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--- |
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library_name: transformers |
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language: |
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- ru |
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- lez |
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license: apache-2.0 |
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datasets: |
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- leks-forever/bible-lezghian-russian |
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base_model: |
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- intfloat/multilingual-e5-large |
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pipeline_tag: feature-extraction |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** Leks Forever Team |
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- **Language(s) (NLP):** Lezghian, Russian |
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- **Finetuned from model:** [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/leks-forever/embed-tuning |
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## Evaluation |
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The evaluation was conducted on the val set of the [bible-lezghian-russian](https://huggingface.co/datasets/leks-forever/bible-lezghian-russian) dataset, consisting of 5% of the total 13,800 parallel sentences. |
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Results using `Sentence Transformers` [TranslationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#translationevaluator): |
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* src2trg_accuracy: 0.73 |
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* trg2src_accuracy: 0.73 |
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* mean_accuracy: 0.73 |
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