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Add evaluation results on cifar10 dataset

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
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).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=cifar10).

Files changed (1) hide show
  1. README.md +53 -0
README.md CHANGED
@@ -22,6 +22,59 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.991421568627451
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.991421568627451
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: cifar10
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+ type: cifar10
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+ config: plain_text
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+ split: test
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9674
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9679512973887299
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9674
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9679512973887299
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9673999999999999
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9674
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9674
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9674620969256708
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9674000000000001
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.967462096925671
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.1527363657951355
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+ verified: true
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You