLP/opus-mt-fr-ru
2021-01-18T08:46:51.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ru", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
148
transformers
--- tags: - translation --- ### opus-mt-fr-ru * source languages: fr * target languages: ru * OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.ru | 37.9 | 0.585 |
Helsinki-NLP/opus-mt-fr-run
2021-01-18T08:46:56.000Z
[ "pytorch", "marian", "seq2seq", "fr", "run", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-fr-run * source languages: fr * target languages: run * OPUS readme: [fr-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-run/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.run | 23.8 | 0.482 |
Helsinki-NLP/opus-mt-fr-rw
2021-01-18T08:47:01.000Z
[ "pytorch", "marian", "seq2seq", "fr", "rw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-fr-rw * source languages: fr * target languages: rw * OPUS readme: [fr-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.rw | 25.5 | 0.483 |
Helsinki-NLP/opus-mt-fr-sg
2021-01-18T08:47:07.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sg", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
76
transformers
--- tags: - translation --- ### opus-mt-fr-sg * source languages: fr * target languages: sg * OPUS readme: [fr-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sg/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.sg | 29.7 | 0.473 |
Helsinki-NLP/opus-mt-fr-sk
2021-01-18T08:47:12.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sk", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
118
transformers
--- tags: - translation --- ### opus-mt-fr-sk * source languages: fr * target languages: sk * OPUS readme: [fr-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.sk | 24.9 | 0.456 |
Helsinki-NLP/opus-mt-fr-sl
2021-01-18T08:47:18.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
63
transformers
--- tags: - translation --- ### opus-mt-fr-sl * source languages: fr * target languages: sl * OPUS readme: [fr-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.sl | 20.1 | 0.433 |
Helsinki-NLP/opus-mt-fr-sm
2021-01-18T08:47:24.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sm", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
46
transformers
--- tags: - translation --- ### opus-mt-fr-sm * source languages: fr * target languages: sm * OPUS readme: [fr-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sm/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.sm | 28.8 | 0.474 |
Helsinki-NLP/opus-mt-fr-sn
2021-01-18T08:47:29.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-fr-sn * source languages: fr * target languages: sn * OPUS readme: [fr-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.sn | 23.4 | 0.507 |
Helsinki-NLP/opus-mt-fr-srn
2021-01-18T08:47:34.000Z
[ "pytorch", "marian", "seq2seq", "fr", "srn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
44
transformers
--- tags: - translation --- ### opus-mt-fr-srn * source languages: fr * target languages: srn * OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.srn | 27.4 | 0.459 |
Helsinki-NLP/opus-mt-fr-st
2021-01-18T08:47:39.000Z
[ "pytorch", "marian", "seq2seq", "fr", "st", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-fr-st * source languages: fr * target languages: st * OPUS readme: [fr-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-st/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.st | 34.6 | 0.540 |
Helsinki-NLP/opus-mt-fr-sv
2021-01-18T08:47:45.000Z
[ "pytorch", "marian", "seq2seq", "fr", "sv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-sv * source languages: fr * target languages: sv * OPUS readme: [fr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.sv | 60.1 | 0.744 |
Helsinki-NLP/opus-mt-fr-swc
2021-01-18T08:47:50.000Z
[ "pytorch", "marian", "seq2seq", "fr", "swc", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
59
transformers
--- tags: - translation --- ### opus-mt-fr-swc * source languages: fr * target languages: swc * OPUS readme: [fr-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-swc/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.swc | 28.2 | 0.499 |
Helsinki-NLP/opus-mt-fr-tiv
2021-01-18T08:47:56.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tiv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
71
transformers
--- tags: - translation --- ### opus-mt-fr-tiv * source languages: fr * target languages: tiv * OPUS readme: [fr-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tiv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tiv | 23.5 | 0.406 |
Helsinki-NLP/opus-mt-fr-tl
2021-01-18T08:48:07.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tl", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
38
transformers
--- language: - fr - tl tags: - translation license: apache-2.0 --- ### fra-tgl * source group: French * target group: Tagalog * OPUS readme: [fra-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md) * model: transformer-align * source language(s): fra * target language(s): tgl_Latn * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fra.tgl | 24.1 | 0.536 | ### System Info: - hf_name: fra-tgl - source_languages: fra - target_languages: tgl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'tl'] - src_constituents: {'fra'} - tgt_constituents: {'tgl_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: tgl - short_pair: fr-tl - chrF2_score: 0.536 - bleu: 24.1 - brevity_penalty: 1.0 - ref_len: 5778.0 - src_name: French - tgt_name: Tagalog - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: tl - prefer_old: False - long_pair: fra-tgl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fr-tll
2021-01-18T08:48:14.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tll", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-fr-tll * source languages: fr * target languages: tll * OPUS readme: [fr-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tll/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tll | 24.6 | 0.467 |
Helsinki-NLP/opus-mt-fr-tn
2021-01-18T08:48:21.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tn", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
47
transformers
--- tags: - translation --- ### opus-mt-fr-tn * source languages: fr * target languages: tn * OPUS readme: [fr-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tn/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tn | 33.1 | 0.525 |
Helsinki-NLP/opus-mt-fr-to
2021-01-18T08:48:27.000Z
[ "pytorch", "marian", "seq2seq", "fr", "to", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
75
transformers
--- tags: - translation --- ### opus-mt-fr-to * source languages: fr * target languages: to * OPUS readme: [fr-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-to/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.to | 37.0 | 0.518 |
Helsinki-NLP/opus-mt-fr-tpi
2021-01-18T08:48:33.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tpi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- tags: - translation --- ### opus-mt-fr-tpi * source languages: fr * target languages: tpi * OPUS readme: [fr-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tpi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tpi | 30.0 | 0.487 |
Helsinki-NLP/opus-mt-fr-ts
2021-01-18T08:48:40.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ts", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
