update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8333333333333334
+      value: 0.8504901960784313
     - name: F1
       type: f1
-      value: 0.8736059479553903
+      value: 0.891651865008881
 ---
 
 <!-- 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: 0.5090
-- Accuracy: 0.8333
-- F1: 0.8736
+- Loss: 0.5630
+- Accuracy: 0.8505
+- F1: 0.8917
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5502        | 1.09  | 500  | 0.5165          | 0.8235   | 0.8696 |
-| 0.3797        | 2.18  | 1000 | 0.5090          | 0.8333   | 0.8736 |
+| 0.5266        | 1.09  | 500  | 0.5928          | 0.8235   | 0.8741 |
+| 0.3654        | 2.18  | 1000 | 0.5630          | 0.8505   | 0.8917 |
 
 
 ### Framework versions