Edit model card

afa-afa

  • source group: Afro-Asiatic languages

  • target group: Afro-Asiatic languages

  • OPUS readme: afa-afa

  • model: transformer

  • source language(s): apc ara arq arz heb kab mlt shy_Latn thv

  • target language(s): apc ara arq arz heb kab mlt shy_Latn thv

  • 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.ara-ara.ara.ara 4.3 0.148
Tatoeba-test.ara-heb.ara.heb 31.9 0.525
Tatoeba-test.ara-kab.ara.kab 0.3 0.120
Tatoeba-test.ara-mlt.ara.mlt 14.0 0.428
Tatoeba-test.ara-shy.ara.shy 1.3 0.050
Tatoeba-test.heb-ara.heb.ara 17.0 0.464
Tatoeba-test.heb-kab.heb.kab 1.9 0.104
Tatoeba-test.kab-ara.kab.ara 0.3 0.044
Tatoeba-test.kab-heb.kab.heb 5.1 0.099
Tatoeba-test.kab-shy.kab.shy 2.2 0.009
Tatoeba-test.kab-tmh.kab.tmh 10.7 0.007
Tatoeba-test.mlt-ara.mlt.ara 29.1 0.498
Tatoeba-test.multi.multi 20.8 0.434
Tatoeba-test.shy-ara.shy.ara 1.2 0.053
Tatoeba-test.shy-kab.shy.kab 2.0 0.134
Tatoeba-test.tmh-kab.tmh.kab 0.0 0.047

System Info:

  • hf_name: afa-afa

  • source_languages: afa

  • target_languages: afa

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

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']

  • src_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}

  • tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}

  • src_multilingual: True

  • tgt_multilingual: True

  • prepro: normalization + SentencePiece (spm32k,spm32k)

  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afa-afa/opus-2020-07-26.zip

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

  • src_alpha3: afa

  • tgt_alpha3: afa

  • short_pair: afa-afa

  • chrF2_score: 0.434

  • bleu: 20.8

  • brevity_penalty: 1.0

  • ref_len: 15215.0

  • src_name: Afro-Asiatic languages

  • tgt_name: Afro-Asiatic languages

  • train_date: 2020-07-26

  • src_alpha2: afa

  • tgt_alpha2: afa

  • prefer_old: False

  • long_pair: afa-afa

  • helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

  • transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

  • port_machine: brutasse

  • port_time: 2020-08-21-14:41

Downloads last month
20
Inference API
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-afa-afa 2