update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8666666666666667
+      value: 0.8633333333333333
     - name: F1
       type: f1
-      value: 0.8692810457516339
+      value: 0.8655737704918034
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ 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: 0.3507
-- Accuracy: 0.8667
-- F1: 0.8693
+- Loss: 0.3298
+- Accuracy: 0.8633
+- F1: 0.8656
 
 ## Model description
 
@@ -69,6 +69,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.18.0
-- Pytorch 1.11.0+cpu
+- Pytorch 1.11.0+cu113
 - Datasets 2.1.0
 - Tokenizers 0.12.1