update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.849906191369606
+      value: 0.8442776735459663
 ---
 
 <!-- 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 rotten_tomatoes dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6639
-- Accuracy: 0.8499
+- Loss: 0.9971
+- Accuracy: 0.8443
 
 ## Model description
 
@@ -63,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.417         | 1.0   | 1067 | 0.4210          | 0.8349   |
-| 0.2965        | 2.0   | 2134 | 0.4945          | 0.8471   |
-| 0.1447        | 3.0   | 3201 | 0.6639          | 0.8499   |
+| 0.1626        | 1.0   | 1067 | 0.8012          | 0.8340   |
+| 0.1048        | 2.0   | 2134 | 0.9137          | 0.8405   |
+| 0.0472        | 3.0   | 3201 | 0.9971          | 0.8443   |
 
 
 ### Framework versions
 
-- Transformers 4.27.1
+- Transformers 4.27.2
 - Pytorch 1.13.1+cu116
 - Datasets 2.10.1
 - Tokenizers 0.13.2