update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5956678700361011
+      value: 0.6028880866425993
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7974
-- Accuracy: 0.5957
+- Loss: 0.8547
+- Accuracy: 0.6029
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.6957          | 0.4946   |
-| No log        | 2.0   | 312  | 0.6849          | 0.5740   |
-| No log        | 3.0   | 468  | 0.7207          | 0.5776   |
-| 0.6151        | 4.0   | 624  | 0.7974          | 0.5957   |
-| 0.6151        | 5.0   | 780  | 0.8436          | 0.5776   |
+| No log        | 1.0   | 156  | 0.6892          | 0.5199   |
+| No log        | 2.0   | 312  | 0.6832          | 0.5704   |
+| No log        | 3.0   | 468  | 0.7383          | 0.5776   |
+| 0.6056        | 4.0   | 624  | 0.8051          | 0.5921   |
+| 0.6056        | 5.0   | 780  | 0.8547          | 0.6029   |
 
 
 ### Framework versions