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@@ -13,6 +13,43 @@ tags:
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  base_model: yazoniak/twitter-emotion-pl-classifier
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  library_name: optimum
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  pipeline_tag: text-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Polish Twitter Emotion Classifier (ONNX)
 
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  base_model: yazoniak/twitter-emotion-pl-classifier
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  library_name: optimum
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  pipeline_tag: text-classification
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+ model-index:
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+ - name: twitter-emotion-pl-classifier-onnx
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Multi-Label Emotion Classification
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+ dataset:
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+ type: yazoniak/TwitterEmo-PL-Refined
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+ name: TwitterEmo-PL-Refined
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+ split: validation
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+ metrics:
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+ - type: f1
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+ value: 0.8500
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+ name: F1 Macro
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+ verified: true
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+ args:
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+ average: macro
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+ - type: f1
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+ value: 0.8900
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+ name: F1 Micro
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+ verified: true
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+ args:
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+ average: micro
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+ - type: f1
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+ value: 0.8895
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+ name: F1 Weighted
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+ verified: true
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+ args:
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+ average: weighted
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+ - type: accuracy
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+ value: 0.5125
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+ name: Exact Match Accuracy
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+ verified: true
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+ - type: accuracy
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+ value: 0.8900
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+ name: Subset Accuracy
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+ verified: true
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  ---
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  # Polish Twitter Emotion Classifier (ONNX)