Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.01777876727283001

f1: 0.9969837416317222

precision: 0.9972038263428992

recall: 0.9967637540453075

auc: 0.9999289486306174

accuracy: 0.9969841853622655

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Safetensors

Model size

109M params

Tensor type

F32

Inference API

Text Classification

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Model tree for ChoudharyTAlhaArain/autotrain-vp92t-1q2id

Base model

google-bert/bert-base-uncased

Finetuned

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