Update README.md

README.md

@@ -10,18 +10,6 @@ model-index:
 - name: outputs
   results: []
 ---
----
-license: mit
-library_name: peft
-tags:
-- trl
-- sft
-- generated_from_trainer
-base_model: microsoft/Phi-3-mini-4k-instruct
-model-index:
-- name: outputs
-  results: []
----
 
 ## Merged Model Performance
 
@@ -34,12 +22,12 @@ Our merged model achieves the following performance on a binary classification t
 ```
               precision    recall  f1-score   support
 
-           0       0.90      0.98      0.94       100
-           1       0.98      0.89      0.93       100
+           0       0.85      0.71      0.77       100
+           1       0.75      0.87      0.81       100
 
-    accuracy                           0.94       200
-   macro avg       0.94      0.94      0.93       200
-weighted avg       0.94      0.94      0.93       200
+    accuracy                           0.79       200
+   macro avg       0.80      0.79      0.79       200
+weighted avg       0.80      0.79      0.79       200
 ```
 
 ### Model Usage