83
transformers
--- tags: - translation --- ### opus-mt-fr-ts * source languages: fr * target languages: ts * OPUS readme: [fr-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ts/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ts | 31.4 | 0.525 |
Helsinki-NLP/opus-mt-fr-tum
2021-01-18T08:48:47.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tum", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
67
transformers
--- tags: - translation --- ### opus-mt-fr-tum * source languages: fr * target languages: tum * OPUS readme: [fr-tum](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tum/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tum | 23.0 | 0.458 |
Helsinki-NLP/opus-mt-fr-tvl
2021-01-18T08:48:54.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tvl", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-fr-tvl * source languages: fr * target languages: tvl * OPUS readme: [fr-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tvl/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tvl | 32.6 | 0.497 |
Helsinki-NLP/opus-mt-fr-tw
2021-01-18T08:49:00.000Z
[ "pytorch", "marian", "seq2seq", "fr", "tw", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-fr-tw * source languages: fr * target languages: tw * OPUS readme: [fr-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tw/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.tw | 27.9 | 0.469 |
Helsinki-NLP/opus-mt-fr-ty
2021-01-18T08:49:06.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ty", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
57
transformers
--- tags: - translation --- ### opus-mt-fr-ty * source languages: fr * target languages: ty * OPUS readme: [fr-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ty/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ty | 39.6 | 0.561 |
Helsinki-NLP/opus-mt-fr-uk
2021-01-18T08:49:13.000Z
[ "pytorch", "marian", "seq2seq", "fr", "uk", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
49
transformers
--- tags: - translation --- ### opus-mt-fr-uk * source languages: fr * target languages: uk * OPUS readme: [fr-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-uk/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.fr.uk | 39.4 | 0.581 |
Helsinki-NLP/opus-mt-fr-ve
2021-01-18T08:49:19.000Z
[ "pytorch", "marian", "seq2seq", "fr", "ve", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
50
transformers
--- tags: - translation --- ### opus-mt-fr-ve * source languages: fr * target languages: ve * OPUS readme: [fr-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ve/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.ve | 26.3 | 0.481 |
Helsinki-NLP/opus-mt-fr-vi
2021-01-18T08:49:25.000Z
[ "pytorch", "marian", "seq2seq", "fr", "vi", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
29
transformers
--- language: - fr - vi tags: - translation license: apache-2.0 --- ### fra-vie * source group: French * target group: Vietnamese * OPUS readme: [fra-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md) * model: transformer-align * source language(s): fra * target language(s): vie * 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/fra-vie/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.fra.vie | 31.1 | 0.486 | ### System Info: - hf_name: fra-vie - source_languages: fra - target_languages: vie - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['fr', 'vi'] - src_constituents: {'fra'} - tgt_constituents: {'vie', 'vie_Hani'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt - src_alpha3: fra - tgt_alpha3: vie - short_pair: fr-vi - chrF2_score: 0.486 - bleu: 31.1 - brevity_penalty: 0.985 - ref_len: 13219.0 - src_name: French - tgt_name: Vietnamese - train_date: 2020-06-17 - src_alpha2: fr - tgt_alpha2: vi - prefer_old: False - long_pair: fra-vie - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-fr-war
2021-01-18T08:49:31.000Z
[ "pytorch", "marian", "seq2seq", "fr", "war", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-fr-war * source languages: fr * target languages: war * OPUS readme: [fr-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-war/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.war | 33.7 | 0.538 |
Helsinki-NLP/opus-mt-fr-wls
2021-01-18T08:49:36.000Z
[ "pytorch", "marian", "seq2seq", "fr", "wls", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-fr-wls * source languages: fr * target languages: wls * OPUS readme: [fr-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-wls/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.wls | 27.5 | 0.478 |
Helsinki-NLP/opus-mt-fr-xh
2021-01-18T08:49:42.000Z
[ "pytorch", "marian", "seq2seq", "fr", "xh", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-xh * source languages: fr * target languages: xh * OPUS readme: [fr-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-xh/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.xh | 25.1 | 0.523 |
Helsinki-NLP/opus-mt-fr-yap
2021-01-18T08:49:48.000Z
[ "pytorch", "marian", "seq2seq", "fr", "yap", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
56
transformers
--- tags: - translation --- ### opus-mt-fr-yap * source languages: fr * target languages: yap * OPUS readme: [fr-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yap/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.yap | 25.8 | 0.434 |
Helsinki-NLP/opus-mt-fr-yo
2021-01-18T08:49:54.000Z
[ "pytorch", "marian", "seq2seq", "fr", "yo", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
70
transformers
--- tags: - translation --- ### opus-mt-fr-yo * source languages: fr * target languages: yo * OPUS readme: [fr-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yo/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.yo | 25.9 | 0.415 |
Helsinki-NLP/opus-mt-fr-zne
2021-01-18T08:50:00.000Z
[ "pytorch", "marian", "seq2seq", "fr", "zne", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-fr-zne * source languages: fr * target languages: zne * OPUS readme: [fr-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-zne/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fr.zne | 24.1 | 0.460 |
Helsinki-NLP/opus-mt-fse-fi
2021-01-18T08:50:05.000Z
[ "pytorch", "marian", "seq2seq", "fse", "fi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
48
transformers
--- tags: - translation --- ### opus-mt-fse-fi * source languages: fse * target languages: fi * OPUS readme: [fse-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fse-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.fse.fi | 90.2 | 0.943 |
Helsinki-NLP/opus-mt-ga-en
2021-01-18T08:50:12.000Z
[ "pytorch", "marian", "seq2seq", "ga", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
388
transformers
--- language: - ga - en tags: - translation license: apache-2.0 --- ### gle-eng * source group: Irish * target group: English * OPUS readme: [gle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md) * model: transformer-align * source language(s): gle * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.gle.eng | 51.6 | 0.672 | ### System Info: - hf_name: gle-eng - source_languages: gle - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ga', 'en'] - src_constituents: {'gle'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt - src_alpha3: gle - tgt_alpha3: eng - short_pair: ga-en - chrF2_score: 0.672 - bleu: 51.6 - brevity_penalty: 1.0 - ref_len: 11247.0 - src_name: Irish - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ga - tgt_alpha2: en - prefer_old: False - long_pair: gle-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gaa-de
