readme: ---
  language: 
  - en
  - so
  - ti
  - am
  - he
  - mt
  - ar
  - afa
  
  tags:
  - translation
  
  license: apache-2.0
  ---
  
  ### eng-afa
  
  * source group: English 
  * target group: Afro-Asiatic languages 
  *  OPUS readme: [eng-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md)
  
  *  model: transformer
  * source language(s): eng
  * target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
  * 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip)
  * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt)
  * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.eval.txt)
  
  ## Benchmarks
  
  | testset               | BLEU  | chr-F |
  |-----------------------|-------|-------|
  | Tatoeba-test.eng-amh.eng.amh 	| 11.6 	| 0.504 |
  | Tatoeba-test.eng-ara.eng.ara 	| 12.0 	| 0.404 |
  | Tatoeba-test.eng-hau.eng.hau 	| 10.2 	| 0.429 |
  | Tatoeba-test.eng-heb.eng.heb 	| 32.3 	| 0.551 |
  | Tatoeba-test.eng-kab.eng.kab 	| 1.6 	| 0.191 |
  | Tatoeba-test.eng-mlt.eng.mlt 	| 17.7 	| 0.551 |
  | Tatoeba-test.eng.multi 	| 14.4 	| 0.375 |
  | Tatoeba-test.eng-rif.eng.rif 	| 1.7 	| 0.103 |
  | Tatoeba-test.eng-shy.eng.shy 	| 0.8 	| 0.090 |
  | Tatoeba-test.eng-som.eng.som 	| 16.0 	| 0.429 |
  | Tatoeba-test.eng-tir.eng.tir 	| 2.7 	| 0.238 |
  
  
  ### System Info: 
  - hf_name: eng-afa
  
  - source_languages: eng
  
  - target_languages: afa
  
  - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md
  
  - original_repo: Tatoeba-Challenge
  
  - tags: ['translation']
  
  - languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']
  
  - src_constituents: {'eng'}
  
  - tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
  
  - src_multilingual: False
  
  - tgt_multilingual: True
  
  - prepro:  normalization + SentencePiece (spm32k,spm32k)
  
  - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip
  
  - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt
  
  - src_alpha3: eng
  
  - tgt_alpha3: afa
  
  - short_pair: en-afa
  
  - chrF2_score: 0.375
  
  - bleu: 14.4
  
  - brevity_penalty: 1.0
  
  - ref_len: 58110.0
  
  - src_name: English
  
  - tgt_name: Afro-Asiatic languages
  
  - train_date: 2020-08-01
  
  - src_alpha2: en
  
  - tgt_alpha2: afa
  
  - prefer_old: False
  
  - long_pair: eng-afa
  
  - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
  
  - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
  
  - port_machine: brutasse
  
  - port_time: 2020-08-21-14:41