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Add evaluation results on lewtun/dog_food dataset (#1)

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- Add evaluation results on lewtun/dog_food dataset (0e5e2c3ea7cfa731d7ce222c447a4c0a4d400633)


Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>

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  1. README.md +57 -0
README.md CHANGED
@@ -21,6 +21,63 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.988
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.988
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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: lewtun/dog_food
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+ type: lewtun/dog_food
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+ config: lewtun--dog_food
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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: 0.9826666666666667
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9820904286553143
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9826666666666667
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9828416519866903
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9828453314981092
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9826666666666667
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9826666666666667
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9824101123169301
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9826666666666667
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9826983433609648
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.2326570302248001
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+ verified: true
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+ - name: matthews_correlation
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+ type: matthews_correlation
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+ value: 0.974016655798285
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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