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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.46745064854621887

f1_macro: 0.8387454620589124

f1_micro: 0.8479020979020979

f1_weighted: 0.839048143374511

precision_macro: 0.8497877221797597

precision_micro: 0.8479020979020979

precision_weighted: 0.849814874011776

recall_macro: 0.8473639455782312

recall_micro: 0.8479020979020979

recall_weighted: 0.8479020979020979

accuracy: 0.8479020979020979

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Safetensors

Model size

82.3M params

Tensor type

F32

Inference Examples

Text Classification

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