Update README.md

README.md

@@ -26,7 +26,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9830056647784072
+      value: 0.9416861046317894
 ---
 
 ## Text classification model for coherence evaluation in German scientific texts
@@ -43,7 +43,7 @@ It was trained using a custom annotated dataset of around 12,000 training and 3,
 
 Training was conducted using a standard Text classification objective. The model achieves an accuracy of approximately 98% on the evaluation set.
 
-Here are the overall final metrics on the test dataset after 4 epochs of training:
-  - **Accuracy**: 0.9830056647784072
-  - **Loss**: 0.1149643063545227
+Here are the overall final metrics on the test dataset after 3 epochs of training:
+  - **Accuracy**: 0.9416861046317894
+  - **Loss**: 0.2770719528198242