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README.md

@@ -1,3 +1,4 @@
+
 ---
 language: en
 license: apache-2.0
@@ -6,18 +7,17 @@ tags:
 - sentiment-analysis
 - modernbert
 - financial-nlp
-- unsloth
 datasets:
 - neoyipeng/financial_reasoning_aggregated
 metrics:
 - accuracy
 widget:
-- text: The company reported strong quarterly earnings with revenue beating expectations.
-  example_title: Positive Example
-- text: Stock prices fell sharply following disappointing guidance from management.
-  example_title: Negative Example
-- text: The merger is expected to close in Q3 pending regulatory approval.
-  example_title: Neutral Example
+- text: "The company reported strong quarterly earnings with revenue beating expectations."
+  example_title: "Positive Example"
+- text: "Stock prices fell sharply following disappointing guidance from management."
+  example_title: "Negative Example"
+- text: "The merger is expected to close in Q3 pending regulatory approval."
+  example_title: "Neutral Example"
 ---
 
 # ModernFinBERT: Financial Sentiment Analysis
@@ -28,12 +28,13 @@ ModernFinBERT is a financial sentiment analysis model based on the ModernBERT ar
 
 - **Base Model**: answerdotai/ModernBERT-base
 - **Task**: 3-class sentiment classification (Negative, Neutral, Positive)
-- **Training Data**: Financial text from multiple sources (excluding FinancialPhraseBank for evaluation)
+- **Training Data**: Financial text from multiple sources (excluding FinancialPhraseBank)
+- **Test Data**: FinancialPhraseBank
 - **Parameters**: 149,607,171
 
 ## Performance
 
-- **FinancialPhraseBank Accuracy**: 73.07%
+- **FinancialPhraseBank Accuracy**: 73.24%
 
 ## Usage
 
@@ -58,7 +59,7 @@ print(f"Sentiment: {predicted_class} ({confidence:.2f})")
 
 ## Training Details
 
-- **Epochs**: 10
+- **Epochs**: 5
 - **Batch Size**: 32
 - **Learning Rate**: 5e-5
 - **Optimizer**: AdamW