update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9314
+      value: 0.93096
 ---
 
 <!-- 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2291
-- Accuracy: 0.9314
+- Loss: 0.2328
+- Accuracy: 0.9310
 
 ## Model description
 
@@ -63,8 +63,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2321        | 1.0   | 1563 | 0.1843          | 0.9297   |
-| 0.1501        | 2.0   | 3126 | 0.2291          | 0.9314   |
+| 0.2323        | 1.0   | 1563 | 0.1885          | 0.9278   |
+| 0.1523        | 2.0   | 3126 | 0.2328          | 0.9310   |
 
 
 ### Framework versions