gsarti/opus-mt-tc-en-pl

OPUS Tatoeba English-Polish

This model was obtained by running the script convert_marian_to_pytorch.py with the flag -m eng-pol. The original models were trained by J�rg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.

• source language name: English

• target language name: Polish

• OPUS readme: README.md

• model: transformer

• source language code: en

• target language code: pl

• dataset: opus

• release date: 2021-02-19

• pre-processing: normalization + SentencePiece (spm32k,spm32k)

• download original weights: opus-2021-02-19.zip

• Training data:

  • eng-pol: Tatoeba-train (59742979)

• Validation data:

  • eng-pol: Tatoeba-dev, 44146
  • total-size-shuffled: 44145
  • devset-selected: top 5000 lines of Tatoeba-dev.src.shuffled!

• Test data:

  • Tatoeba-test.eng-pol: 10000/64925

• test set translations file: test.txt

• test set scores file: eval.txt

• BLEU-scores

  Test set	score
  Tatoeba-test.eng-pol	47.5

• chr-F-scores

  Test set	score
  Tatoeba-test.eng-pol	0.673

System Info:

• hf_name: eng-pol
• source_languages: en
• target_languages: pl
• opus_readme_url: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pol/opus-2021-02-19.zip/README.md
• original_repo: Tatoeba-Challenge
• tags: ['translation']
• languages: ['en', 'pl']
• src_constituents: ['eng']
• tgt_constituents: ['pol']
• src_multilingual: False
• tgt_multilingual: False
• helsinki_git_sha: 70b0a9621f054ef1d8ea81f7d55595d7f64d19ff
• transformers_git_sha: 7c6cd0ac28f1b760ccb4d6e4761f13185d05d90b
• port_machine: databox
• port_time: 2021-10-18-15:11