Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.7027390003204346

f1_macro: 0.7639166284897235

f1_micro: 0.7675

f1_weighted: 0.7639166284897234

precision_macro: 0.7707776790623644

precision_micro: 0.7675

precision_weighted: 0.7707776790623645

recall_macro: 0.7675

recall_micro: 0.7675

recall_weighted: 0.7675

accuracy: 0.7675

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Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Text Classification

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