update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8666666666666667
+      value: 0.8566666666666667
     - name: F1
       type: f1
-      value: 0.8684210526315789
+      value: 0.8599348534201954
 ---
 
 <!-- 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: 0.3333
-- Accuracy: 0.8667
-- F1: 0.8684
+- Loss: 0.3292
+- Accuracy: 0.8567
+- F1: 0.8599
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.19.4
+- Transformers 4.18.0
 - Pytorch 1.11.0+cpu
-- Datasets 2.2.2
+- Datasets 2.1.0
 - Tokenizers 0.12.1