模型:
Helsinki-NLP/opus-mt-en-hy
任务:
许可:
source group: English
target group: Armenian
OPUS readme: eng-hye
model: transformer-align
source language(s): eng
target language(s): hye
model: transformer-align
pre-processing: normalization + SentencePiece (spm4k,spm4k)
download original weights: opus-2020-06-16.zip
test set translations: opus-2020-06-16.test.txt
test set scores: opus-2020-06-16.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng.hye | 16.6 | 0.404 |
hf_name: eng-hye
source_languages: eng
target_languages: hye
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'hy']
src_constituents: {'eng'}
tgt_constituents: {'hye', 'hye_Latn'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k,spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt
src_alpha3: eng
tgt_alpha3: hye
short_pair: en-hy
chrF2_score: 0.40399999999999997
bleu: 16.6
brevity_penalty: 1.0
ref_len: 5115.0
src_name: English
tgt_name: Armenian
train_date: 2020-06-16
src_alpha2: en
tgt_alpha2: hy
prefer_old: False
long_pair: eng-hye
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
源语言组:英语
目标语言组:亚美尼亚语
OPUS自述文件: eng-hye
模型:transformer-align
源语言:eng
目标语言:hye
模型:transformer-align
预处理:归一化 + SentencePiece (spm4k,spm4k)
下载原始权重: opus-2020-06-16.zip
测试集翻译: opus-2020-06-16.test.txt
测试集分数: opus-2020-06-16.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng.hye | 16.6 | 0.404 |
hf名称:eng-hye
源语言:eng
目标语言:hye
OPUS自述文件网址: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md
原始仓库:Tatoeba-Challenge
标签:['translation']
语言:['en','hy']
源构成:{'eng'}
目标构成:{'hye', 'hye_Latn'}
源多语种:False
目标多语种:False
预处理:归一化 + SentencePiece (spm4k,spm4k)
模型网址: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip
测试集网址: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt
源alpha3代码:eng
目标alpha3代码:hye
短语对:en-hy
chrF2分数:0.40399999999999997
bleu得分:16.6
短文惩罚:1.0
引用长度:5115.0
源语言名称:英语
目标语言名称:亚美尼亚语
训练日期:2020-06-16
源alpha2代码:en
目标alpha2代码:hy
偏好旧版本:False
长语对:eng-hye
helsinki Git SHA:480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers Git SHA:2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
端口机器:brutasse
端口时间:2020-08-21-14:41