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Distilbart Cnn 12 6 Ftn Multi News
This model is a text summarization model fine-tuned on the multi_news dataset based on distilbart-cnn-12-6, specifically designed for multi-document summarization tasks.
Downloads 22
Release Time : 7/6/2022
Model Overview
This is a fine-tuned sequence-to-sequence model primarily used for generating concise summaries from multiple documents. Optimized on the multi_news dataset and based on the DistilBART architecture.
Model Features
Efficient summarization generation
Capable of generating high-quality summaries from multiple input documents
Distilled model
Based on the distilled version of BART, reducing model size while maintaining performance
Multi-document processing capability
Specifically optimized for multi-document summarization tasks
Model Capabilities
Multi-document summarization generation
Text compression
Key information extraction
Use Cases
News aggregation
Multi-news source summarization
Generate comprehensive summaries from multiple news sources
Achieved Rouge1 score of 41.6136 on the multi_news dataset
Research literature processing
Multi-paper summarization
Generate comprehensive summaries from multiple related research papers
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