update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.911697247706422
+      value: 0.9128440366972477
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.3574
-- Accuracy: 0.9117
+- Loss: 0.3177
+- Accuracy: 0.9128
 
 ## Model description
 
@@ -63,16 +63,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.1867        | 1.0   | 4210  | 0.3226          | 0.9071   |
-| 0.1277        | 2.0   | 8420  | 0.3630          | 0.9037   |
-| 0.1027        | 3.0   | 12630 | 0.3574          | 0.9117   |
-| 0.0659        | 4.0   | 16840 | 0.4427          | 0.9048   |
-| 0.0334        | 5.0   | 21050 | 0.4979          | 0.9083   |
+| 0.1848        | 1.0   | 4210  | 0.2955          | 0.9083   |
+| 0.1271        | 2.0   | 8420  | 0.3177          | 0.9128   |
+| 0.0958        | 3.0   | 12630 | 0.3847          | 0.9014   |
+| 0.0582        | 4.0   | 16840 | 0.4434          | 0.9106   |
+| 0.038         | 5.0   | 21050 | 0.5351          | 0.9002   |
 
 
 ### Framework versions
 
-- Transformers 4.27.1
+- Transformers 4.27.3
 - Pytorch 2.0.0+cu117
 - Datasets 2.10.1
 - Tokenizers 0.13.2