metadata

tags:
  - finance
  - finbert
  - market
  - financial
  - generated_from_trainer
  - financial
  - stocks
  - sentiment
  - text-classification
widget:
  - text: Asian Stocks Set to Decline Amidst Growth Worries
    output:
      - label: POSITIVE
        score: 0.14
      - label: INDECISIVE
        score: 0.25
      - label: NEGATIVE
        score: 0.61
  - text: >-
      High inflation expectations becoming part of the American consumers
      behavioral norm
    output:
      - label: POSITIVE
        score: 0.49
      - label: INDECISIVE
        score: 0.3
      - label: NEGATIVE
        score: 0.21
datasets:
  - FinBERT_market_based/autotrain-data

Model Card for Finetuned FinBERT on Market-Based Facts

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. 📈

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

Metric	Value
loss	0.9176467061042786
f1_macro	0.49749240436690023
f1_micro	0.5627105467737756
f1_weighted	0.5279720746084178
precision_macro	0.5386355574899088
precision_micro	0.5627105467737756
precision_weighted	0.5462149036191247
recall_macro	0.517542664344306
recall_micro	0.5627105467737756
recall_weighted	0.5627105467737756
accuracy	0.5627105467737756

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).