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bert-emotion

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1

Add evaluation results on the emotion config and train split of tweet_eval

#1
by autoevaluator HF staff - opened
base: refs/heads/main
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from: refs/pr/1
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Files changed (1) hide show
  1. README.md +69 -5
README.md CHANGED
@@ -11,8 +11,8 @@ model-index:
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  - name: bert-emotion
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  results:
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  - task:
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- name: Text Classification
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  type: text-classification
 
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  dataset:
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  name: tweet_eval
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  type: tweet_eval
@@ -20,12 +20,76 @@ model-index:
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  split: validation
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  args: emotion
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.7505623807659564
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- - name: Recall
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- type: recall
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  value: 0.7243031825553111
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
 
11
  - name: bert-emotion
12
  results:
13
  - 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: tweet_eval
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  type: tweet_eval
 
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  split: validation
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  args: emotion
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  metrics:
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+ - type: precision
 
24
  value: 0.7505623807659564
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+ name: Precision
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+ - type: recall
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  value: 0.7243031825553111
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+ name: Recall
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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: tweet_eval
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+ type: tweet_eval
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+ config: emotion
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+ split: train
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+ metrics:
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+ - type: accuracy
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+ value: 0.9428922321154437
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+ name: Accuracy
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+ verified: true
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+ - type: f1
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+ value: 0.9304212170683719
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+ name: F1 Macro
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+ - type: f1
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+ value: 0.9428922321154437
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+ name: F1 Micro
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+ verified: true
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+ - type: f1
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+ value: 0.9425653813386263
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+ name: F1 Weighted
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+ verified: true
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+ value: 0.939002702832357
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+ name: Precision Macro
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+ verified: true
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+ - type: precision
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+ value: 0.9428922321154437
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+ name: Precision Micro
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+ verified: true
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+ value: 0.9233478444901599
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+ name: Recall Macro
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+ verified: true
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+ value: 0.9428922321154437
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+ name: Recall Micro
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+ verified: true
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+ - type: loss
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+ name: loss
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+ verified: true
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  ---
94
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You