update model card README.md

README.md

@@ -1,12 +1,29 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
+- vision
 - generated_from_trainer
 datasets:
 - mnist
+metrics:
+- accuracy
 model-index:
 - name: mnist-digit-classification-2022-09-04
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: mnist
+      type: mnist
+      config: mnist
+      split: train
+      args: mnist
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9923333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 # mnist-digit-classification-2022-09-04
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the mnist dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0319
+- Accuracy: 0.9923
 
 ## Model description