update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8406862745098039
+      value: 0.8480392156862745
     - name: F1
       type: f1
-      value: 0.8820326678765881
+      value: 0.8888888888888888
 ---
 
 <!-- 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: 0.5864
-- Accuracy: 0.8407
-- F1: 0.8820
+- Loss: 0.5060
+- Accuracy: 0.8480
+- F1: 0.8889
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.513         | 1.09  | 500  | 0.6398          | 0.8064   | 0.8571 |
-| 0.3412        | 2.18  | 1000 | 0.5864          | 0.8407   | 0.8820 |
+| 0.5475        | 1.09  | 500  | 0.6785          | 0.7598   | 0.8281 |
+| 0.3811        | 2.18  | 1000 | 0.5060          | 0.8480   | 0.8889 |
 
 
 ### Framework versions