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Bart Base Booksum

Developed by KamilAin
A book summarization generation model based on the BART-base architecture and fine-tuned on the BookSum dataset
Downloads 19
Release Time : 5/23/2022

Model Overview

This model is specifically designed for generating summaries of book content. It is based on the BART-base architecture and fine-tuned on the BookSum dataset, making it suitable for book summarization and general text summarization tasks.

Model Features

Based on BART-base Architecture
Utilizes the BART-base architecture, providing robust text generation and summarization capabilities.
Fine-tuned on BookSum Dataset
The model was fine-tuned for 5 training epochs on the BookSum dataset, optimizing its performance for book summarization.
Supports Multiple Summarization Tasks
Not only suitable for book summarization but also applicable to general text summarization tasks.

Model Capabilities

Text Summarization Generation
Book Content Summarization
General Text Summarization

Use Cases

Book Summarization
Generate Chapter Summaries
Summarize book chapter content to extract key information.
Produces concise summaries containing key information.
General Text Summarization
News Article Summarization
Summarize news articles to extract main content.
Generates news summaries containing core information.
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