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Text Summarization

Developed by Falconsai
A text summarization model fine-tuned based on the T5 Small architecture, capable of generating concise and coherent summaries of input texts.
Downloads 61.66k
Release Time : 10/21/2023

Model Overview

This model is specifically designed for text summarization tasks, fine-tuned with diverse documents and their corresponding human-generated summaries, effectively capturing key information and producing meaningful summaries.

Model Features

Efficient Fine-tuning
Optimized with a batch size of 8 and a learning rate of 2e-5 to balance computational efficiency and model performance.
Diverse Training Data
Fine-tuned using a diverse dataset containing various types of documents and their human-generated summaries.
High-quality Summary Generation
Capable of generating summaries that capture key points while maintaining coherence and fluency.

Model Capabilities

Text Summarization
Content Condensation
Key Information Extraction

Use Cases

Document Processing
News Article Summarization
Automatically generate summaries of the core content of news articles.
Produces concise and coherent news summaries.
Long Document Condensation
Condense technical documents or reports.
Extracts key information while preserving the original meaning.
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