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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 1.3782919645309448

f1_macro: 0.4333333333333333

f1_micro: 0.5

f1_weighted: 0.4861111111111111

precision_macro: 0.6666666666666667

precision_micro: 0.5

precision_weighted: 0.75

recall_macro: 0.4333333333333333

recall_micro: 0.5

recall_weighted: 0.5

accuracy: 0.5

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Model size

109M params

Tensor type

F32

Inference Examples

Text Classification

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google-bert/bert-base-uncased

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