Add evaluation results on food101 dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +56 -3
README.md CHANGED
@@ -19,9 +19,62 @@ model-index:
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  type: food101
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  args: default
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  metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.8912871287128713
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  type: food101
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  args: default
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  metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8912871287128713
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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: 0.7872475247524753
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.8037731109218832
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.7872475247524753
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.8037731109218832
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.7872475247524753
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.7872475247524753
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.7872475247524753
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.7898702754048251
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.7872475247524753
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.789870275404825
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.8927117586135864
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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