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README.md

@@ -1,21 +1,21 @@
 ---
-license: other
 base_model: apple/mobilevitv2-1.0-imagenet1k-256
-tags:
-- generated_from_trainer
 datasets:
 - webdataset
+license: other
 metrics:
 - accuracy
 - f1
 - precision
 - recall
+tags:
+- generated_from_trainer
 model-index:
 - name: mobilevitv2-1.0-imagenet1k-256-finetuned_v2024-7-25-frost
   results:
   - task:
-      name: Image Classification
       type: image-classification
+      name: Image Classification
     dataset:
       name: webdataset
       type: webdataset
@@ -23,18 +23,18 @@ model-index:
       split: train
       args: default
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9309734513274336
-    - name: F1
-      type: f1
+      name: Accuracy
+    - type: f1
       value: 0.8227272727272726
-    - name: Precision
-      type: precision
+      name: F1
+    - type: precision
       value: 0.8457943925233645
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.8008849557522124
+      name: Recall
 ---
 
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