Add evaluation results on cifar10 dataset

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Your model has been evaluated on the [cifar10](https://huggingface.co./datasets/cifar10) dataset by

@davidberg

, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-staging-eval-project-00ac2adb-9115200).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=cifar10).\
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README.md

@@ -22,6 +22,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.991421568627451
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: cifar10
+      type: cifar10
+      config: plain_text
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9674
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9679512973887299
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9674
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9679512973887299
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9673999999999999
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9674
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9674
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9674620969256708
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9674000000000001
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.967462096925671
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.1527363657951355
+      verified: true
 ---
 
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