update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.583
+      value: 0.581
 ---
 
 <!-- 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-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9942
-- Accuracy: 0.583
+- Loss: 1.0911
+- Accuracy: 0.581
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 1.2668          | 0.421    |
-| No log        | 2.0   | 250  | 1.0525          | 0.558    |
-| No log        | 3.0   | 375  | 0.9942          | 0.583    |
+| No log        | 1.0   | 125  | 1.1026          | 0.51     |
+| No log        | 2.0   | 250  | 1.0457          | 0.584    |
+| No log        | 3.0   | 375  | 1.0911          | 0.581    |
 
 
 ### Framework versions