update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5992779783393501
+      value: 0.628158844765343
 ---
 
 <!-- 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: 0.8550
-- Accuracy: 0.5993
+- Loss: 0.8224
+- Accuracy: 0.6282
 
 ## 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  | 0.6961          | 0.5018   |
-| No log        | 2.0   | 312  | 0.6738          | 0.5596   |
-| No log        | 3.0   | 468  | 0.7531          | 0.5812   |
-| 0.6019        | 4.0   | 624  | 0.7971          | 0.5921   |
-| 0.6019        | 5.0   | 780  | 0.8550          | 0.5993   |
+| No log        | 1.0   | 156  | 0.6949          | 0.4946   |
+| No log        | 2.0   | 312  | 0.6853          | 0.5884   |
+| No log        | 3.0   | 468  | 0.7092          | 0.5957   |
+| 0.6095        | 4.0   | 624  | 0.7930          | 0.6101   |
+| 0.6095        | 5.0   | 780  | 0.8224          | 0.6282   |
 
 
 ### Framework versions