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Helsinki-NLP/opus-mt-fiu-fiu Helsinki-NLP/opus-mt-fiu-fiu
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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-fiu-fiu") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-fiu-fiu")
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fiu-fiu

  • source group: Finno-Ugrian languages

  • target group: Finno-Ugrian languages

  • OPUS readme: fiu-fiu

  • 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-2020-07-26.zip

  • test set translations: opus-2020-07-26.test.txt

  • test set scores: opus-2020-07-26.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.est-est.est.est 2.0 0.252
Tatoeba-test.est-fin.est.fin 51.0 0.704
Tatoeba-test.est-fkv.est.fkv 1.1 0.211
Tatoeba-test.est-vep.est.vep 3.1 0.272
Tatoeba-test.fin-est.fin.est 55.2 0.722
Tatoeba-test.fin-fkv.fin.fkv 1.6 0.207
Tatoeba-test.fin-hun.fin.hun 42.4 0.663
Tatoeba-test.fin-izh.fin.izh 12.9 0.509
Tatoeba-test.fin-krl.fin.krl 4.6 0.292
Tatoeba-test.fkv-est.fkv.est 2.4 0.148
Tatoeba-test.fkv-fin.fkv.fin 15.1 0.427
Tatoeba-test.fkv-liv.fkv.liv 1.2 0.261
Tatoeba-test.fkv-vep.fkv.vep 1.2 0.233
Tatoeba-test.hun-fin.hun.fin 47.8 0.681
Tatoeba-test.izh-fin.izh.fin 24.0 0.615
Tatoeba-test.izh-krl.izh.krl 1.8 0.114
Tatoeba-test.krl-fin.krl.fin 13.6 0.407
Tatoeba-test.krl-izh.krl.izh 2.7 0.096
Tatoeba-test.liv-fkv.liv.fkv 1.2 0.164
Tatoeba-test.liv-vep.liv.vep 3.4 0.181
Tatoeba-test.multi.multi 36.7 0.581
Tatoeba-test.vep-est.vep.est 3.4 0.251
Tatoeba-test.vep-fkv.vep.fkv 1.2 0.215
Tatoeba-test.vep-liv.vep.liv 3.4 0.179

System Info:

  • hf_name: fiu-fiu

  • source_languages: fiu

  • target_languages: fiu

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

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

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

  • 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/fiu-fiu/opus-2020-07-26.zip

  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt

  • src_alpha3: fiu

  • tgt_alpha3: fiu

  • short_pair: fiu-fiu

  • chrF2_score: 0.581

  • bleu: 36.7

  • brevity_penalty: 0.981

  • ref_len: 19444.0

  • src_name: Finno-Ugrian languages

  • tgt_name: Finno-Ugrian languages

  • train_date: 2020-07-26

  • src_alpha2: fiu

  • tgt_alpha2: fiu

  • prefer_old: False

  • long_pair: fiu-fiu

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41