update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6462093862815884
+      value: 0.6642599277978339
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7221
-- Accuracy: 0.6462
+- Loss: 0.8075
+- Accuracy: 0.6643
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 63   | 0.6691          | 0.5812   |
-| No log        | 2.0   | 126  | 0.6484          | 0.6318   |
-| No log        | 3.0   | 189  | 0.7221          | 0.6462   |
-| No log        | 4.0   | 252  | 0.8555          | 0.6318   |
-| No log        | 5.0   | 315  | 0.9051          | 0.6390   |
+| No log        | 1.0   | 63   | 0.6777          | 0.5668   |
+| No log        | 2.0   | 126  | 0.6723          | 0.6282   |
+| No log        | 3.0   | 189  | 0.7238          | 0.6318   |
+| No log        | 4.0   | 252  | 0.7993          | 0.6354   |
+| No log        | 5.0   | 315  | 0.8075          | 0.6643   |
 
 
 ### Framework versions