leks-forever
/

LaBSE

@@ -1,12 +1,19 @@
 ---
 library_name: transformers
-tags: []
 ---
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-<!-- {'e5-test_src2trg_accuracy': 0.7353154459753445, 'e5-test_trg2src_accuracy': 0.7361856417693982, 'e5-test_mean_accuracy': 0.7357505438723713} -->
 ## Model Details
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 ---
 library_name: transformers
+language:
+- ru
+- lez
+license: apache-2.0
+datasets:
+- leks-forever/bible-lezghian-russian
+base_model:
+- sentence-transformers/LaBSE
+pipeline_tag: feature-extraction
 ---
 # Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
 ## Model Details
 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:** [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)
 ### Model Sources [optional]
 <!-- Provide the basic links for the model. -->
+- **Repository:** https://github.com/leks-forever/embed-tuning
 ## Evaluation
+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.
+`Sentence Transformers` [TranslationEvaluator](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#translationevaluator):
+* src2trg_accuracy: 0.74
+* trg2src_accuracy: 0.74
+* mean_accuracy: 0.74
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