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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.24498265981674194

f1_macro: 0.9244631728799089

f1_micro: 0.9390389672483863

f1_weighted: 0.9389134636561386

precision_macro: 0.9458913396195016

precision_micro: 0.9390389672483863

precision_weighted: 0.9393976940878069

recall_macro: 0.9051122705051101

recall_micro: 0.9390389672483863

recall_weighted: 0.9390389672483863

accuracy: 0.9390389672483863

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Model size

135M params

Tensor type

F32

Inference Examples

Text Classification

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