Add evaluation results on fashion_mnist dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +53 -0
README.md CHANGED
@@ -17,6 +17,59 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9473
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Trained Using AutoTrain
 
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  - name: Accuracy
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  type: accuracy
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  value: 0.9473
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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: fashion_mnist
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+ type: fashion_mnist
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+ config: fashion_mnist
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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: 0.9431
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9435374485262068
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9431
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9435374485262069
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9430999999999999
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9431
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9431
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9431357840300738
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9431
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9431357840300738
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.17352284491062164
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+ verified: true
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  ---
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  # Model Trained Using AutoTrain