update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.92976
+      value: 0.92956
 ---
 
 <!-- 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2364
-- Accuracy: 0.9298
+- Loss: 0.2391
+- Accuracy: 0.9296
 
 ## Model description
 
@@ -63,13 +63,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2346        | 1.0   | 1563 | 0.1908          | 0.928    |
-| 0.152         | 2.0   | 3126 | 0.2364          | 0.9298   |
+| 0.2295        | 1.0   | 1563 | 0.1860          | 0.9290   |
+| 0.1506        | 2.0   | 3126 | 0.2391          | 0.9296   |
 
 
 ### Framework versions
 
-- Transformers 4.29.1
+- Transformers 4.29.2
 - Pytorch 1.12.1
 - Datasets 2.11.0
 - Tokenizers 0.11.0