Distilbertnewssentiments
This is a DistilBERT model fine-tuned on the SST-2 English dataset using AutoTrain for text classification tasks.
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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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