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tweet_offensive_eval

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tweet_offensive_eval / README.md
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autoevaluator HF staff
Add evaluation results on the offensive config and train split of tweet_eval
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metadata
language: en
license: mit
datasets:
  - tweet_eval
widget:
  - text: You're a complete idiot!
    example_title: Offensive
  - text: I am tired of studying for tomorrow's exam
    example_title: Non-Offensive
model-index:
  - name: elozano/tweet_offensive_eval
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: tweet_eval
          type: tweet_eval
          config: offensive
          split: train
        metrics:
          - type: accuracy
            value: 0.7905337361530715
            name: Accuracy
            verified: true
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          - type: f1
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            name: F1 Macro
            verified: true
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          - type: f1
            value: 0.7900949322071922
            name: F1 Weighted
            verified: true
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          - type: precision
            value: 0.763565822701511
            name: Precision Macro
            verified: true
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          - type: precision
            value: 0.7905337361530715
            name: Precision Micro
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          - type: precision
            value: 0.7897043529426439
            name: Precision Weighted
            verified: true
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          - type: recall
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            name: Recall Macro
            verified: true
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          - type: recall
            value: 0.7905337361530715
            name: Recall Micro
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