Add evaluation results on food101 dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +53 -0
README.md CHANGED
@@ -20,6 +20,59 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9210297029702971
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.9210297029702971
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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: food101
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+ type: food101
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+ config: default
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+ split: validation
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9135841584158416
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9151645786633058
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9135841584158416
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.915164578663306
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9135841584158414
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9135841584158416
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9135841584158416
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9138785016966742
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9135841584158415
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9138785016966743
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.30761435627937317
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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