2021-01-18T08:50:17.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "de", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
55
transformers
--- tags: - translation --- ### opus-mt-gaa-de * source languages: gaa * target languages: de * OPUS readme: [gaa-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.de | 23.3 | 0.438 |
Helsinki-NLP/opus-mt-gaa-en
2021-01-18T08:51:18.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "en", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
71
transformers
--- tags: - translation --- ### opus-mt-gaa-en * source languages: gaa * target languages: en * OPUS readme: [gaa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.en | 41.0 | 0.567 |
Helsinki-NLP/opus-mt-gaa-es
2021-01-18T08:51:32.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "es", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
47
transformers
--- tags: - translation --- ### opus-mt-gaa-es * source languages: gaa * target languages: es * OPUS readme: [gaa-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.es | 28.6 | 0.463 |
Helsinki-NLP/opus-mt-gaa-fi
2021-01-18T08:51:38.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "fi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
42
transformers
--- tags: - translation --- ### opus-mt-gaa-fi * source languages: gaa * target languages: fi * OPUS readme: [gaa-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.fi | 26.4 | 0.498 |
Helsinki-NLP/opus-mt-gaa-fr
2021-01-18T08:51:44.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "fr", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-gaa-fr * source languages: gaa * target languages: fr * OPUS readme: [gaa-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.fr | 27.8 | 0.455 |
Helsinki-NLP/opus-mt-gaa-sv
2021-01-18T08:51:50.000Z
[ "pytorch", "marian", "seq2seq", "gaa", "sv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
45
transformers
--- tags: - translation --- ### opus-mt-gaa-sv * source languages: gaa * target languages: sv * OPUS readme: [gaa-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gaa.sv | 30.1 | 0.489 |
Helsinki-NLP/opus-mt-gem-en
2021-01-18T08:51:56.000Z
[ "pytorch", "marian", "seq2seq", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
30
transformers
--- language: - da - sv - af - nn - fy - fo - de - nb - nl - is - en - lb - yi - gem tags: - translation license: apache-2.0 --- ### gem-eng * source group: Germanic languages * target group: English * OPUS readme: [gem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md) * model: transformer * source language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-deueng.deu.eng | 27.2 | 0.542 | | news-test2008-deueng.deu.eng | 26.3 | 0.536 | | newstest2009-deueng.deu.eng | 25.1 | 0.531 | | newstest2010-deueng.deu.eng | 28.3 | 0.569 | | newstest2011-deueng.deu.eng | 26.0 | 0.543 | | newstest2012-deueng.deu.eng | 26.8 | 0.550 | | newstest2013-deueng.deu.eng | 30.2 | 0.570 | | newstest2014-deen-deueng.deu.eng | 30.7 | 0.574 | | newstest2015-ende-deueng.deu.eng | 32.1 | 0.581 | | newstest2016-ende-deueng.deu.eng | 36.9 | 0.624 | | newstest2017-ende-deueng.deu.eng | 32.8 | 0.588 | | newstest2018-ende-deueng.deu.eng | 40.2 | 0.640 | | newstest2019-deen-deueng.deu.eng | 36.8 | 0.614 | | Tatoeba-test.afr-eng.afr.eng | 62.8 | 0.758 | | Tatoeba-test.ang-eng.ang.eng | 10.5 | 0.262 | | Tatoeba-test.dan-eng.dan.eng | 61.6 | 0.754 | | Tatoeba-test.deu-eng.deu.eng | 49.7 | 0.665 | | Tatoeba-test.enm-eng.enm.eng | 23.9 | 0.491 | | Tatoeba-test.fao-eng.fao.eng | 23.4 | 0.446 | | Tatoeba-test.frr-eng.frr.eng | 10.2 | 0.184 | | Tatoeba-test.fry-eng.fry.eng | 29.6 | 0.486 | | Tatoeba-test.gos-eng.gos.eng | 17.8 | 0.352 | | Tatoeba-test.got-eng.got.eng | 0.1 | 0.058 | | Tatoeba-test.gsw-eng.gsw.eng | 15.3 | 0.333 | | Tatoeba-test.isl-eng.isl.eng | 51.0 | 0.669 | | Tatoeba-test.ksh-eng.ksh.eng | 6.7 | 0.266 | | Tatoeba-test.ltz-eng.ltz.eng | 33.0 | 0.505 | | Tatoeba-test.multi.eng | 54.0 | 0.687 | | Tatoeba-test.nds-eng.nds.eng | 33.6 | 0.529 | | Tatoeba-test.nld-eng.nld.eng | 58.9 | 0.733 | | Tatoeba-test.non-eng.non.eng | 37.3 | 0.546 | | Tatoeba-test.nor-eng.nor.eng | 54.9 | 0.696 | | Tatoeba-test.pdc-eng.pdc.eng | 29.6 | 0.446 | | Tatoeba-test.sco-eng.sco.eng | 40.5 | 0.581 | | Tatoeba-test.stq-eng.stq.eng | 14.5 | 0.361 | | Tatoeba-test.swe-eng.swe.eng | 62.0 | 0.745 | | Tatoeba-test.swg-eng.swg.eng | 17.1 | 0.334 | | Tatoeba-test.yid-eng.yid.eng | 19.4 | 0.400 | ### System Info: - hf_name: gem-eng - source_languages: gem - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] - src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-eng/opus2m-2020-08-01.test.txt - src_alpha3: gem - tgt_alpha3: eng - short_pair: gem-en - chrF2_score: 0.687 - bleu: 54.0 - brevity_penalty: 0.993 - ref_len: 72120.0 - src_name: Germanic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: gem - tgt_alpha2: en - prefer_old: False - long_pair: gem-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gem-gem
2021-01-18T08:52:02.000Z
[ "pytorch", "marian", "seq2seq", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "en", "lb", "yi", "gem", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
42
transformers
--- language: - da - sv - af - nn - fy - fo - de - nb - nl - is - en - lb - yi - gem tags: - translation license: apache-2.0 --- ### gem-gem * source group: Germanic languages * target group: Germanic languages * OPUS readme: [gem-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md) * model: transformer * source language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * target language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-deueng.deu.eng | 24.5 | 0.519 | | newssyscomb2009-engdeu.eng.deu | 18.7 | 0.495 | | news-test2008-deueng.deu.eng | 22.8 | 0.509 | | news-test2008-engdeu.eng.deu | 18.6 | 0.485 | | newstest2009-deueng.deu.eng | 22.2 | 0.507 | | newstest2009-engdeu.eng.deu | 18.3 | 0.491 | | newstest2010-deueng.deu.eng | 24.8 | 0.537 | | newstest2010-engdeu.eng.deu | 19.7 | 0.499 | | newstest2011-deueng.deu.eng | 22.9 | 0.516 | | newstest2011-engdeu.eng.deu | 18.3 | 0.485 | | newstest2012-deueng.deu.eng | 23.9 | 0.524 | | newstest2012-engdeu.eng.deu | 18.5 | 0.484 | | newstest2013-deueng.deu.eng | 26.3 | 0.537 | | newstest2013-engdeu.eng.deu | 21.5 | 0.506 | | newstest2014-deen-deueng.deu.eng | 25.7 | 0.535 | | newstest2015-ende-deueng.deu.eng | 27.3 | 0.542 | | newstest2015-ende-engdeu.eng.deu | 24.2 | 0.534 | | newstest2016-ende-deueng.deu.eng | 31.8 | 0.584 | | newstest2016-ende-engdeu.eng.deu | 28.4 | 0.564 | | newstest2017-ende-deueng.deu.eng | 27.6 | 0.545 | | newstest2017-ende-engdeu.eng.deu | 22.8 | 0.527 | | newstest2018-ende-deueng.deu.eng | 34.1 | 0.593 | | newstest2018-ende-engdeu.eng.deu | 32.7 | 0.595 | | newstest2019-deen-deueng.deu.eng | 30.6 | 0.565 | | newstest2019-ende-engdeu.eng.deu | 29.5 | 0.567 | | Tatoeba-test.afr-ang.afr.ang | 0.0 | 0.053 | | Tatoeba-test.afr-dan.afr.dan | 57.8 | 0.907 | | Tatoeba-test.afr-deu.afr.deu | 46.4 | 0.663 | | Tatoeba-test.afr-eng.afr.eng | 57.4 | 0.717 | | Tatoeba-test.afr-enm.afr.enm | 11.3 | 0.285 | | Tatoeba-test.afr-fry.afr.fry | 0.0 | 0.167 | | Tatoeba-test.afr-gos.afr.gos | 1.5 | 0.178 | | Tatoeba-test.afr-isl.afr.isl | 29.0 | 0.760 | | Tatoeba-test.afr-ltz.afr.ltz | 11.2 | 0.246 | | Tatoeba-test.afr-nld.afr.nld | 53.3 | 0.708 | | Tatoeba-test.afr-nor.afr.nor | 66.0 | 0.752 | | Tatoeba-test.afr-swe.afr.swe | 88.0 | 0.955 | | Tatoeba-test.afr-yid.afr.yid | 59.5 | 0.443 | | Tatoeba-test.ang-afr.ang.afr | 10.7 | 0.043 | | Tatoeba-test.ang-dan.ang.dan | 6.3 | 0.190 | | Tatoeba-test.ang-deu.ang.deu | 1.4 | 0.212 | | Tatoeba-test.ang-eng.ang.eng | 8.1 | 0.247 | | Tatoeba-test.ang-enm.ang.enm | 1.7 | 0.196 | | Tatoeba-test.ang-fao.ang.fao | 10.7 | 0.105 | | Tatoeba-test.ang-gos.ang.gos | 10.7 | 0.128 | | Tatoeba-test.ang-isl.ang.isl | 16.0 | 0.135 | | Tatoeba-test.ang-ltz.ang.ltz | 16.0 | 0.121 | | Tatoeba-test.ang-yid.ang.yid | 1.5 | 0.136 | | Tatoeba-test.dan-afr.dan.afr | 22.7 | 0.655 | | Tatoeba-test.dan-ang.dan.ang | 3.1 | 0.110 | | Tatoeba-test.dan-deu.dan.deu | 47.4 | 0.676 | | Tatoeba-test.dan-eng.dan.eng | 54.7 | 0.704 | | Tatoeba-test.dan-enm.dan.enm | 4.8 | 0.291 | | Tatoeba-test.dan-fao.dan.fao | 9.7 | 0.120 | | Tatoeba-test.dan-gos.dan.gos | 3.8 | 0.240 | | Tatoeba-test.dan-isl.dan.isl | 66.1 | 0.678 | | Tatoeba-test.dan-ltz.dan.ltz | 78.3 | 0.563 | | Tatoeba-test.dan-nds.dan.nds | 6.2 | 0.335 | | Tatoeba-test.dan-nld.dan.nld | 60.0 | 0.748 | | Tatoeba-test.dan-nor.dan.nor | 68.1 | 0.812 | | Tatoeba-test.dan-swe.dan.swe | 65.0 | 0.785 | | Tatoeba-test.dan-swg.dan.swg | 2.6 | 0.182 | | Tatoeba-test.dan-yid.dan.yid | 9.3 | 0.226 | | Tatoeba-test.deu-afr.deu.afr | 50.3 | 0.682 | | Tatoeba-test.deu-ang.deu.ang | 0.5 | 0.118 | | Tatoeba-test.deu-dan.deu.dan | 49.6 | 0.679 | | Tatoeba-test.deu-eng.deu.eng | 43.4 | 0.618 | | Tatoeba-test.deu-enm.deu.enm | 2.2 | 0.159 | | Tatoeba-test.deu-frr.deu.frr | 0.4 | 0.156 | | Tatoeba-test.deu-fry.deu.fry | 10.7 | 0.355 | | Tatoeba-test.deu-gos.deu.gos | 0.7 | 0.183 | | Tatoeba-test.deu-got.deu.got | 0.3 | 0.010 | | Tatoeba-test.deu-gsw.deu.gsw | 1.1 | 0.130 | | Tatoeba-test.deu-isl.deu.isl | 24.3 | 0.504 | | Tatoeba-test.deu-ksh.deu.ksh | 0.9 | 0.173 | | Tatoeba-test.deu-ltz.deu.ltz | 15.6 | 0.304 | | Tatoeba-test.deu-nds.deu.nds | 21.2 | 0.469 | | Tatoeba-test.deu-nld.deu.nld | 47.1 | 0.657 | | Tatoeba-test.deu-nor.deu.nor | 43.9 | 0.646 | | Tatoeba-test.deu-pdc.deu.pdc | 3.0 | 0.133 | | Tatoeba-test.deu-sco.deu.sco | 12.0 | 0.296 | | Tatoeba-test.deu-stq.deu.stq | 0.6 | 0.137 | | Tatoeba-test.deu-swe.deu.swe | 50.6 | 0.668 | | Tatoeba-test.deu-swg.deu.swg | 0.2 | 0.137 | | Tatoeba-test.deu-yid.deu.yid | 3.9 | 0.229 | | Tatoeba-test.eng-afr.eng.afr | 55.2 | 0.721 | | Tatoeba-test.eng-ang.eng.ang | 4.9 | 0.118 | | Tatoeba-test.eng-dan.eng.dan | 52.6 | 0.684 | | Tatoeba-test.eng-deu.eng.deu | 35.4 | 0.573 | | Tatoeba-test.eng-enm.eng.enm | 1.8 | 0.223 | | Tatoeba-test.eng-fao.eng.fao | 7.0 | 0.312 | | Tatoeba-test.eng-frr.eng.frr | 1.2 | 0.050 | | Tatoeba-test.eng-fry.eng.fry | 15.8 | 0.381 | | Tatoeba-test.eng-gos.eng.gos | 0.7 | 0.170 | | Tatoeba-test.eng-got.eng.got | 0.3 | 0.011 | | Tatoeba-test.eng-gsw.eng.gsw | 0.5 | 0.126 | | Tatoeba-test.eng-isl.eng.isl | 20.9 | 0.463 | | Tatoeba-test.eng-ksh.eng.ksh | 1.0 | 0.141 | | Tatoeba-test.eng-ltz.eng.ltz | 12.8 | 0.292 | | Tatoeba-test.eng-nds.eng.nds | 18.3 | 0.428 | | Tatoeba-test.eng-nld.eng.nld | 47.3 | 0.657 | | Tatoeba-test.eng-non.eng.non | 0.3 | 0.145 | | Tatoeba-test.eng-nor.eng.nor | 47.2 | 0.650 | | Tatoeba-test.eng-pdc.eng.pdc | 4.8 | 0.177 | | Tatoeba-test.eng-sco.eng.sco | 38.1 | 0.597 | | Tatoeba-test.eng-stq.eng.stq | 2.4 | 0.288 | | Tatoeba-test.eng-swe.eng.swe | 52.7 | 0.677 | | Tatoeba-test.eng-swg.eng.swg | 1.1 | 0.163 | | Tatoeba-test.eng-yid.eng.yid | 4.5 | 0.223 | | Tatoeba-test.enm-afr.enm.afr | 22.8 | 0.401 | | Tatoeba-test.enm-ang.enm.ang | 0.4 | 0.062 | | Tatoeba-test.enm-dan.enm.dan | 51.4 | 0.782 | | Tatoeba-test.enm-deu.enm.deu | 33.8 | 0.473 | | Tatoeba-test.enm-eng.enm.eng | 22.4 | 0.495 | | Tatoeba-test.enm-fry.enm.fry | 16.0 | 0.173 | | Tatoeba-test.enm-gos.enm.gos | 6.1 | 0.222 | | Tatoeba-test.enm-isl.enm.isl | 59.5 | 0.651 | | Tatoeba-test.enm-ksh.enm.ksh | 10.5 | 0.130 | | Tatoeba-test.enm-nds.enm.nds | 18.1 | 0.327 | | Tatoeba-test.enm-nld.enm.nld | 38.3 | 0.546 | | Tatoeba-test.enm-nor.enm.nor | 15.6 | 0.290 | | Tatoeba-test.enm-yid.enm.yid | 2.3 | 0.215 | | Tatoeba-test.fao-ang.fao.ang | 2.1 | 0.035 | | Tatoeba-test.fao-dan.fao.dan | 53.7 | 0.625 | | Tatoeba-test.fao-eng.fao.eng | 24.7 | 0.435 | | Tatoeba-test.fao-gos.fao.gos | 12.7 | 0.116 | | Tatoeba-test.fao-isl.fao.isl | 26.3 | 0.341 | | Tatoeba-test.fao-nor.fao.nor | 41.9 | 0.586 | | Tatoeba-test.fao-swe.fao.swe | 0.0 | 1.000 | | Tatoeba-test.frr-deu.frr.deu | 7.4 | 0.263 | | Tatoeba-test.frr-eng.frr.eng | 7.0 | 0.157 | | Tatoeba-test.frr-fry.frr.fry | 4.0 | 0.112 | | Tatoeba-test.frr-gos.frr.gos | 1.0 | 0.135 | | Tatoeba-test.frr-nds.frr.nds | 12.4 | 0.207 | | Tatoeba-test.frr-nld.frr.nld | 10.6 | 0.227 | | Tatoeba-test.frr-stq.frr.stq | 1.0 | 0.058 | | Tatoeba-test.fry-afr.fry.afr | 12.7 | 0.333 | | Tatoeba-test.fry-deu.fry.deu | 30.8 | 0.555 | | Tatoeba-test.fry-eng.fry.eng | 31.2 | 0.506 | | Tatoeba-test.fry-enm.fry.enm | 0.0 | 0.175 | | Tatoeba-test.fry-frr.fry.frr | 1.6 | 0.091 | | Tatoeba-test.fry-gos.fry.gos | 1.1 | 0.254 | | Tatoeba-test.fry-ltz.fry.ltz | 30.4 | 0.526 | | Tatoeba-test.fry-nds.fry.nds | 12.4 | 0.116 | | Tatoeba-test.fry-nld.fry.nld | 43.4 | 0.637 | | Tatoeba-test.fry-nor.fry.nor | 47.1 | 0.607 | | Tatoeba-test.fry-stq.fry.stq | 0.6 | 0.181 | | Tatoeba-test.fry-swe.fry.swe | 30.2 | 0.587 | | Tatoeba-test.fry-yid.fry.yid | 3.1 | 0.173 | | Tatoeba-test.gos-afr.gos.afr | 1.8 | 0.215 | | Tatoeba-test.gos-ang.gos.ang | 0.0 | 0.045 | | Tatoeba-test.gos-dan.gos.dan | 4.1 | 0.236 | | Tatoeba-test.gos-deu.gos.deu | 19.6 | 0.406 | | Tatoeba-test.gos-eng.gos.eng | 15.1 | 0.329 | | Tatoeba-test.gos-enm.gos.enm | 5.8 | 0.271 | | Tatoeba-test.gos-fao.gos.fao | 19.0 | 0.136 | | Tatoeba-test.gos-frr.gos.frr | 1.3 | 0.119 | | Tatoeba-test.gos-fry.gos.fry | 17.1 | 0.388 | | Tatoeba-test.gos-isl.gos.isl | 16.8 | 0.356 | | Tatoeba-test.gos-ltz.gos.ltz | 3.6 | 0.174 | | Tatoeba-test.gos-nds.gos.nds | 4.7 | 0.225 | | Tatoeba-test.gos-nld.gos.nld | 16.3 | 0.406 | | Tatoeba-test.gos-stq.gos.stq | 0.7 | 0.154 | | Tatoeba-test.gos-swe.gos.swe | 8.6 | 0.319 | | Tatoeba-test.gos-yid.gos.yid | 4.4 | 0.165 | | Tatoeba-test.got-deu.got.deu | 0.2 | 0.041 | | Tatoeba-test.got-eng.got.eng | 0.2 | 0.068 | | Tatoeba-test.got-nor.got.nor | 0.6 | 0.000 | | Tatoeba-test.gsw-deu.gsw.deu | 15.9 | 0.373 | | Tatoeba-test.gsw-eng.gsw.eng | 14.7 | 0.320 | | Tatoeba-test.isl-afr.isl.afr | 38.0 | 0.641 | | Tatoeba-test.isl-ang.isl.ang | 0.0 | 0.037 | | Tatoeba-test.isl-dan.isl.dan | 67.7 | 0.836 | | Tatoeba-test.isl-deu.isl.deu | 42.6 | 0.614 | | Tatoeba-test.isl-eng.isl.eng | 43.5 | 0.610 | | Tatoeba-test.isl-enm.isl.enm | 12.4 | 0.123 | | Tatoeba-test.isl-fao.isl.fao | 15.6 | 0.176 | | Tatoeba-test.isl-gos.isl.gos | 7.1 | 0.257 | | Tatoeba-test.isl-nor.isl.nor | 53.5 | 0.690 | | Tatoeba-test.isl-stq.isl.stq | 10.7 | 0.176 | | Tatoeba-test.isl-swe.isl.swe | 67.7 | 0.818 | | Tatoeba-test.ksh-deu.ksh.deu | 11.8 | 0.393 | | Tatoeba-test.ksh-eng.ksh.eng | 4.0 | 0.239 | | Tatoeba-test.ksh-enm.ksh.enm | 