leks-forever
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multilingual-e5-large

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text-embeddings-inference

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Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Developed by: Leks Forever Team
Language(s) (NLP): Lezghian, Russian
Finetuned from model: intfloat/multilingual-e5-large

Model Sources [optional]

Repository: https://github.com/leks-forever/embed-tuning

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

Downloads last month: 3

Safetensors

Model size

0.6B params

Tensor type

F32

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intfloat/multilingual-e5-large

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Dataset used to train leks-forever/multilingual-e5-large