Update README.md

README.md

@@ -7,7 +7,22 @@ metrics:
 - f1
 model-index:
 - name: alz-mri-vit
-  results: []
+  results:
+  - task:
+      name: image-classification
+      type: image-classification
+    dataset:
+      name: Falah/Alzheimer_MRI
+      type: Falah/Alzheimer_MRI
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: f1
+      type: f1
+      value: 0.930865
+datasets:
+- Falah/Alzheimer_MRI
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # alz-mri-vit
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown 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 Falah/Alzheimer_MRI dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1875
 - F1: 0.9309
@@ -90,4 +105,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0