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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Model size

109M params

Tensor type

F32

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Text Classification

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google-bert/bert-base-uncased

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