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Helsinki-NLP/opus-mt-urj-urj Helsinki-NLP/opus-mt-urj-urj
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last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1325 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-urj-urj") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-urj-urj")
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urj-urj

  • source group: Uralic languages

  • target group: Uralic languages

  • OPUS readme: urj-urj

  • model: transformer

  • source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro

  • target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro

  • 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

  • test set translations: opus-2020-07-27.test.txt

  • test set scores: opus-2020-07-27.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.est-est.est.est 5.1 0.288
Tatoeba-test.est-fin.est.fin 50.9 0.709
Tatoeba-test.est-fkv.est.fkv 0.7 0.215
Tatoeba-test.est-vep.est.vep 1.0 0.154
Tatoeba-test.fin-est.fin.est 55.5 0.718
Tatoeba-test.fin-fkv.fin.fkv 1.8 0.254
Tatoeba-test.fin-hun.fin.hun 45.0 0.672
Tatoeba-test.fin-izh.fin.izh 7.1 0.492
Tatoeba-test.fin-krl.fin.krl 2.6 0.278
Tatoeba-test.fkv-est.fkv.est 0.6 0.099
Tatoeba-test.fkv-fin.fkv.fin 15.5 0.444
Tatoeba-test.fkv-liv.fkv.liv 0.6 0.101
Tatoeba-test.fkv-vep.fkv.vep 0.6 0.113
Tatoeba-test.hun-fin.hun.fin 46.3 0.675
Tatoeba-test.izh-fin.izh.fin 13.4 0.431
Tatoeba-test.izh-krl.izh.krl 2.9 0.078
Tatoeba-test.krl-fin.krl.fin 14.1 0.439
Tatoeba-test.krl-izh.krl.izh 1.0 0.125
Tatoeba-test.liv-fkv.liv.fkv 0.9 0.170
Tatoeba-test.liv-vep.liv.vep 2.6 0.176
Tatoeba-test.multi.multi 32.9 0.580
Tatoeba-test.vep-est.vep.est 3.4 0.265
Tatoeba-test.vep-fkv.vep.fkv 0.9 0.239
Tatoeba-test.vep-liv.vep.liv 2.6 0.190

System Info:

  • hf_name: urj-urj

  • source_languages: urj

  • target_languages: urj

  • opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['se', 'fi', 'hu', 'et', 'urj']

  • src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}

  • tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}

  • src_multilingual: True

  • tgt_multilingual: True

  • prepro: normalization + SentencePiece (spm32k,spm32k)

  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip

  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt

  • src_alpha3: urj

  • tgt_alpha3: urj

  • short_pair: urj-urj

  • chrF2_score: 0.58

  • bleu: 32.9

  • brevity_penalty: 1.0

  • ref_len: 19444.0

  • src_name: Uralic languages

  • tgt_name: Uralic languages

  • train_date: 2020-07-27

  • src_alpha2: urj

  • tgt_alpha2: urj

  • prefer_old: False

  • long_pair: urj-urj

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41