update model card README.md

README.md

@@ -17,15 +17,15 @@ model-index:
       name: imdb
       type: imdb
       config: plain_text
-      split: train
+      split: test
       args: plain_text
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.89
+      value: 0.8766666666666667
     - name: F1
       type: f1
-      value: 0.8932038834951457
+      value: 0.877887788778878
 ---
 
 <!-- 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: 0.3003
-- Accuracy: 0.89
-- F1: 0.8932
+- Loss: 0.3080
+- Accuracy: 0.8767
+- F1: 0.8779
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.22.2
-- Pytorch 1.12.1+cu113
-- Datasets 2.5.1
-- Tokenizers 0.12.1
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3