update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.541
+      value: 0.539
 ---
 
 <!-- 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: 1.5690
-- Accuracy: 0.541
+- Loss: 2.6184
+- Accuracy: 0.539
 
 ## 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  | 1.2617          | 0.509    |
-| No log        | 2.0   | 250  | 1.4347          | 0.519    |
-| No log        | 3.0   | 375  | 1.5690          | 0.541    |
+| No log        | 1.0   | 125  | 2.0325          | 0.499    |
+| No log        | 2.0   | 250  | 2.3086          | 0.547    |
+| No log        | 3.0   | 375  | 2.6184          | 0.539    |
 
 
 ### Framework versions