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Mt5 Multilingual XLSum Finetuned Fa Finetuned Ar
A multilingual summarization model based on mT5, specifically fine-tuned for Arabic on the XLSum dataset
Downloads 13
Release Time : 6/8/2022
Model Overview
This model is a multilingual text summarization model based on the mT5 architecture, fine-tuned twice (first for Persian then for Arabic), specifically designed for generating Arabic news summaries.
Model Features
Arabic optimization
Specifically optimized for Arabic text summarization tasks
Multi-stage fine-tuning
Initially fine-tuned for Persian, then secondarily fine-tuned for Arabic
High-quality summarization
Achieves Rouge-1 score of 28.69 on the XLSum dataset
Model Capabilities
Arabic text summarization
Multilingual text processing
Abstractive summarization
Use Cases
News media
Arabic news summarization
Automatically generates concise summaries of Arabic news articles
Average generation length of 41.37 tokens
Content analysis
Multi-document summarization
Generates comprehensive summaries from multiple Arabic documents
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