Model Trained Using AutoTrain

Problem type: Image Classification

Validation Metricsg

loss: nan

f1_macro: 0.03333333333333333

f1_micro: 0.1111111111111111

f1_weighted: 0.02222222222222222

precision_macro: 0.018518518518518517

precision_micro: 0.1111111111111111

precision_weighted: 0.012345679012345678

recall_macro: 0.16666666666666666

recall_micro: 0.1111111111111111

recall_weighted: 0.1111111111111111

accuracy: 0.1111111111111111

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Safetensors

Model size

303M params

Tensor type

F32

Inference Examples

Image Classification

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