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Arat5v2 XLSum Arabic Text Summarization

Developed by omarsabri8756
An Arabic text summarization model fine-tuned based on AraT5v2, optimized for news and long-text summarization
Downloads 166
Release Time : 5/10/2025

Model Overview

This model is a specialized version for Arabic text summarization, fine-tuned from AraT5v2-base-1024 and trained on the XLSum dataset. It can generate fluent and concise summaries for Arabic news and long texts.

Model Features

Arabic language optimization
Specially optimized for Arabic text characteristics, handling complex Arabic morphological variations
Specialized for news summarization
Trained on the XLSum news dataset, particularly suitable for generating summaries of news texts
Length control
Supports setting maximum/minimum summary length to ensure output meets requirements

Model Capabilities

Arabic text comprehension
Long-text summarization generation
News content condensation

Use Cases

News media
Automatic summarization of Arabic news
Automatically generates content summaries for Arabic news websites
Rouge-L score 0.269
Content analysis
Long document content extraction
Extracts key information from long Arabic documents
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