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dilarayavuz
/
olid-badnets-p10-bert-uncased

Text Classification
TensorBoard
Safetensors
bert
Trained with AutoTrain
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.38554590940475464

f1: 0.790948275862069

precision: 0.8101545253863135

recall: 0.7726315789473684

auc: 0.9041558393892681

accuracy: 0.837248322147651

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Text Classification
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