Kaludi
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autotrain-28eqp-t2e16

Text Classification

Trained with AutoTrain

Inference Endpoints

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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.18809613585472107

f1: 0.967032967032967

precision: 0.9617486338797814

recall: 0.9723756906077348

auc: 0.9890489344909235

accuracy: 0.9656160458452722

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Safetensors

Model size

279M params

Tensor type

F32

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