DistilBART - CNN - 6 - 6 Open-source Text Summarization Model: Boost Efficiency and Help Rapidly Extract Key Points of Content

Distilbart Cnn 6 6

Developed by sshleifer

DistilBART is a distilled version of the BART model, optimized for text summarization tasks, significantly improving inference speed while maintaining high performance.

Text Generation EnglishOpen Source License:Apache-2.0 #Text Summarization #Efficient Inference #News Summarization

Downloads 48.17k

Release Time : 3/2/2022

Model Overview

A distilled model based on the BART architecture for generative text summarization tasks, specifically optimized for news summarization scenarios.

Model Features

Efficient Inference

2.54x faster than the original BART with 45% fewer parameters

Multiple Configuration Options

Offers 6 variants with different parameter sizes to balance performance and efficiency

Dual Dataset Optimization

Versions specifically optimized for CNN/DailyMail and XSum datasets

Model Capabilities

Generative Text Summarization

Long Text Compression

News Key Point Extraction

Use Cases

News Media

Automatic News Summarization

Compress lengthy news reports into concise summaries

Achieves 22.12 ROUGE-2 score on the XSum dataset

Content Analysis

Document Key Information Extraction

Automatically extract core content from long documents

Achieves 21.26 ROUGE-2 score on the CNN/DailyMail dataset

Property	Details
Model Type	Text Summarization
Training Data	cnn_dailymail, xsum

Model Name	MM Params	Inference Time (MS)	Speedup	Rouge 2	Rouge-L
distilbart-xsum-12-1	222	90	2.54	18.31	33.37
distilbart-xsum-6-6	230	132	1.73	20.92	35.73
distilbart-xsum-12-3	255	106	2.16	21.37	36.39
distilbart-xsum-9-6	268	136	1.68	21.72	36.61
bart-large-xsum (baseline)	406	229	1	21.85	36.50
distilbart-xsum-12-6	306	137	1.68	22.12	36.99
bart-large-cnn (baseline)	406	381	1	21.06	30.63
distilbart-12-3-cnn	255	214	1.78	20.57	30.00
distilbart-12-6-cnn	306	307	1.24	21.26	30.59
distilbart-6-6-cnn	230	182	2.09	20.17	29.70

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Distilbart Cnn 6 6

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 DistilBART Model

🚀 Quick Start

💻 Usage Examples

Basic Usage

📚 Documentation

Metrics for DistilBART models

📄 License