9.5 | 0.085 | | Tatoeba-test.ltz-afr.ltz.afr | 36.5 | 0.529 | | Tatoeba-test.ltz-ang.ltz.ang | 0.0 | 0.043 | | Tatoeba-test.ltz-dan.ltz.dan | 80.6 | 0.722 | | Tatoeba-test.ltz-deu.ltz.deu | 40.1 | 0.581 | | Tatoeba-test.ltz-eng.ltz.eng | 36.1 | 0.511 | | Tatoeba-test.ltz-fry.ltz.fry | 16.5 | 0.524 | | Tatoeba-test.ltz-gos.ltz.gos | 0.7 | 0.118 | | Tatoeba-test.ltz-nld.ltz.nld | 40.4 | 0.535 | | Tatoeba-test.ltz-nor.ltz.nor | 19.1 | 0.582 | | Tatoeba-test.ltz-stq.ltz.stq | 2.4 | 0.093 | | Tatoeba-test.ltz-swe.ltz.swe | 25.9 | 0.430 | | Tatoeba-test.ltz-yid.ltz.yid | 1.5 | 0.160 | | Tatoeba-test.multi.multi | 42.7 | 0.614 | | Tatoeba-test.nds-dan.nds.dan | 23.0 | 0.465 | | Tatoeba-test.nds-deu.nds.deu | 39.8 | 0.610 | | Tatoeba-test.nds-eng.nds.eng | 32.0 | 0.520 | | Tatoeba-test.nds-enm.nds.enm | 3.9 | 0.156 | | Tatoeba-test.nds-frr.nds.frr | 10.7 | 0.127 | | Tatoeba-test.nds-fry.nds.fry | 10.7 | 0.231 | | Tatoeba-test.nds-gos.nds.gos | 0.8 | 0.157 | | Tatoeba-test.nds-nld.nds.nld | 44.1 | 0.634 | | Tatoeba-test.nds-nor.nds.nor | 47.1 | 0.665 | | Tatoeba-test.nds-swg.nds.swg | 0.5 | 0.166 | | Tatoeba-test.nds-yid.nds.yid | 12.7 | 0.337 | | Tatoeba-test.nld-afr.nld.afr | 58.4 | 0.748 | | Tatoeba-test.nld-dan.nld.dan | 61.3 | 0.753 | | Tatoeba-test.nld-deu.nld.deu | 48.2 | 0.670 | | Tatoeba-test.nld-eng.nld.eng | 52.8 | 0.690 | | Tatoeba-test.nld-enm.nld.enm | 5.7 | 0.178 | | Tatoeba-test.nld-frr.nld.frr | 0.9 | 0.159 | | Tatoeba-test.nld-fry.nld.fry | 23.0 | 0.467 | | Tatoeba-test.nld-gos.nld.gos | 1.0 | 0.165 | | Tatoeba-test.nld-ltz.nld.ltz | 14.4 | 0.310 | | Tatoeba-test.nld-nds.nld.nds | 24.1 | 0.485 | | Tatoeba-test.nld-nor.nld.nor | 53.6 | 0.705 | | Tatoeba-test.nld-sco.nld.sco | 15.0 | 0.415 | | Tatoeba-test.nld-stq.nld.stq | 0.5 | 0.183 | | Tatoeba-test.nld-swe.nld.swe | 73.6 | 0.842 | | Tatoeba-test.nld-swg.nld.swg | 4.2 | 0.191 | | Tatoeba-test.nld-yid.nld.yid | 9.4 | 0.299 | | Tatoeba-test.non-eng.non.eng | 27.7 | 0.501 | | Tatoeba-test.nor-afr.nor.afr | 48.2 | 0.687 | | Tatoeba-test.nor-dan.nor.dan | 69.5 | 0.820 | | Tatoeba-test.nor-deu.nor.deu | 41.1 | 0.634 | | Tatoeba-test.nor-eng.nor.eng | 49.4 | 0.660 | | Tatoeba-test.nor-enm.nor.enm | 6.8 | 0.230 | | Tatoeba-test.nor-fao.nor.fao | 6.9 | 0.395 | | Tatoeba-test.nor-fry.nor.fry | 9.2 | 0.323 | | Tatoeba-test.nor-got.nor.got | 1.5 | 0.000 | | Tatoeba-test.nor-isl.nor.isl | 34.5 | 0.555 | | Tatoeba-test.nor-ltz.nor.ltz | 22.1 | 0.447 | | Tatoeba-test.nor-nds.nor.nds | 34.3 | 0.565 | | Tatoeba-test.nor-nld.nor.nld | 50.5 | 0.676 | | Tatoeba-test.nor-nor.nor.nor | 57.6 | 0.764 | | Tatoeba-test.nor-swe.nor.swe | 68.9 | 0.813 | | Tatoeba-test.nor-yid.nor.yid | 65.0 | 0.627 | | Tatoeba-test.pdc-deu.pdc.deu | 43.5 | 0.559 | | Tatoeba-test.pdc-eng.pdc.eng | 26.1 | 0.471 | | Tatoeba-test.sco-deu.sco.deu | 7.1 | 0.295 | | Tatoeba-test.sco-eng.sco.eng | 34.4 | 0.551 | | Tatoeba-test.sco-nld.sco.nld | 9.9 | 0.438 | | Tatoeba-test.stq-deu.stq.deu | 8.6 | 0.385 | | Tatoeba-test.stq-eng.stq.eng | 21.8 | 0.431 | | Tatoeba-test.stq-frr.stq.frr | 2.1 | 0.111 | | Tatoeba-test.stq-fry.stq.fry | 7.6 | 0.267 | | Tatoeba-test.stq-gos.stq.gos | 0.7 | 0.198 | | Tatoeba-test.stq-isl.stq.isl | 16.0 | 0.121 | | Tatoeba-test.stq-ltz.stq.ltz | 3.8 | 0.150 | | Tatoeba-test.stq-nld.stq.nld | 14.6 | 0.375 | | Tatoeba-test.stq-yid.stq.yid | 2.4 | 0.096 | | Tatoeba-test.swe-afr.swe.afr | 51.8 | 0.802 | | Tatoeba-test.swe-dan.swe.dan | 64.9 | 0.784 | | Tatoeba-test.swe-deu.swe.deu | 47.0 | 0.657 | | Tatoeba-test.swe-eng.swe.eng | 55.8 | 0.700 | | Tatoeba-test.swe-fao.swe.fao | 0.0 | 0.060 | | Tatoeba-test.swe-fry.swe.fry | 14.1 | 0.449 | | Tatoeba-test.swe-gos.swe.gos | 7.5 | 0.291 | | Tatoeba-test.swe-isl.swe.isl | 70.7 | 0.812 | | Tatoeba-test.swe-ltz.swe.ltz | 15.9 | 0.553 | | Tatoeba-test.swe-nld.swe.nld | 78.7 | 0.854 | | Tatoeba-test.swe-nor.swe.nor | 67.1 | 0.799 | | Tatoeba-test.swe-yid.swe.yid | 14.7 | 0.156 | | Tatoeba-test.swg-dan.swg.dan | 7.7 | 0.341 | | Tatoeba-test.swg-deu.swg.deu | 8.0 | 0.334 | | Tatoeba-test.swg-eng.swg.eng | 12.4 | 0.305 | | Tatoeba-test.swg-nds.swg.nds | 1.1 | 0.209 | | Tatoeba-test.swg-nld.swg.nld | 4.9 | 0.244 | | Tatoeba-test.swg-yid.swg.yid | 3.4 | 0.194 | | Tatoeba-test.yid-afr.yid.afr | 23.6 | 0.552 | | Tatoeba-test.yid-ang.yid.ang | 0.1 | 0.066 | | Tatoeba-test.yid-dan.yid.dan | 17.5 | 0.392 | | Tatoeba-test.yid-deu.yid.deu | 21.0 | 0.423 | | Tatoeba-test.yid-eng.yid.eng | 17.4 | 0.368 | | Tatoeba-test.yid-enm.yid.enm | 0.6 | 0.143 | | Tatoeba-test.yid-fry.yid.fry | 5.3 | 0.169 | | Tatoeba-test.yid-gos.yid.gos | 1.2 | 0.149 | | Tatoeba-test.yid-ltz.yid.ltz | 3.5 | 0.256 | | Tatoeba-test.yid-nds.yid.nds | 14.4 | 0.487 | | Tatoeba-test.yid-nld.yid.nld | 26.1 | 0.423 | | Tatoeba-test.yid-nor.yid.nor | 47.1 | 0.583 | | Tatoeba-test.yid-stq.yid.stq | 1.5 | 0.092 | | Tatoeba-test.yid-swe.yid.swe | 35.9 | 0.518 | | Tatoeba-test.yid-swg.yid.swg | 1.0 | 0.124 | ### System Info: - hf_name: gem-gem - source_languages: gem - target_languages: gem - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem'] - src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt - src_alpha3: gem - tgt_alpha3: gem - short_pair: gem-gem - chrF2_score: 0.614 - bleu: 42.7 - brevity_penalty: 0.993 - ref_len: 73459.0 - src_name: Germanic languages - tgt_name: Germanic languages - train_date: 2020-07-27 - src_alpha2: gem - tgt_alpha2: gem - prefer_old: False - long_pair: gem-gem - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gil-en
2021-01-18T08:52:07.000Z
[ "pytorch", "marian", "seq2seq", "gil", "en", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-gil-en * source languages: gil * target languages: en * OPUS readme: [gil-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gil.en | 36.0 | 0.522 |
Helsinki-NLP/opus-mt-gil-es
2021-01-18T08:52:14.000Z
[ "pytorch", "marian", "seq2seq", "gil", "es", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
42
transformers
--- tags: - translation --- ### opus-mt-gil-es * source languages: gil * target languages: es * OPUS readme: [gil-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gil.es | 21.8 | 0.398 |
Helsinki-NLP/opus-mt-gil-fi
2021-01-18T08:52:19.000Z
[ "pytorch", "marian", "seq2seq", "gil", "fi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
36
transformers
--- tags: - translation --- ### opus-mt-gil-fi * source languages: gil * target languages: fi * OPUS readme: [gil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gil.fi | 23.1 | 0.447 |
Helsinki-NLP/opus-mt-gil-fr
2021-01-18T08:52:25.000Z
[ "pytorch", "marian", "seq2seq", "gil", "fr", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
44
transformers
--- tags: - translation --- ### opus-mt-gil-fr * source languages: gil * target languages: fr * OPUS readme: [gil-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gil.fr | 24.9 | 0.424 |
Helsinki-NLP/opus-mt-gil-sv
2021-01-18T08:52:31.000Z
[ "pytorch", "marian", "seq2seq", "gil", "sv", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
53
transformers
--- tags: - translation --- ### opus-mt-gil-sv * source languages: gil * target languages: sv * OPUS readme: [gil-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.gil.sv | 25.8 | 0.441 |
Helsinki-NLP/opus-mt-gl-en
2021-01-18T08:52:37.000Z
[ "pytorch", "marian", "seq2seq", "gl", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
