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Modernbert Base Ft Financial News Sentiment Analysis 2
Financial news sentiment analysis model fine-tuned based on ModernBERT-base, achieving an F1 score of 0.9765 on the evaluation set
Downloads 28
Release Time : 12/27/2024
Model Overview
This model is a sentiment analysis model optimized for the financial news domain, capable of accurately identifying sentiment tendencies in news texts.
Model Features
High-precision sentiment analysis
Fine-tuned on financial news datasets, achieving an F1 score of 0.9765
Optimized based on ModernBERT
Uses ModernBERT-base as the base model, with better text comprehension capabilities
Efficient training
Only requires 10 training epochs to achieve excellent performance
Model Capabilities
Financial text sentiment classification
News sentiment analysis
Text classification
Use Cases
Financial analysis
Market sentiment monitoring
Analyzing market sentiment changes in financial news
97.65% accuracy
Investment decision support
Providing sentiment indicators as references for investment decisions
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