Add evaluation results on fashion_mnist dataset

README.md

@@ -17,6 +17,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9473
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: fashion_mnist
+      type: fashion_mnist
+      config: fashion_mnist
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9431
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9435374485262068
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9431
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9435374485262069
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9430999999999999
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9431
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9431
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9431357840300738
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9431
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9431357840300738
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.17352284491062164
+      verified: true
 ---
 
 # Model Trained Using AutoTrain