End of training

README.md

@@ -3,9 +3,26 @@ license: apache-2.0
 base_model: facebook/deit-base-distilled-patch16-224
 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: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9939271255060729
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +30,10 @@ 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: 0.0472
+- Accuracy: 0.9939
 
 ## Model description
 
@@ -42,6 +62,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.97  | 12   | 0.5252          | 0.8947   |
+| No log        | 1.94  | 24   | 0.1506          | 0.9636   |
+| No log        | 2.98  | 37   | 0.0787          | 0.9858   |
+| No log        | 3.95  | 49   | 0.0587          | 0.9919   |
+| No log        | 4.84  | 60   | 0.0472          | 0.9939   |
+
+
 ### Framework versions
 
 - Transformers 4.35.2