update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-binary-isic-patch-32
 
-This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the None dataset.
+This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the ahishamm/isic_binary_augmented dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5004
-- Accuracy: 0.8998
-- Recall: 0.8998
-- F1: 0.8998
-- Precision: 0.8998
+- Loss: 0.2618
+- Accuracy: 0.8897
+- Recall: 0.8897
+- F1: 0.8897
+- Precision: 0.8897
 
 ## Model description