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Bart Base Samsum
B
Bart Base Samsum
Developed by lidiya
This model is based on the BART architecture, fine-tuned on the SAMSum dialogue dataset for abstractive text summarization, specifically designed for generating dialogue summaries.
Downloads 77
Release Time : 3/2/2022
Model Overview
The model is obtained by fine-tuning facebook/bart-base on the SAMSum dataset, primarily used for abstractive summarization tasks of dialogue texts.
Model Features
Dialogue Summarization Optimization
Specifically optimized for dialogue texts, effectively extracting key information to generate summaries.
Based on BART Architecture
Utilizes the BART-base architecture, combining the advantages of bidirectional encoders and autoregressive decoders.
High-Quality Summaries
Achieves a ROUGE-1 score of approximately 45 on the SAMSum dataset, capable of generating fluent and informative summaries.
Model Capabilities
Dialogue Summarization
Text Compression
Key Information Extraction
Use Cases
Dialogue Processing
Customer Service Dialogue Summarization
Automatically generates summaries of customer service dialogues to help quickly understand the content and solutions.
ROUGE-1 score of approximately 45, effectively retaining key dialogue information.
Meeting Minutes Summarization
Automatically generates concise meeting minutes from dialogue content.
The generated summaries average around 17 words in length, preserving main discussion points.
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