update model card README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- ag_news
+- imdb
 metrics:
 - accuracy
 model-index:
@@ -13,13 +13,13 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: ag_news
-      type: ag_news
-      args: default
+      name: imdb
+      type: imdb
+      args: plain_text
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9473684210526315
+      value: 0.93948
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sentiment-model-sample
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ag_news dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4887
-- Accuracy: 0.9474
+- Loss: 0.5280
+- Accuracy: 0.9395
 
 ## Model description
 
@@ -63,7 +63,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.16.2
+- Transformers 4.17.0
 - Pytorch 1.10.0+cu111
 - Datasets 1.18.3
 - Tokenizers 0.11.6