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README.md
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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)
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