Update README.md

README.md

@@ -7,7 +7,7 @@ tags:
 - fine-tuned
 ---
 
-# Model Card for MPNet Cybersecurity Classifier
+# AttackGroup-MPNET - Model Card for MPNet Cybersecurity Classifier
 
 This is a fine-tuned MPNet model specialized for classifying cybersecurity threat groups based on textual descriptions of their tactics and techniques.
 
@@ -186,12 +186,17 @@ To be anounced...
 | Weighted F1 Score      | [More Information Needed] |
 
 
-                                 Embedding Variability  Accuracy
-Original MPNet                                0.092721  0.998611
-MLM Fine-tuned MPNet                          0.034983  0.653611
-Classification Fine-tuned MPNet               0.193065  0.950833
-SecBERT                                       0.591303  0.988611
-ATTACK-BERT                                   0.096108  0.967778
+## Evaluation Results
+
+| Model                                         | Embedding Variability | Accuracy |
+|-----------------------------------------------|-----------------------|----------|
+| Original MPNet                                | 0.085554              | 0.9964   |
+| MLM Fine-tuned MPNet                          | 0.034983              | 0.6536   |
+| ** AttackGroup-MPNET **                       | 0.193065              | 0.9508   |
+| SecBERT                                       | 0.591303              | 0.9886   |
+| ATTACK-BERT                                   | 0.096108              | 0.9678   |
+| SecureBERT                                    | 0.007100              | 0.4931   |
+
 
 ### Single Prediction Example