update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8480392156862745
+      value: 0.8431372549019608
     - name: F1
       type: f1
-      value: 0.89198606271777
+      value: 0.8873239436619718
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7657
-- Accuracy: 0.8480
-- F1: 0.8920
+- Loss: 0.7128
+- Accuracy: 0.8431
+- F1: 0.8873
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5118        | 1.09  | 500  | 0.6185          | 0.8260   | 0.8765 |
-| 0.3537        | 2.18  | 1000 | 0.7521          | 0.8162   | 0.8593 |
-| 0.1839        | 3.27  | 1500 | 0.7657          | 0.8480   | 0.8920 |
+| 0.5216        | 1.09  | 500  | 0.6111          | 0.8284   | 0.8826 |
+| 0.3635        | 2.18  | 1000 | 0.7137          | 0.8456   | 0.8881 |
+| 0.209         | 3.27  | 1500 | 0.7128          | 0.8431   | 0.8873 |
 
 
 ### Framework versions