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Flan T5 Base Samsum
A text generation model fine-tuned on the samsum dialogue summarization dataset based on Google's flan-t5-base model, excelling in dialogue summarization tasks
Downloads 15
Release Time : 2/18/2023
Model Overview
This model is a version specifically optimized for dialogue summarization tasks, achieving a Rouge1 score of 46.89 on the samsum test set. Suitable for extracting key information from dialogues to generate concise summaries.
Model Features
Dialogue Summarization Optimization
Specifically fine-tuned for dialogue scenarios, effectively identifying key information in conversations
Efficient Generation
Average generation length of about 17 tokens, maintaining summary conciseness
Multi-turn Dialogue Understanding
Capable of handling complex dialogue scenarios involving multiple alternating turns
Model Capabilities
Dialogue Summarization Generation
Text Compression
Key Information Extraction
Use Cases
Customer Service Dialogue Analysis
Customer Service Dialogue Summary
Automatically generates summaries of key issues and solutions from customer service dialogues
Rouge1 score of 46.89, accurately capturing key points of the dialogue
Meeting Minutes
Meeting Minutes Generation
Extracts decision points and action items from multi-party dialogues
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