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Mbart Finetuned Fa
M
Mbart Finetuned Fa
Developed by eslamxm
A generative summarization model fine-tuned on Persian summarization datasets based on MBART-large-50
Downloads 49
Release Time : 6/17/2022
Model Overview
This model is a fine-tuned version of facebook/mbart-large-50, specifically designed for generative summarization tasks in Persian. Trained on the pn_summary dataset, it can produce high-quality text summaries.
Model Features
Persian optimization
Specially fine-tuned for Persian text, optimizing summarization quality
Multilingual foundation
Based on MBART-large-50 model with strong multilingual understanding capabilities
Generative summarization
Capable of producing fluent and coherent text summaries rather than simple extraction
Model Capabilities
Persian text comprehension
Generative summarization
Long text compression
Use Cases
News media
News article summarization
Automatically generate concise summaries of Persian news articles
Rouge-1 score of 44.07 indicates good summarization quality
Academic research
Thesis abstract generation
Generate concise abstracts for Persian academic papers
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