Add evaluation results on ag_news dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +56 -0
README.md CHANGED
@@ -19,6 +19,62 @@ model_index:
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  name: Accuracy
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  type: accuracy
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  value: 0.9473684210526315
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.9473684210526315
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+ model-index:
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+ - name: andi611/distilbert-base-uncased-ner-agnews
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Text Classification
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+ dataset:
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+ name: ag_news
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+ type: ag_news
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+ config: default
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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: 0.9473684210526315
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+ verified: true
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+ - name: Precision Macro
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+ type: precision
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+ value: 0.9475794769963632
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+ verified: true
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+ - name: Precision Micro
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+ type: precision
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+ value: 0.9473684210526315
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+ verified: true
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+ - name: Precision Weighted
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+ type: precision
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+ value: 0.9475794769963634
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+ verified: true
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+ - name: Recall Macro
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+ type: recall
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+ value: 0.9473684210526315
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+ verified: true
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+ - name: Recall Micro
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+ type: recall
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+ value: 0.9473684210526315
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+ verified: true
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+ - name: Recall Weighted
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+ type: recall
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+ value: 0.9473684210526315
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+ verified: true
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+ - name: F1 Macro
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+ type: f1
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+ value: 0.9473486723357012
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+ verified: true
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+ - name: F1 Micro
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+ type: f1
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+ value: 0.9473684210526315
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+ verified: true
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+ - name: F1 Weighted
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+ type: f1
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+ value: 0.9473486723357011
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.16519339382648468
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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