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metadata
library_name: transformers
language:
  - ru
  - lez
license: apache-2.0
datasets:
  - leks-forever/bible-lezghian-russian
base_model:
  - intfloat/multilingual-e5-large
pipeline_tag: feature-extraction

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Evaluation

The evaluation was conducted on the val set of the bible-lezghian-russian dataset, consisting of 5% of the total 13,800 parallel sentences.

Results using Sentence Transformers TranslationEvaluator:

  • src2trg_accuracy: 0.73
  • trg2src_accuracy: 0.73
  • mean_accuracy: 0.73