update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.553
+      value: 0.562
 ---
 
 <!-- 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: 1.0731
-- Accuracy: 0.553
+- Loss: 1.0594
+- Accuracy: 0.562
 
 ## 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  | 1.1979          | 0.479    |
-| No log        | 2.0   | 250  | 1.0730          | 0.552    |
-| No log        | 3.0   | 375  | 1.0731          | 0.553    |
+| No log        | 1.0   | 125  | 1.2177          | 0.467    |
+| No log        | 2.0   | 250  | 1.0214          | 0.569    |
+| No log        | 3.0   | 375  | 1.0594          | 0.562    |
 
 
 ### Framework versions