Autonlp-imdb-demo-hf-16622775 Open-source Sentiment Analysis Model - Free Assistance for Sentiment Binary Classification Tasks

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Autonlp Imdb Demo Hf 16622775

Developed by juliensimon

This is a binary classification model trained using AutoNLP, primarily used for sentiment analysis tasks.

Text Classification

Transformers

English#Sentiment Analysis #High Accuracy #Movie Review Classification

Downloads 25

Release Time : 3/2/2022

Model Overview

This model is trained on the AutoNLP platform, focusing on text classification tasks, especially suitable for sentiment analysis scenarios.

Model Features

High Performance Classification

Excellent performance on the IMDB dataset with an accuracy of 94.08%

AutoNLP Training

Automatically trained using Hugging Face's AutoNLP platform, simplifying the model development process

Comprehensive Evaluation Metrics

Provides multiple evaluation metrics including accuracy, precision, recall, AUC, and F1 score

Model Capabilities

Text Classification

Sentiment Analysis

Binary Classification

Use Cases

Sentiment Analysis

Movie Review Sentiment Classification

Analyze the sentiment tendency (positive/negative) of IMDB movie reviews

Achieved 94.08% accuracy on the test set

Product Review Analysis

Perform sentiment classification on product reviews

Property	Details
Loss	0.18653589487075806
Accuracy	0.9408
Precision	0.9537643207855974
Recall	0.9272076372315036
AUC	0.985847396174344
F1	0.9402985074626865

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Autonlp Imdb Demo Hf 16622775

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Model Trained Using AutoNLP

🚀 Quick Start

✨ Features

📦 Installation

💻 Usage Examples

Basic Usage

Advanced Usage

📚 Documentation

Validation Metrics

🔧 Technical Details

📄 License