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Distilbertnewssentiments

Developed by maheshshastrakar
This is a DistilBERT model fine-tuned on the SST-2 English dataset using AutoTrain for text classification tasks.
Downloads 28
Release Time : 10/12/2024

Model Overview

This model is based on the DistilBERT architecture, specifically optimized for text classification tasks such as sentiment analysis, capable of efficiently determining the emotional tendency of English text.

Model Features

Efficient and Lightweight
Based on the DistilBERT architecture, significantly reducing model size while maintaining high performance
Sentiment Analysis
Specifically optimized for sentiment classification tasks, accurately determining text emotional tendency
AutoTrain Optimization
Fine-tuned using the AutoTrain automated training process to ensure optimal performance

Model Capabilities

English Text Classification
Sentiment Tendency Analysis
Short Text Processing

Use Cases

Sentiment Analysis
Product Review Analysis
Analyze the emotional tendency of user reviews on products
Accuracy 89.29%
Social Media Monitoring
Monitor public sentiment changes on social media
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