update model card README.md

README.md

@@ -2,9 +2,26 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
 model-index:
 - name: alzheimer_model_aug_deit5
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9996875
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # alzheimer_model_aug_deit5
 
-This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on an unknown dataset.
+This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0012
+- Accuracy: 0.9997
 
 ## Model description
 
@@ -41,6 +61,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5045        | 1.0   | 212  | 0.1414          | 0.9522   |
+| 0.0779        | 2.0   | 424  | 0.0222          | 0.9961   |
+| 0.0156        | 3.0   | 637  | 0.0164          | 0.9941   |
+| 0.0032        | 4.0   | 849  | 0.0044          | 0.9983   |
+| 0.0004        | 4.99  | 1060 | 0.0012          | 0.9997   |
+
+
 ### Framework versions
 
 - Transformers 4.30.2