update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8461538461538461
+      value: 0.8405253283302064
 ---
 
 <!-- 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 rotten_tomatoes dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9761
-- Accuracy: 0.8462
+- Loss: 0.9770
+- Accuracy: 0.8405
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4293        | 1.0   | 534  | 0.4071          | 0.8349   |
-| 0.2313        | 2.0   | 1068 | 0.4994          | 0.8246   |
-| 0.1162        | 3.0   | 1602 | 0.7041          | 0.8358   |
-| 0.0483        | 4.0   | 2136 | 0.9108          | 0.8462   |
-| 0.0187        | 5.0   | 2670 | 0.9761          | 0.8462   |
+| 0.4274        | 1.0   | 534  | 0.3831          | 0.8452   |
+| 0.2256        | 2.0   | 1068 | 0.5080          | 0.8405   |
+| 0.1048        | 3.0   | 1602 | 0.7442          | 0.8368   |
+| 0.0503        | 4.0   | 2136 | 0.8985          | 0.8443   |
+| 0.0187        | 5.0   | 2670 | 0.9770          | 0.8405   |
 
 
 ### Framework versions