Flan T5 Large Finetuned Openai Summarize From Feedback
A text summarization model fine-tuned on feedback-based summarization datasets, based on google/flan-t5-large
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Release Time : 1/7/2023
Model Overview
This model is a fine-tuned version of flan-t5-large, specifically designed for generating text summaries. Trained on feedback-based summarization datasets, it can produce high-quality summaries from input texts.
Model Features
Feedback-based Fine-tuning
Fine-tuned using human feedback-based summarization datasets to generate higher-quality summaries
Multi-metric Optimization
Performs well on multiple metrics including Rouge1, Rouge2, and RougeL
Lightweight Deployment
Based on the T5 architecture, making it easier to deploy and use compared to larger models
Model Capabilities
Text summarization generation
Content condensation
Key information extraction
Use Cases
Content Summarization
News Article Summarization
Condense lengthy news articles into concise summaries
Rouge1 score 30.24
Research Report Summarization
Automatically generate key-point summaries for academic or technical reports
RougeLSum score 26.18
Content Creation Assistance
Writing Assistance
Help authors quickly grasp the core content of long documents
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