update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8308823529411765
+      value: 0.8529411764705882
     - name: F1
       type: f1
-      value: 0.8840336134453781
+      value: 0.8986486486486487
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8504
-- Accuracy: 0.8309
-- F1: 0.8840
+- Loss: 0.5972
+- Accuracy: 0.8529
+- F1: 0.8986
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5345        | 1.09  | 500  | 0.5828          | 0.7941   | 0.8542 |
-| 0.3113        | 2.18  | 1000 | 0.6342          | 0.8260   | 0.8752 |
-| 0.1483        | 3.27  | 1500 | 0.8504          | 0.8309   | 0.8840 |
+| 0.5624        | 1.09  | 500  | 0.4727          | 0.7990   | 0.8591 |
+| 0.4063        | 2.18  | 1000 | 0.4414          | 0.8627   | 0.9    |
+| 0.2612        | 3.27  | 1500 | 0.5972          | 0.8529   | 0.8986 |
 
 
 ### Framework versions