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Distilbert Base Uncased Sst2 Train 16 3
This model is a fine-tuned version of distilbert-base-uncased on the SST-2 dataset, primarily used for text sentiment analysis tasks.
Downloads 34
Release Time : 3/2/2022
Model Overview
This is a fine-tuned DistilBERT model suitable for text sentiment analysis tasks, capable of classifying text into positive or negative sentiments.
Model Features
Lightweight Model
Based on the DistilBERT architecture, it is smaller and faster than the standard BERT model while maintaining good performance.
Sentiment Analysis
Fine-tuned specifically for sentiment analysis tasks, effectively identifying sentiment tendencies in text.
Model Capabilities
Text Classification
Sentiment Analysis
Use Cases
Social Media Analysis
Comment Sentiment Analysis
Analyze sentiment tendencies in social media comments
Accuracy 64.58%
Customer Feedback Analysis
Customer Review Classification
Automatically classify customer reviews as positive or negative
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