update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9265160489950139
+      value: 0.9167076740946344
 ---
 
 <!-- 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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1906
-- F1: 0.9265
+- Loss: 0.2182
+- F1: 0.9167
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.224         | 1.0   | 1563 | 0.1913          | 0.9267 |
-| 0.131         | 2.0   | 3126 | 0.1915          | 0.9265 |
-| 0.0399        | 3.0   | 4689 | 0.1906          | 0.9265 |
+| 0.2294        | 1.0   | 1563 | 0.2206          | 0.9148 |
+| 0.1306        | 2.0   | 3126 | 0.2202          | 0.9156 |
+| 0.0256        | 3.0   | 4689 | 0.2182          | 0.9167 |
 
 
 ### Framework versions