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Bart Large Cnn Samsum
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Bart Large Cnn Samsum

Developed by AdamCodd
A dialogue summarization generation model fine-tuned on the SAMSum dataset based on the BART-large architecture
Text Generation
Transformers
Open Source License:Apache-2.0#Dialogue Summarization#High ROUGE Score#Sequence-to-Sequence
Downloads 18
Release Time : 10/4/2023

Model Overview

This model is a fine-tuned version of BART-large-cnn on the SAMSum dialogue dataset, specifically designed for generating high-quality summaries from dialogue text.

Model Features

High-Quality Dialogue Summarization
Fine-tuned on the human-annotated SAMSum dialogue dataset, capable of generating accurate dialogue summaries
Based on BART-large Architecture
Utilizes the powerful BART-large pre-trained model as its foundation, with excellent sequence-to-sequence capabilities
Optimized Training Parameters
Trained with carefully tuned hyperparameters, including a learning rate of 3e-05 and linear learning rate scheduling

Model Capabilities

Dialogue summarization generation
Text compression
Key information extraction

Use Cases

Dialogue Analysis
Customer Service Dialogue Summarization
Automatically generates key summaries of customer service dialogues
ROUGE-1 score 43.6283
Meeting Minutes Summarization
Extracts key decisions and action items from meeting dialogues
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