update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8382352941176471
+      value: 0.8529411764705882
     - name: F1
       type: f1
-      value: 0.8862068965517241
+      value: 0.8961937716262977
 ---
 
 <!-- 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: 0.8774
-- Accuracy: 0.8382
-- F1: 0.8862
+- Loss: 0.7159
+- Accuracy: 0.8529
+- F1: 0.8962
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5215        | 1.09  | 500  | 0.6494          | 0.8039   | 0.8653 |
-| 0.3845        | 2.18  | 1000 | 0.6406          | 0.8211   | 0.8689 |
-| 0.1963        | 3.27  | 1500 | 0.8774          | 0.8382   | 0.8862 |
+| 0.5317        | 1.09  | 500  | 0.5314          | 0.8260   | 0.8752 |
+| 0.3602        | 2.18  | 1000 | 0.6965          | 0.8358   | 0.8855 |
+| 0.2204        | 3.27  | 1500 | 0.7159          | 0.8529   | 0.8962 |
 
 
 ### Framework versions