Autonlp-bp-29016523 Open-source Text Classification Model - Free for Multiclass Classification of English Texts

Autonlp Bp 29016523

Developed by JushBJJ

This is a multi-class classification model trained using Hugging Face AutoNLP, suitable for English text classification tasks.

Text Classification

Transformers

English#Multi-class text classification #High accuracy (83%)#AutoNLP trained

Downloads 15

Release Time : 3/2/2022

Model Overview

This model was trained using the AutoNLP framework and is primarily designed for multi-class classification tasks in English text. The model demonstrates strong performance on the validation set, achieving an accuracy of 83.3%.

Model Features

Efficient Training

Simplifies the model development process through AutoNLP's automated training pipeline

Strong Performance

Achieves 83.3% accuracy and a macro F1 score of 0.794 on the validation set

Environmental Consideration

The training process produces only 3.27 grams of CO2 emissions

Model Capabilities

English text classification

Multi-class prediction

Use Cases

Text Analysis

Sentiment Analysis

Can be used to analyze sentiment tendencies in English text

Content Classification

Can be used to classify English text content

Property	Details
Problem Type	Multi - class Classification
Model ID	29016523
CO2 Emissions (in grams)	3.273303707756322

Metric	Value
Loss	0.6093757748603821
Accuracy	0.8333333333333334
Macro F1	0.7937936978656889
Micro F1	0.8333333333333334
Weighted F1	0.8239843785760546
Macro Precision	0.8988882462566673
Micro Precision	0.8333333333333334
Weighted Precision	0.8404982541824647
Macro Recall	0.7805142534864643
Micro Recall	0.8333333333333334
Weighted Recall	0.8333333333333334

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Autonlp Bp 29016523

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoNLP

🚀 Quick Start

Model Information

Validation Metrics

💻 Usage Examples

Basic Usage

Advanced Usage