update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -22,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8733333333333333
+      value: 0.8666666666666667
     - name: F1
       type: f1
-      value: 0.8733333333333333
+      value: 0.8684210526315789
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +36,9 @@ 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: 0.3243
-- Accuracy: 0.8733
-- F1: 0.8733
+- Loss: 0.3288
+- Accuracy: 0.8667
+- F1: 0.8684
 
 ## Model description
 
@@ -70,7 +71,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3