196
transformers
--- language: - gl - en tags: - translation license: apache-2.0 --- ### glg-eng * source group: Galician * target group: English * OPUS readme: [glg-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md) * model: transformer-align * source language(s): glg * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.glg.eng | 44.4 | 0.628 | ### System Info: - hf_name: glg-eng - source_languages: glg - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'en'] - src_constituents: {'glg'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: eng - short_pair: gl-en - chrF2_score: 0.628 - bleu: 44.4 - brevity_penalty: 0.975 - ref_len: 8365.0 - src_name: Galician - tgt_name: English - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: en - prefer_old: False - long_pair: glg-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gl-es
2021-01-18T08:52:42.000Z
[ "pytorch", "marian", "seq2seq", "gl", "es", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
75
transformers
--- language: - gl - es tags: - translation license: apache-2.0 --- ### glg-spa * source group: Galician * target group: Spanish * OPUS readme: [glg-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md) * model: transformer-align * source language(s): glg * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.glg.spa | 72.2 | 0.836 | ### System Info: - hf_name: glg-spa - source_languages: glg - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'es'] - src_constituents: {'glg'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: spa - short_pair: gl-es - chrF2_score: 0.836 - bleu: 72.2 - brevity_penalty: 0.982 - ref_len: 17443.0 - src_name: Galician - tgt_name: Spanish - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: es - prefer_old: False - long_pair: glg-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gl-pt
2021-01-18T08:52:45.000Z
[ "pytorch", "marian", "seq2seq", "gl", "pt", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
29
transformers
--- language: - gl - pt tags: - translation license: apache-2.0 --- ### glg-por * source group: Galician * target group: Portuguese * OPUS readme: [glg-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md) * model: transformer-align * source language(s): glg * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.glg.por | 57.9 | 0.758 | ### System Info: - hf_name: glg-por - source_languages: glg - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'pt'] - src_constituents: {'glg'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: por - short_pair: gl-pt - chrF2_score: 0.758 - bleu: 57.9 - brevity_penalty: 0.977 - ref_len: 3078.0 - src_name: Galician - tgt_name: Portuguese - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: pt - prefer_old: False - long_pair: glg-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gmq-en
2021-01-18T08:52:51.000Z
[ "pytorch", "marian", "seq2seq", "da", "nb", "sv", "is", "nn", "fo", "gmq", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
44
transformers
--- language: - da - nb - sv - is - nn - fo - gmq - en tags: - translation license: apache-2.0 --- ### gmq-eng * source group: North Germanic languages * target group: English * OPUS readme: [gmq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md) * model: transformer * source language(s): dan fao isl nno nob nob_Hebr non_Latn swe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip) * test set translations: [opus2m-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt) * test set scores: [opus2m-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.multi.eng | 58.1 | 0.720 | ### System Info: - hf_name: gmq-eng - source_languages: gmq - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en'] - src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt - src_alpha3: gmq - tgt_alpha3: eng - short_pair: gmq-en - chrF2_score: 0.72 - bleu: 58.1 - brevity_penalty: 0.982 - ref_len: 72641.0 - src_name: North Germanic languages - tgt_name: English - train_date: 2020-07-26 - src_alpha2: gmq - tgt_alpha2: en - prefer_old: False - long_pair: gmq-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gmq-gmq
2021-01-18T08:52:55.000Z
[ "pytorch", "marian", "seq2seq", "da", "nb", "sv", "is", "nn", "fo", "gmq", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
39
transformers
--- language: - da - nb - sv - is - nn - fo - gmq tags: - translation license: apache-2.0 --- ### gmq-gmq * source group: North Germanic languages * target group: North Germanic languages * OPUS readme: [gmq-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md) * model: transformer * source language(s): dan fao isl nno nob swe * target language(s): dan fao isl nno nob swe * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.dan-fao.dan.fao | 8.1 | 0.173 | | Tatoeba-test.dan-isl.dan.isl | 52.5 | 0.827 | | Tatoeba-test.dan-nor.dan.nor | 62.8 | 0.772 | | Tatoeba-test.dan-swe.dan.swe | 67.6 | 0.802 | | Tatoeba-test.fao-dan.fao.dan | 11.3 | 0.306 | | Tatoeba-test.fao-isl.fao.isl | 26.3 | 0.359 | | Tatoeba-test.fao-nor.fao.nor | 36.8 | 0.531 | | Tatoeba-test.fao-swe.fao.swe | 0.0 | 0.632 | | Tatoeba-test.isl-dan.isl.dan | 67.0 | 0.739 | | Tatoeba-test.isl-fao.isl.fao | 14.5 | 0.243 | | Tatoeba-test.isl-nor.isl.nor | 51.8 | 0.674 | | Tatoeba-test.isl-swe.isl.swe | 100.0 | 1.000 | | Tatoeba-test.multi.multi | 64.7 | 0.782 | | Tatoeba-test.nor-dan.nor.dan | 65.6 | 0.797 | | Tatoeba-test.nor-fao.nor.fao | 9.4 | 0.362 | | Tatoeba-test.nor-isl.nor.isl | 38.8 | 0.587 | | Tatoeba-test.nor-nor.nor.nor | 51.9 | 0.721 | | Tatoeba-test.nor-swe.nor.swe | 66.5 | 0.789 | | Tatoeba-test.swe-dan.swe.dan | 67.6 | 0.802 | | Tatoeba-test.swe-fao.swe.fao | 0.0 | 0.268 | | Tatoeba-test.swe-isl.swe.isl | 65.8 | 0.914 | | Tatoeba-test.swe-nor.swe.nor | 60.6 | 0.755 | ### System Info: - hf_name: gmq-gmq - source_languages: gmq - target_languages: gmq - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq'] - src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt - src_alpha3: gmq - tgt_alpha3: gmq - short_pair: gmq-gmq - chrF2_score: 0.782 - bleu: 64.7 - brevity_penalty: 0.9940000000000001 - ref_len: 49385.0 - src_name: North Germanic languages - tgt_name: North Germanic languages - train_date: 2020-07-27 - src_alpha2: gmq - tgt_alpha2: gmq - prefer_old: False - long_pair: gmq-gmq - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gmw-en
2021-01-18T08:53:00.000Z
[ "pytorch", "marian", "seq2seq", "nl", "en", "lb", "af", "de", "fy", "yi", "gmw", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
30
transformers
