Open-source Sentiment Analysis Model: Finetuning-sentiment-model-3000-samples

Finetuning Sentiment Model 3000 Samples

Developed by mayank15122000

A sentiment analysis model fine-tuned based on distilbert-base-uncased, achieving 87.67% accuracy on the evaluation set

Downloads 111

Release Time : 4/6/2025

Model Overview

This model is a fine-tuned DistilBERT variant for sentiment analysis tasks, suitable for text sentiment classification

Efficient and Lightweight

Based on DistilBERT architecture, reducing model size while maintaining performance

High Accuracy

Achieves 87.67% accuracy and 88.03% F1 score on the evaluation set

Fast Training

Only requires 2 training epochs to achieve good performance

Text sentiment classification

English text analysis

Social Media Analysis

Comment Sentiment Analysis

Analyze the sentiment tendency of user comments

87.67% accuracy

Customer Feedback Analysis

Customer Satisfaction Evaluation

Automatically classify the sentiment tendency of customer feedback

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base