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Minilm Finetuned Emotion
This model is a text classification model fine-tuned on the emotion classification dataset based on the Microsoft MiniLM architecture, achieving an F1 score of 0.9118 on the evaluation set.
Downloads 19
Release Time : 3/2/2022
Model Overview
A lightweight model specifically designed for emotional text classification, capable of identifying emotional categories in text.
Model Features
Efficient and Lightweight
Based on the MiniLM architecture, it maintains high performance while having a small model size.
High Accuracy
Achieves an F1 score of 0.9118 on emotion classification tasks.
Fast Inference
Lightweight architecture suitable for deployment in production environments.
Model Capabilities
Text Classification
Sentiment Analysis
English Text Processing
Use Cases
Sentiment Analysis
Social Media Sentiment Monitoring
Analyze user sentiment tendencies in social media posts.
Accuracy 91.18%
Product Review Analysis
Automatically classify the sentiment of product reviews on e-commerce platforms.
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