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README.md
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- sentiment-analysis
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- modernbert
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- financial-nlp
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- unsloth
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datasets:
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- neoyipeng/financial_reasoning_aggregated
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metrics:
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- accuracy
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widget:
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- text: The company reported strong quarterly earnings with revenue beating expectations.
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example_title: Positive Example
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- text: Stock prices fell sharply following disappointing guidance from management.
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example_title: Negative Example
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- text: The merger is expected to close in Q3 pending regulatory approval.
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example_title: Neutral Example
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---
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# ModernFinBERT: Financial Sentiment Analysis
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| Model | Accuracy | Architecture | Parameters |
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|-------|----------|--------------|------------|
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| **ModernFinBERT** (ours) | **
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| FinBERT-tone | 79.18% | BERT-base | 109M |
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ModernFinBERT achieves state-of-the-art performance on financial sentiment analysis, outperforming the widely-used FinBERT-tone model.
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- sentiment-analysis
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- modernbert
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- financial-nlp
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datasets:
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- neoyipeng/financial_reasoning_aggregated
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metrics:
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- accuracy
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widget:
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- text: "The company reported strong quarterly earnings with revenue beating expectations."
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example_title: "Positive Example"
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- text: "Stock prices fell sharply following disappointing guidance from management."
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example_title: "Negative Example"
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- text: "The merger is expected to close in Q3 pending regulatory approval."
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example_title: "Neutral Example"
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---
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# ModernFinBERT: Financial Sentiment Analysis
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| Model | Accuracy | Architecture | Parameters |
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|-------|----------|--------------|------------|
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| **ModernFinBERT** (ours) | **82.32%** | ModernBERT-base | 149M |
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| FinBERT-tone | 79.18% | BERT-base | 109M |
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ModernFinBERT achieves state-of-the-art performance on financial sentiment analysis, outperforming the widely-used FinBERT-tone model.
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