Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.3905062973499298

f1: 0.7820443482963764

precision: 0.8042269187986651

recall: 0.7610526315789473

auc: 0.8991059238053292

accuracy: 0.8309563758389261

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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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