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Bert Mini Finetuned Age News Classification
This is a news classification model fine-tuned on the BERT-Mini architecture, achieving 93% test accuracy on the ag_news dataset.
Downloads 63
Release Time : 3/2/2022
Model Overview
This model is specifically designed for news text classification tasks, capable of accurately identifying the category of news articles.
Model Features
High Accuracy
Achieves 93% classification accuracy on the ag_news test set.
Lightweight
Based on the BERT-Mini architecture with fewer parameters, suitable for resource-constrained environments.
News Classification
Specially optimized for news text classification.
Model Capabilities
News Text Classification
Multi-category Text Recognition
Use Cases
News Media
Automatic News Classification
Automatically categorizes news articles into predefined categories.
93% classification accuracy
Content Management
Content Archiving
Helps news platforms automatically archive large volumes of news content.
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