update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - uta_rldd
@@ -13,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: uta_rldd
+      name: chbh7051/driver-drowsiness-detection
       type: uta_rldd
       config: default
       split: train
@@ -21,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9930477264186396
+      value: 0.991131153701616
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-driver-drowsiness-detection
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the uta_rldd dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the chbh7051/driver-drowsiness-detection dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0162
-- Accuracy: 0.9930
+- Loss: 0.0212
+- Accuracy: 0.9911
 
 ## Model description