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README.md

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 For fine-tuning, the model leverages the **[Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts)** by Malo et al. (2014), a widely recognized benchmark dataset for financial sentiment analysis.  
 
-To explore the research behind this model, refer to:  
-📄 **Paper:** [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063)  
-📝 **Blog Post:** [FinBERT: Financial Sentiment Analysis with BERT](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101)  
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 ### Sentiment Labels  
 The model generates a **softmax probability distribution** across three sentiment categories: