Edit model card
YAML Metadata Error: "language[2]" must only contain lowercase characters
YAML Metadata Error: "language[2]" with value "csb_Latn" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
YAML Metadata Error: "language[9]" must only contain lowercase characters
YAML Metadata Error: "language[9]" with value "liv_Latn" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
YAML Metadata Error: "language[12]" must only contain lowercase characters
YAML Metadata Error: "language[12]" with value "fkv_Latn" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.

zlw-fiu

  • source language name: West Slavic languages
  • target language name: Finno-Ugrian languages
  • OPUS readme: README.md
  • model: transformer
  • source language codes: dsb, cs, csb_Latn, hsb, pl, zlw
  • target language codes: hu, vro, fi, liv_Latn, mdf, krl, fkv_Latn, mhr, et, sma, udm, vep, myv, kpv, se, izh, fiu
  • dataset: opus
  • release date: 2021-02-18
  • pre-processing: normalization + SentencePiece (spm32k,spm32k)
  • download original weights: opus-2021-02-18.zip
  • a sentence-initial language token is required in the form of >>id<<(id = valid, usually three-letter target language ID)
  • Training data:
    • ces-fin: Tatoeba-train (1000000)
    • ces-hun: Tatoeba-train (1000000)
    • pol-est: Tatoeba-train (1000000)
    • pol-fin: Tatoeba-train (1000000)
    • pol-hun: Tatoeba-train (1000000)
  • Validation data:
    • ces-fin: Tatoeba-dev, 1000
    • ces-hun: Tatoeba-dev, 1000
    • est-pol: Tatoeba-dev, 1000
    • fin-pol: Tatoeba-dev, 1000
    • hun-pol: Tatoeba-dev, 1000
    • mhr-pol: Tatoeba-dev, 461
    • total-size-shuffled: 5426
    • devset-selected: top 5000 lines of Tatoeba-dev.src.shuffled!
  • Test data:
    • newssyscomb2009.ces-hun: 502/9733
    • newstest2009.ces-hun: 2525/54965
    • Tatoeba-test.ces-fin: 88/408
    • Tatoeba-test.ces-hun: 1911/10336
    • Tatoeba-test.multi-multi: 4562/25497
    • Tatoeba-test.pol-chm: 5/36
    • Tatoeba-test.pol-est: 15/98
    • Tatoeba-test.pol-fin: 609/3293
    • Tatoeba-test.pol-hun: 1934/11285
  • test set translations file: test.txt
  • test set scores file: eval.txt
  • BLEU-scores
    Test set score
    Tatoeba-test.ces-fin 57.2
    Tatoeba-test.ces-hun 42.6
    Tatoeba-test.multi-multi 39.4
    Tatoeba-test.pol-hun 36.6
    Tatoeba-test.pol-fin 36.1
    Tatoeba-test.pol-est 20.9
    newssyscomb2009.ces-hun 13.9
    newstest2009.ces-hun 13.9
    Tatoeba-test.pol-chm 2.0
  • chr-F-scores
    Test set score
    Tatoeba-test.ces-fin 0.71
    Tatoeba-test.ces-hun 0.637
    Tatoeba-test.multi-multi 0.616
    Tatoeba-test.pol-hun 0.605
    Tatoeba-test.pol-fin 0.592
    newssyscomb2009.ces-hun 0.449
    newstest2009.ces-hun 0.443
    Tatoeba-test.pol-est 0.372
    Tatoeba-test.pol-chm 0.007

System Info:

  • hf_name: zlw-fiu
  • source_languages: dsb,cs,csb_Latn,hsb,pl,zlw
  • target_languages: hu,vro,fi,liv_Latn,mdf,krl,fkv_Latn,mhr,et,sma,udm,vep,myv,kpv,se,izh,fiu
  • opus_readme_url: https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-18.zip/README.md
  • original_repo: Tatoeba-Challenge
  • tags: ['translation']
  • languages: ['dsb', 'cs', 'csb_Latn', 'hsb', 'pl', 'zlw', 'hu', 'vro', 'fi', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'et', 'sma', 'udm', 'vep', 'myv', 'kpv', 'se', 'izh', 'fiu']
  • src_constituents: ['dsb', 'ces', 'csb_Latn', 'hsb', 'pol']
  • tgt_constituents: ['hun', 'vro', 'fin', 'liv_Latn', 'mdf', 'krl', 'fkv_Latn', 'mhr', 'est', 'sma', 'udm', 'vep', 'myv', 'kpv', 'sme', 'izh']
  • src_multilingual: True
  • tgt_multilingual: True
  • helsinki_git_sha: a0966db6db0ae616a28471ff0faf461b36fec07d
  • transformers_git_sha: 3857f2b4e34912c942694489c2b667d9476e55f5
  • port_machine: bungle
  • port_time: 2021-06-29-15:24
Downloads last month
5
Safetensors
Model size
74.8M params
Tensor type
FP16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Spaces using Helsinki-NLP/opus-mt-zlw-fiu 7