brain_tumor

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -17,7 +18,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: Mahadih534/brain-tumor-dataset
       type: imagefolder
       config: default
       split: train
@@ -42,7 +43,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-oxford-brain-tumor_x-ray
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the Mahadih534/brain-tumor-dataset dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2882
 - Accuracy: 0.9231