Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.35589179396629333

f1_macro: 0.595634158920238

f1_micro: 0.891

f1_weighted: 0.8885361164291375

precision_macro: 0.5951980653344427

precision_micro: 0.891

precision_weighted: 0.8880487473890346

recall_macro: 0.5973960229187733

recall_micro: 0.891

recall_weighted: 0.891

accuracy: 0.891

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Safetensors

Model size

125M params

Tensor type

F32

Inference Examples

Text Classification

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