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Mt5 Base Arabic

Developed by eslamxm
A summarization generation model fine-tuned on the xlsum Arabic dataset based on google/mt5-base
Downloads 24
Release Time : 5/9/2022

Model Overview

This model is specifically designed for abstractive summarization tasks of Arabic text, fine-tuned on news summarization datasets using the MT5 architecture

Model Features

Arabic language optimization
Specially optimized for Arabic text characteristics
Abstractive summarization capability
Capable of generating non-extractive abstractive summaries
Multi-metric balance
Balanced performance across multiple evaluation metrics like Rouge and Bertscore

Model Capabilities

Arabic text comprehension
News summarization generation
Long text compression

Use Cases

News media
Automatic Arabic news summarization
Generating concise summaries for Arabic news articles
Achieved Rouge-1 score of 22.86 on test set
Content analysis
Key information extraction from Arabic documents
Extracting core content from long documents
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