Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.8434039950370789

f1_macro: 0.6405635167768103

f1_micro: 0.7258333333333333

f1_weighted: 0.7031763861072888

precision_macro: 0.6510401126834049

precision_micro: 0.7258333333333333

precision_weighted: 0.6973286083232175

recall_macro: 0.6512228541854506

recall_micro: 0.7258333333333333

recall_weighted: 0.7258333333333333

accuracy: 0.7258333333333333

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Safetensors

Model size

67M params

Tensor type

F32

Inference Examples

Text Classification

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distilbert/distilbert-base-uncased

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