gmq-eng
source group: North Germanic languages
target group: English
OPUS readme: gmq-eng
model: transformer
source language(s): dan fao isl nno nob nob_Hebr non_Latn swe
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus2m-2020-07-26.zip
test set translations: opus2m-2020-07-26.test.txt
test set scores: opus2m-2020-07-26.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.multi.eng | 58.1 | 0.720 |
System Info:
hf_name: gmq-eng
source_languages: gmq
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']
src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt
src_alpha3: gmq
tgt_alpha3: eng
short_pair: gmq-en
chrF2_score: 0.72
bleu: 58.1
brevity_penalty: 0.982
ref_len: 72641.0
src_name: North Germanic languages
tgt_name: English
train_date: 2020-07-26
src_alpha2: gmq
tgt_alpha2: en
prefer_old: False
long_pair: gmq-eng
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 6bdf998dffa70030e42f512a586f33a15e648edd
port_machine: brutasse
port_time: 2020-08-19-00:09