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Flan T5 Small Finetuned Openai Summarize From Feedback
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Flan T5 Small Finetuned Openai Summarize From Feedback

Developed by mrm8488
This model is a fine-tuned version of google/flan-t5-small on the summarize_from_feedback dataset, primarily designed for text summarization tasks.
Text Generation
Transformers
Open Source License:Apache-2.0#Text Summarization Generation#Fine-tuned Flan-T5#Rouge Optimization
Downloads 33
Release Time : 1/3/2023

Model Overview

This model is a text summarization model fine-tuned based on the Flan-T5-small architecture, trained on the summarize_from_feedback dataset, capable of generating high-quality text summaries.

Model Features

High-Quality Summarization
Fine-tuned on the summarize_from_feedback dataset, capable of generating high-quality text summaries
Optimized Training
Optimized through 6 rounds of training with good Rouge metric performance
Efficient Inference
Based on the Flan-T5-small architecture, offering high inference efficiency

Model Capabilities

Text summarization
Sequence-to-sequence language modeling

Use Cases

Text Processing
Article Summarization
Generating concise summaries for long articles
Rouge1 score 27.2966
Content Extraction
Extracting key information from large volumes of text
Average generation length of 18.93 tokens
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