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Roberta Amharic Embed Medium

Developed by yosefw
An Amharic language sentence transformer based on the RoBERTa architecture, designed for sentence similarity calculation and feature extraction.
Downloads 15
Release Time : 2/18/2025

Model Overview

This model is specifically optimized for the Amharic language, capable of converting sentences into high-dimensional vector representations for tasks such as sentence similarity calculation and semantic search.

Model Features

Amharic Language Optimization
Specially trained and optimized for the Amharic language, better capturing its semantic features.
Dual Loss Function Training
Trained using both MatryoshkaLoss and MultipleNegativesRankingLoss to enhance model performance.
Large-scale Training Data
Trained on 54,900 data points, providing strong generalization capabilities.

Model Capabilities

Sentence vectorization
Semantic similarity calculation
Feature extraction
Semantic search

Use Cases

Information Retrieval
News Similarity Analysis
Analyze semantic similarity between different news articles
Effectively identifies different news articles reporting the same event
Content Recommendation
Related Content Recommendation
Recommend related content based on semantic similarity
Improves user content discovery efficiency
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