Edit model card

gmq-gmq

  • source group: North Germanic languages

  • target group: North Germanic languages

  • OPUS readme: gmq-gmq

  • model: transformer

  • source language(s): dan fao isl nno nob swe

  • target language(s): dan fao isl nno nob swe

  • 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.dan-fao.dan.fao 8.1 0.173
Tatoeba-test.dan-isl.dan.isl 52.5 0.827
Tatoeba-test.dan-nor.dan.nor 62.8 0.772
Tatoeba-test.dan-swe.dan.swe 67.6 0.802
Tatoeba-test.fao-dan.fao.dan 11.3 0.306
Tatoeba-test.fao-isl.fao.isl 26.3 0.359
Tatoeba-test.fao-nor.fao.nor 36.8 0.531
Tatoeba-test.fao-swe.fao.swe 0.0 0.632
Tatoeba-test.isl-dan.isl.dan 67.0 0.739
Tatoeba-test.isl-fao.isl.fao 14.5 0.243
Tatoeba-test.isl-nor.isl.nor 51.8 0.674
Tatoeba-test.isl-swe.isl.swe 100.0 1.000
Tatoeba-test.multi.multi 64.7 0.782
Tatoeba-test.nor-dan.nor.dan 65.6 0.797
Tatoeba-test.nor-fao.nor.fao 9.4 0.362
Tatoeba-test.nor-isl.nor.isl 38.8 0.587
Tatoeba-test.nor-nor.nor.nor 51.9 0.721
Tatoeba-test.nor-swe.nor.swe 66.5 0.789
Tatoeba-test.swe-dan.swe.dan 67.6 0.802
Tatoeba-test.swe-fao.swe.fao 0.0 0.268
Tatoeba-test.swe-isl.swe.isl 65.8 0.914
Tatoeba-test.swe-nor.swe.nor 60.6 0.755

System Info:

  • hf_name: gmq-gmq

  • source_languages: gmq

  • target_languages: gmq

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

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']

  • src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}

  • tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}

  • src_multilingual: True

  • tgt_multilingual: True

  • prepro: normalization + SentencePiece (spm32k,spm32k)

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

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

  • src_alpha3: gmq

  • tgt_alpha3: gmq

  • short_pair: gmq-gmq

  • chrF2_score: 0.782

  • bleu: 64.7

  • brevity_penalty: 0.9940000000000001

  • ref_len: 49385.0

  • src_name: North Germanic languages

  • tgt_name: North Germanic languages

  • train_date: 2020-07-27

  • src_alpha2: gmq

  • tgt_alpha2: gmq

  • prefer_old: False

  • long_pair: gmq-gmq

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41

Downloads last month
21
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-gmq-gmq 7