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T5 Finetuned Test

Developed by osanseviero
Text summarization model based on T5-small architecture trained on WikiHow dataset
Downloads 24
Release Time : 3/2/2022

Model Overview

This model is specifically designed for generating summaries of WikiHow-style articles, using a sequence-to-sequence architecture suitable for automated summarization tasks in English.

Model Features

Efficient Summarization
Optimized summarization capability for WikiHow-style content
Lightweight Architecture
Uses T5-small architecture to reduce computational requirements while maintaining performance
Domain-Specific Adaptation
Fine-tuned specifically on WikiHow dataset, ideal for procedural texts

Model Capabilities

Text Summarization Generation
English Text Processing
Sequence-to-Sequence Transformation

Use Cases

Content Summarization
WikiHow Article Summarization
Automatically generate concise summaries of WikiHow articles
Rouge1 score 31.2, RougeL score 24.5
Content Simplification
Procedure Simplification
Condense complex instructions into key points
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