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Autonlp Indic Glue Multi Class Classification 1e67664 1311135

Developed by albertvillanova
This is an AutoNLP-trained Bengali multi-class classification model that performs excellently on the IndicGLUE dataset.
Downloads 27
Release Time : 3/2/2022

Model Overview

This model is specifically designed for multi-class classification tasks in Bengali text, achieving high performance through AutoNLP's automated training process.

Model Features

High Accuracy
Achieves 89.79% accuracy on the validation set
Balanced Performance
Macro-average F1 score reaches 0.855, demonstrating balanced performance across different classes
AutoNLP Optimized
Utilizes Hugging Face AutoNLP automated training process to ensure optimal performance

Model Capabilities

Bengali Text Classification
Multi-class Prediction
Natural Language Processing

Use Cases

Text Classification
News Classification
Automatically classify Bengali news articles into different topic categories
Accuracy close to 90%
User Feedback Classification
Automatic classification of Bengali user feedback
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