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bert-emotion

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4

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

#2
by autoevaluator HF staff - opened
base: refs/heads/main
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from: refs/pr/2
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  1. README.md +69 -5
README.md CHANGED
@@ -11,19 +11,83 @@ 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
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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: 0.7262254187805659
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- - name: Recall
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- type: recall
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  value: 0.725549671319356
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  args: emotion
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  metrics:
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+ - type: precision
 
22
  value: 0.7262254187805659
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+ name: Precision
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+ - type: recall
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  value: 0.725549671319356
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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: test
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+ metrics:
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+ - type: accuracy
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+ value: 0.7825475017593244
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+ name: Accuracy
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+ verified: true
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+ - type: f1
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+ name: F1 Micro
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+ - type: f1
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+ name: F1 Weighted
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+ verified: true
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+ name: Precision Macro
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+ verified: true
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+ - type: precision
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+ value: 0.7825475017593244
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+ name: Precision Micro
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+ verified: true
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+ verified: true
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+ - type: loss
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+ value: 0.8246609568595886
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+ name: loss
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQzZTk4YzM3OTI0MGUxYmY1YTU5YjUzOWIzMGVlN2Q1NTdjZmNhZjAxZGVmNTg3MTAyYzg3ODI1MmU3ZWM5ZSIsInZlcnNpb24iOjF9.feU19daDdE7OKkcop-Vq42FV2bZnHYVgBzsq6RM-823fZjdlgNZCWHFaEec2PF_HxIAnFDqsH6fJ7a1VhmTFCA
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  ---
92
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You