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:
@@ -17,15 +18,15 @@ model-index:
       name: imdb
       type: imdb
       config: plain_text
-      split: train
+      split: test
       args: plain_text
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.8666666666666667
     - name: F1
       type: f1
-      value: 0.8599999999999999
+      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: 0.2954
-- Accuracy: 0.86
-- F1: 0.8600
+- Loss: 0.3193
+- Accuracy: 0.8667
+- F1: 0.8684
 
 ## Model description
 
@@ -70,7 +71,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.22.1
-- Pytorch 1.12.1+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3