Update Readme.md

README.md

@@ -1,4 +1,8 @@
-## Classifier-Bias-SG Model Card
+---
+license: openrail
+---
+
+# Classifier-Bias-SG Model Card
 
 ## Model Details
 Classifier-Bias-SG is a proof of concept model designed to classify texts based on their bias levels. The model categorizes texts into 2 classes: "Biased", and "Non-Biased".
@@ -8,8 +12,8 @@ The model is built upon the distilbert-base-uncased architecture and has been fi
 
 ## Dataset
 The model was trained on a BABE dataset containing news articles from various sources, annotated with one of the 2 bias levels. The dataset contains:
-Biased: 1810 articles
-Non-Biased: 1810 articles
+- **Biased**: 1810 articles
+- **Non-Biased**: 1810 articles
 
 ## Training Procedure
 The model was trained using the Adam optimizer for 15 epochs.
@@ -17,9 +21,9 @@ The model was trained using the Adam optimizer for 15 epochs.
 ## Performance
 On our validation set, the model achieved:
 
-Accuracy: 78%
-F1 Score (Biased): 79%
-F1 Score (Non-Biased): 77%
+- **Accuracy**: 78%
+- **F1 Score (Biased)**: 79%
+- **F1 Score (Non-Biased)**: 77%
 
 ## How to Use
 To use this model for text classification, use the following code: