update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.87
+      value: 0.8733333333333333
     - name: F1
       type: f1
-      value: 0.8695652173913044
+      value: 0.8741721854304636
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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: 0.3195
-- Accuracy: 0.87
-- F1: 0.8696
+- Loss: 0.2804
+- Accuracy: 0.8733
+- F1: 0.8742
 
 ## Model description
 
@@ -72,5 +72,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.28.1
 - Pytorch 2.0.0+cu118
-- Datasets 2.11.0
+- Datasets 2.12.0
 - Tokenizers 0.13.3