--- language: - nl - en - lb - af - de - fy - yi - gmw tags: - translation license: apache-2.0 --- ### gmw-eng * source group: West Germanic languages * target group: English * OPUS readme: [gmw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md) * model: transformer * source language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-deueng.deu.eng | 27.2 | 0.538 | | news-test2008-deueng.deu.eng | 25.7 | 0.534 | | newstest2009-deueng.deu.eng | 25.1 | 0.530 | | newstest2010-deueng.deu.eng | 27.9 | 0.565 | | newstest2011-deueng.deu.eng | 25.3 | 0.539 | | newstest2012-deueng.deu.eng | 26.6 | 0.548 | | newstest2013-deueng.deu.eng | 29.6 | 0.565 | | newstest2014-deen-deueng.deu.eng | 30.2 | 0.571 | | newstest2015-ende-deueng.deu.eng | 31.5 | 0.577 | | newstest2016-ende-deueng.deu.eng | 36.7 | 0.622 | | newstest2017-ende-deueng.deu.eng | 32.3 | 0.585 | | newstest2018-ende-deueng.deu.eng | 39.9 | 0.638 | | newstest2019-deen-deueng.deu.eng | 35.9 | 0.611 | | Tatoeba-test.afr-eng.afr.eng | 61.8 | 0.750 | | Tatoeba-test.ang-eng.ang.eng | 7.3 | 0.220 | | Tatoeba-test.deu-eng.deu.eng | 48.3 | 0.657 | | Tatoeba-test.enm-eng.enm.eng | 16.1 | 0.423 | | Tatoeba-test.frr-eng.frr.eng | 7.0 | 0.168 | | Tatoeba-test.fry-eng.fry.eng | 28.6 | 0.488 | | Tatoeba-test.gos-eng.gos.eng | 15.5 | 0.326 | | Tatoeba-test.gsw-eng.gsw.eng | 12.7 | 0.308 | | Tatoeba-test.ksh-eng.ksh.eng | 8.4 | 0.254 | | Tatoeba-test.ltz-eng.ltz.eng | 28.7 | 0.453 | | Tatoeba-test.multi.eng | 48.5 | 0.646 | | Tatoeba-test.nds-eng.nds.eng | 31.4 | 0.509 | | Tatoeba-test.nld-eng.nld.eng | 58.1 | 0.728 | | Tatoeba-test.pdc-eng.pdc.eng | 25.1 | 0.406 | | Tatoeba-test.sco-eng.sco.eng | 40.8 | 0.570 | | Tatoeba-test.stq-eng.stq.eng | 20.3 | 0.380 | | Tatoeba-test.swg-eng.swg.eng | 20.5 | 0.315 | | Tatoeba-test.yid-eng.yid.eng | 16.0 | 0.366 | ### System Info: - hf_name: gmw-eng - source_languages: gmw - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] - src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt - src_alpha3: gmw - tgt_alpha3: eng - short_pair: gmw-en - chrF2_score: 0.6459999999999999 - bleu: 48.5 - brevity_penalty: 0.997 - ref_len: 72584.0 - src_name: West Germanic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: gmw - tgt_alpha2: en - prefer_old: False - long_pair: gmw-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-gmw-gmw
2021-01-18T08:53:04.000Z
[ "pytorch", "marian", "seq2seq", "nl", "en", "lb", "af", "de", "fy", "yi", "gmw", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
45
transformers
--- language: - nl - en - lb - af - de - fy - yi - gmw tags: - translation license: apache-2.0 --- ### gmw-gmw * source group: West Germanic languages * target group: West Germanic languages * OPUS readme: [gmw-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md) * model: transformer * source language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009-deueng.deu.eng | 25.3 | 0.527 | | newssyscomb2009-engdeu.eng.deu | 19.0 | 0.502 | | news-test2008-deueng.deu.eng | 23.7 | 0.515 | | news-test2008-engdeu.eng.deu | 19.2 | 0.491 | | newstest2009-deueng.deu.eng | 23.1 | 0.514 | | newstest2009-engdeu.eng.deu | 18.6 | 0.495 | | newstest2010-deueng.deu.eng | 25.8 | 0.545 | | newstest2010-engdeu.eng.deu | 20.3 | 0.505 | | newstest2011-deueng.deu.eng | 23.7 | 0.523 | | newstest2011-engdeu.eng.deu | 18.9 | 0.490 | | newstest2012-deueng.deu.eng | 24.4 | 0.529 | | newstest2012-engdeu.eng.deu | 19.2 | 0.489 | | newstest2013-deueng.deu.eng | 27.2 | 0.545 | | newstest2013-engdeu.eng.deu | 22.4 | 0.514 | | newstest2014-deen-deueng.deu.eng | 27.0 | 0.546 | | newstest2015-ende-deueng.deu.eng | 28.4 | 0.552 | | newstest2015-ende-engdeu.eng.deu | 25.3 | 0.541 | | newstest2016-ende-deueng.deu.eng | 33.2 | 0.595 | | newstest2016-ende-engdeu.eng.deu | 29.8 | 0.578 | | newstest2017-ende-deueng.deu.eng | 29.0 | 0.557 | | newstest2017-ende-engdeu.eng.deu | 23.9 | 0.534 | | newstest2018-ende-deueng.deu.eng | 35.9 | 0.607 | | newstest2018-ende-engdeu.eng.deu | 34.8 | 0.609 | | newstest2019-deen-deueng.deu.eng | 32.1 | 0.579 | | newstest2019-ende-engdeu.eng.deu | 31.0 | 0.579 | | Tatoeba-test.afr-ang.afr.ang | 0.0 | 0.065 | | Tatoeba-test.afr-deu.afr.deu | 46.8 | 0.668 | | Tatoeba-test.afr-eng.afr.eng | 58.5 | 0.728 | | Tatoeba-test.afr-enm.afr.enm | 13.4 | 0.357 | | Tatoeba-test.afr-fry.afr.fry | 5.3 | 0.026 | | Tatoeba-test.afr-gos.afr.gos | 3.5 | 0.228 | | Tatoeba-test.afr-ltz.afr.ltz | 1.6 | 0.131 | | Tatoeba-test.afr-nld.afr.nld | 55.4 | 0.715 | | Tatoeba-test.afr-yid.afr.yid | 3.4 | 0.008 | | Tatoeba-test.ang-afr.ang.afr | 3.1 | 0.096 | | Tatoeba-test.ang-deu.ang.deu | 2.6 | 0.188 | | Tatoeba-test.ang-eng.ang.eng | 5.4 | 0.211 | | Tatoeba-test.ang-enm.ang.enm | 1.7 | 0.197 | | Tatoeba-test.ang-gos.ang.gos | 6.6 | 0.186 | | Tatoeba-test.ang-ltz.ang.ltz | 5.3 | 0.072 | | Tatoeba-test.ang-yid.ang.yid | 0.9 | 0.131 | | Tatoeba-test.deu-afr.deu.afr | 52.7 | 0.699 | | Tatoeba-test.deu-ang.deu.ang | 0.8 | 0.133 | | Tatoeba-test.deu-eng.deu.eng | 43.5 | 0.621 | | Tatoeba-test.deu-enm.deu.enm | 6.9 | 0.245 | | Tatoeba-test.deu-frr.deu.frr | 0.8 | 0.200 | | Tatoeba-test.deu-fry.deu.fry | 15.1 | 0.367 | | Tatoeba-test.deu-gos.deu.gos | 2.2 | 0.279 | | Tatoeba-test.deu-gsw.deu.gsw | 1.0 | 0.176 | | Tatoeba-test.deu-ksh.deu.ksh | 0.6 | 0.208 | | Tatoeba-test.deu-ltz.deu.ltz | 12.1 | 0.274 | | Tatoeba-test.deu-nds.deu.nds | 18.8 | 0.446 | | Tatoeba-test.deu-nld.deu.nld | 48.6 | 0.669 | | Tatoeba-test.deu-pdc.deu.pdc | 4.6 | 0.198 | | Tatoeba-test.deu-sco.deu.sco | 12.0 | 0.340 | | Tatoeba-test.deu-stq.deu.stq | 3.2 | 0.240 | | Tatoeba-test.deu-swg.deu.swg | 0.5 | 0.179 | | Tatoeba-test.deu-yid.deu.yid | 1.7 | 0.160 | | Tatoeba-test.eng-afr.eng.afr | 55.8 | 0.730 | | Tatoeba-test.eng-ang.eng.ang | 5.7 | 0.157 | | Tatoeba-test.eng-deu.eng.deu | 36.7 | 0.584 | | Tatoeba-test.eng-enm.eng.enm | 2.0 | 0.272 | | Tatoeba-test.eng-frr.eng.frr | 6.1 | 0.246 | | Tatoeba-test.eng-fry.eng.fry | 15.3 | 0.378 | | Tatoeba-test.eng-gos.eng.gos | 1.2 | 0.242 | | Tatoeba-test.eng-gsw.eng.gsw | 0.9 | 0.164 | | Tatoeba-test.eng-ksh.eng.ksh | 0.9 | 0.170 | | Tatoeba-test.eng-ltz.eng.ltz | 13.7 | 0.263 | | Tatoeba-test.eng-nds.eng.nds | 17.1 | 0.410 | | Tatoeba-test.eng-nld.eng.nld | 49.6 | 0.673 | | Tatoeba-test.eng-pdc.eng.pdc | 5.1 | 0.218 | | Tatoeba-test.eng-sco.eng.sco | 34.8 | 0.587 | | Tatoeba-test.eng-stq.eng.stq | 2.1 | 0.322 | | Tatoeba-test.eng-swg.eng.swg | 1.7 | 0.192 | | Tatoeba-test.eng-yid.eng.yid | 1.7 | 0.173 | | Tatoeba-test.enm-afr.enm.afr | 13.4 | 0.397 | | Tatoeba-test.enm-ang.enm.ang | 0.7 | 0.063 | | Tatoeba-test.enm-deu.enm.deu | 41.5 | 0.514 | | Tatoeba-test.enm-eng.enm.eng | 21.3 | 0.483 | | Tatoeba-test.enm-fry.enm.fry | 0.0 | 0.058 | | Tatoeba-test.enm-gos.enm.gos | 10.7 | 0.354 | | Tatoeba-test.enm-ksh.enm.ksh | 7.0 | 0.161 | | Tatoeba-test.enm-nds.enm.nds | 18.6 | 0.316 | | Tatoeba-test.enm-nld.enm.nld | 38.3 | 0.524 | | Tatoeba-test.enm-yid.enm.yid | 0.7 | 0.128 | | Tatoeba-test.frr-deu.frr.deu | 4.1 | 0.219 | | Tatoeba-test.frr-eng.frr.eng | 14.1 | 0.186 | | Tatoeba-test.frr-fry.frr.fry | 3.1 | 0.129 | | Tatoeba-test.frr-gos.frr.gos | 3.6 | 0.226 | | Tatoeba-test.frr-nds.frr.nds | 12.4 | 0.145 | | Tatoeba-test.frr-nld.frr.nld | 9.8 | 0.209 | | Tatoeba-test.frr-stq.frr.stq | 2.8 | 0.142 | | Tatoeba-test.fry-afr.fry.afr | 0.0 | 1.000 | | Tatoeba-test.fry-deu.fry.deu | 30.1 | 0.535 | | Tatoeba-test.fry-eng.fry.eng | 28.0 | 0.486 | | Tatoeba-test.fry-enm.fry.enm | 16.0 | 0.262 | | Tatoeba-test.fry-frr.fry.frr | 5.5 | 0.160 | | Tatoeba-test.fry-gos.fry.gos | 1.6 | 0.307 | | Tatoeba-test.fry-ltz.fry.ltz | 30.4 | 0.438 | | Tatoeba-test.fry-nds.fry.nds | 8.1 | 0.083 | | Tatoeba-test.fry-nld.fry.nld | 41.4 | 0.616 | | Tatoeba-test.fry-stq.fry.stq | 1.6 | 0.217 | | Tatoeba-test.fry-yid.fry.yid | 1.6 | 0.159 | | Tatoeba-test.gos-afr.gos.afr | 6.3 | 0.318 | | Tatoeba-test.gos-ang.gos.ang | 6.2 | 0.058 | | Tatoeba-test.gos-deu.gos.deu | 11.7 | 0.363 | | Tatoeba-test.gos-eng.gos.eng | 14.9 | 0.322 | | Tatoeba-test.gos-enm.gos.enm | 9.1 | 0.398 | | Tatoeba-test.gos-frr.gos.frr | 3.3 | 0.117 | | Tatoeba-test.gos-fry.gos.fry | 13.1 | 0.387 | | Tatoeba-test.gos-ltz.gos.ltz | 3.1 | 0.154 | | Tatoeba-test.gos-nds.gos.nds | 2.4 | 0.206 | | Tatoeba-test.gos-nld.gos.nld | 13.9 | 0.395 | | Tatoeba-test.gos-stq.gos.stq | 2.1 | 0.209 | | Tatoeba-test.gos-yid.gos.yid | 1.7 | 0.147 | | Tatoeba-test.gsw-deu.gsw.deu | 10.5 | 0.350 | | Tatoeba-test.gsw-eng.gsw.eng | 10.7 | 0.299 | | Tatoeba-test.ksh-deu.ksh.deu | 12.0 | 0.373 | | Tatoeba-test.ksh-eng.ksh.eng | 3.2 | 0.225 | | Tatoeba-test.ksh-enm.ksh.enm | 13.4 | 0.308 | | Tatoeba-test.ltz-afr.ltz.afr | 37.4 | 0.525 | | Tatoeba-test.ltz-ang.ltz.ang | 2.8 | 0.036 | | Tatoeba-test.ltz-deu.ltz.deu | 40.3 | 0.596 | | Tatoeba-test.ltz-eng.ltz.eng | 31.7 | 0.490 | | Tatoeba-test.ltz-fry.ltz.fry | 36.3 | 0.658 | | Tatoeba-test.ltz-gos.ltz.gos | 2.9 | 0.209 | | Tatoeba-test.ltz-nld.ltz.nld | 38.8 | 0.530 | | Tatoeba-test.ltz-stq.ltz.stq | 5.8 | 0.165 | | Tatoeba-test.ltz-yid.ltz.yid | 1.0 | 0.159 | | Tatoeba-test.multi.multi | 36.4 | 0.568 | | Tatoeba-test.nds-deu.nds.deu | 35.0 | 0.573 | | Tatoeba-test.nds-eng.nds.eng | 29.6 | 0.495 | | Tatoeba-test.nds-enm.nds.enm | 3.7 | 0.194 | | Tatoeba-test.nds-frr.nds.frr | 6.6 | 0.133 | | Tatoeba-test.nds-fry.nds.fry | 4.2 | 0.087 | | Tatoeba-test.nds-gos.nds.gos | 2.0 | 0.243 | | Tatoeba-test.nds-nld.nds.nld | 41.4 | 0.618 | | Tatoeba-test.nds-swg.nds.swg | 0.6 | 0.178 | | Tatoeba-test.nds-yid.nds.yid | 8.3 | 0.238 | | Tatoeba-test.nld-afr.nld.afr | 59.4 | 0.759 | | Tatoeba-test.nld-deu.nld.deu | 49.9 | 0.685 | | Tatoeba-test.nld-eng.nld.eng | 54.1 | 0.699 | | Tatoeba-test.nld-enm.nld.enm | 5.0 | 0.250 | | Tatoeba-test.nld-frr.nld.frr | 2.4 | 0.224 | | Tatoeba-test.nld-fry.nld.fry | 19.4 | 0.446 | | Tatoeba-test.nld-gos.nld.gos | 2.5 | 0.273 | | Tatoeba-test.nld-ltz.nld.ltz | 13.8 | 0.292 | | Tatoeba-test.nld-nds.nld.nds | 21.3 | 0.457 | | Tatoeba-test.nld-sco.nld.sco | 14.7 | 0.423 | | Tatoeba-test.nld-stq.nld.stq | 1.9 | 0.257 | | Tatoeba-test.nld-swg.nld.swg | 4.2 | 0.162 | | Tatoeba-test.nld-yid.nld.yid | 2.6 | 0.186 | | Tatoeba-test.pdc-deu.pdc.deu | 39.7 | 0.529 | | Tatoeba-test.pdc-eng.pdc.eng | 25.0 | 0.427 | | Tatoeba-test.sco-deu.sco.deu | 28.4 | 0.428 | | Tatoeba-test.sco-eng.sco.eng | 41.8 | 0.595 | | Tatoeba-test.sco-nld.sco.nld | 36.4 | 0.565 | | Tatoeba-test.stq-deu.stq.deu | 7.7 | 0.328 | | Tatoeba-test.stq-eng.stq.eng | 21.1 | 0.428 | | Tatoeba-test.stq-frr.stq.frr | 2.0 | 0.118 | | Tatoeba-test.stq-fry.stq.fry | 6.3 | 0.255 | | Tatoeba-test.stq-gos.stq.gos | 1.4 | 0.244 | | Tatoeba-test.stq-ltz.stq.ltz | 4.4 | 0.204 | | Tatoeba-test.stq-nld.stq.nld | 10.7 | 0.371 | | Tatoeba-test.stq-yid.stq.yid | 1.4 | 0.105 | | Tatoeba-test.swg-deu.swg.deu | 9.5 | 0.343 | | Tatoeba-test.swg-eng.swg.eng | 15.1 | 0.306 | | Tatoeba-test.swg-nds.swg.nds | 0.7 | 0.196 | | Tatoeba-test.swg-nld.swg.nld | 11.6 | 0.308 | | Tatoeba-test.swg-yid.swg.yid | 0.9 | 0.186 | | Tatoeba-test.yid-afr.yid.afr | 100.0 | 1.000 | | Tatoeba-test.yid-ang.yid.ang | 0.6 | 0.079 | | Tatoeba-test.yid-deu.yid.deu | 16.7 | 0.372 | | Tatoeba-test.yid-eng.yid.eng | 15.8 | 0.344 | | Tatoeba-test.yid-enm.yid.enm | 1.3 | 0.166 | | Tatoeba-test.yid-fry.yid.fry | 5.6 | 0.157 | | Tatoeba-test.yid-gos.yid.gos | 2.2 | 0.160 | | Tatoeba-test.yid-ltz.yid.ltz | 2.1 | 0.238 | | Tatoeba-test.yid-nds.yid.nds | 14.4 | 0.365 | | Tatoeba-test.yid-nld.yid.nld | 20.9 | 0.397 | | Tatoeba-test.yid-stq.yid.stq | 3.7 | 0.165 | | Tatoeba-test.yid-swg.yid.swg | 1.8 | 0.156 | ### System Info: - hf_name: gmw-gmw - source_languages: gmw - target_languages: gmw - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] - src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt - src_alpha3: gmw - tgt_alpha3: gmw - short_pair: gmw-gmw - chrF2_score: 0.568 - bleu: 36.4 - brevity_penalty: 1.0 - ref_len: 72534.0 - src_name: West Germanic languages - tgt_name: West Germanic languages - train_date: 2020-07-27 - src_alpha2: gmw - tgt_alpha2: gmw - prefer_old: False - long_pair: gmw-gmw - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-grk-en
2021-01-18T08:53:09.000Z
[ "pytorch", "marian", "seq2seq", "el", "grk", "en", "transformers", "translation", "license:apache-2.0", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "metadata.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
116
transformers
--- language: - el - grk - en tags: - translation license: apache-2.0 --- ### grk-eng * source group: Greek languages * target group: English * OPUS readme: [grk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md) * model: transformer * source language(s): ell grc_Grek * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ell-eng.ell.eng | 65.9 | 0.779 | | Tatoeba-test.grc-eng.grc.eng | 4.1 | 0.187 | | Tatoeba-test.multi.eng | 60.9 | 0.733 | ### System Info: - hf_name: grk-eng - source_languages: grk - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['el', 'grk', 'en'] - src_constituents: {'grc_Grek', 'ell'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt - src_alpha3: grk - tgt_alpha3: eng - short_pair: grk-en - chrF2_score: 0.733 - bleu: 60.9 - brevity_penalty: 0.973 - ref_len: 62205.0 - src_name: Greek languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: grk - tgt_alpha2: en - prefer_old: False - long_pair: grk-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
Helsinki-NLP/opus-mt-guw-de
2021-01-18T08:53:13.000Z
[ "pytorch", "marian", "seq2seq", "guw", "de", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
54
transformers
--- tags: - translation --- ### opus-mt-guw-de * source languages: guw * target languages: de * OPUS readme: [guw-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-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/guw-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.guw.de | 22.7 | 0.434 |
Helsinki-NLP/opus-mt-guw-en
2021-01-18T08:53:18.000Z
[ "pytorch", "marian", "seq2seq", "guw", "en", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
55
transformers
--- tags: - translation --- ### opus-mt-guw-en * source languages: guw * target languages: en * OPUS readme: [guw-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-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/guw-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-en/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.guw.en | 44.8 | 0.601 |
Helsinki-NLP/opus-mt-guw-es
2021-01-18T08:53:23.000Z
[ "pytorch", "marian", "seq2seq", "guw", "es", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
61
transformers
--- tags: - translation --- ### opus-mt-guw-es * source languages: guw * target languages: es * OPUS readme: [guw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.guw.es | 27.2 | 0.457 |
Helsinki-NLP/opus-mt-guw-fi
2021-01-18T08:53:29.000Z
[ "pytorch", "marian", "seq2seq", "guw", "fi", "transformers", "translation", "text2text-generation" ]
translation
[ ".gitattributes", "README.md", "config.json", "pytorch_model.bin", "source.spm", "target.spm", "tokenizer_config.json", "vocab.json" ]
Helsinki-NLP
52
transformers
--- tags: - translation --- ### opus-mt-guw-fi * source languages: guw * target languages: fi * OPUS readme: [guw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-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/guw-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.guw.fi | 27.7 | 0.512 |