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Bart Large Xsum Finetuned Samsum V2
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Bart Large Xsum Finetuned Samsum V2

Developed by amagzari
This model is a text summarization model fine-tuned on the samsum dataset based on facebook/bart-large-xsum, specializing in generating dialogue summaries.
Text Generation
Transformers
Open Source License:MIT#Dialogue Summarization#High ROUGE Score#BART Fine-tuning
Downloads 48
Release Time : 12/13/2022

Model Overview

A BART model optimized for dialogue summarization tasks, fine-tuned on the samsum dataset, capable of compressing dialogue content into concise summaries.

Model Features

Dialogue Summarization Optimization
Specifically optimized for dialogue content, effectively extracting key information to generate summaries
Based on BART Architecture
Utilizes BART-large-xsum as the base model, with powerful sequence-to-sequence generation capabilities
High-Quality Evaluation Metrics
Achieves a Rouge1 score of 54.2 on the samsum test set, demonstrating excellent performance

Model Capabilities

Text summarization generation
Dialogue content compression
Key information extraction

Use Cases

Dialogue Processing
Meeting Minutes Summarization
Automatically generates concise meeting minutes from lengthy meeting dialogues
Saves manual organization time and improves work efficiency
Customer Service Dialogue Summarization
Automatically extracts key issues and solutions from customer service dialogues
Facilitates subsequent analysis and quality checks
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