update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -13,13 +14,13 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: mriDataSet
       type: imagefolder
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.987944228954817
+      value: 0.9827025893699549
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-mri
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the mriDataSet dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0690
-- Accuracy: 0.9879
+- Loss: 0.0453
+- Accuracy: 0.9827
 
 ## Model description