FinBERT_market_based

Model Card for Finetuned FinBERT on Market-Based Facts

<font color="orange">This LLM is fine-tuned on market reactions to events. By utilizing market-based data, it avoids human biases present in traditional annotation methods.</font>

Our FinBERT model, finetuned on impactful news headlines about global equity markets, has shown significant performance improvements over standard models. Its training on real-world market impact rather than subjective financial expert opinions sets a new standard for unbiased financial sentiment analysis. 📈 The dataset is uploaded on HuggingFace here.

Outperforms FinBERT

• 🎯 +25% precision
• 🚀 +18% recall

Outperforms DistilRoBERTa finetuned for finance

• 🎯 +22% precision
• 🚀 +15% recall

Outperforms GPT-4 zero-shot learning

• 🎯 +15% precision
• 🚀 +8.2% recall

Validation Metrics

This model has been developed after publishing in the Risk Forum 2024 conference a paper that can be found here (https://arxiv.org/abs/2401.05447). The FinMarBa dataset can be found here (https://arxiv.org/abs/2507.22932).