en-he
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source group: English
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target group: Hebrew
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OPUS readme: eng-heb
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model: transformer
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source language(s): eng
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target language(s): heb
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model: transformer
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pre-processing: normalization + SentencePiece (spm32k,spm32k)
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download original weights: opus-2020-10-04.zip
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test set translations: opus-2020-10-04.test.txt
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test set scores: opus-2020-10-04.eval.txt
Benchmarks
testset | BLEU | chr-F |
---|---|---|
Tatoeba-test.eng.heb | 37.9 | 0.602 |
System Info:
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hf_name: en-he
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source_languages: eng
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target_languages: heb
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opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-heb/README.md
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original_repo: Tatoeba-Challenge
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tags: ['translation']
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languages: ['en', 'he']
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src_constituents: ('English', {'eng'})
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tgt_constituents: ('Hebrew', {'heb'})
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src_multilingual: False
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tgt_multilingual: False
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long_pair: eng-heb
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prepro: normalization + SentencePiece (spm32k,spm32k)
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url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.zip
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url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-heb/opus-2020-10-04.test.txt
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src_alpha3: eng
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tgt_alpha3: heb
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chrF2_score: 0.602
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bleu: 37.9
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brevity_penalty: 1.0
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ref_len: 60359.0
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src_name: English
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tgt_name: Hebrew
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train_date: 2020-10-04 00:00:00
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src_alpha2: en
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tgt_alpha2: he
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prefer_old: False
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short_pair: en-he
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helsinki_git_sha: 7b1a514877868084fd74350d261519e092b5b2dc
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transformers_git_sha: 8e58566183ee49f9dbc4819a95a678fcfb1b7528
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port_machine: MacBook-Pro.local
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port_time: 2020-10-11-13:07