Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.753515899181366

f1_macro: 0.4396452790818988

f1_micro: 0.6666666666666666

f1_weighted: 0.6229098496704131

precision_macro: 0.43947620568508466

precision_micro: 0.6666666666666666

precision_weighted: 0.5984437153392759

recall_macro: 0.4535864978902954

recall_micro: 0.6666666666666666

recall_weighted: 0.6666666666666666

accuracy: 0.6666666666666666

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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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