Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.30619508028030396

f1_macro: 0.9144546296168614

f1_micro: 0.9395170929954578

f1_weighted: 0.9393476038598597

precision_macro: 0.933137336891457

precision_micro: 0.9395170929954578

precision_weighted: 0.9396507724668284

recall_macro: 0.8988675495622459

recall_micro: 0.9395170929954578

recall_weighted: 0.9395170929954578

accuracy: 0.9395170929954578

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Safetensors

Model size

135M params

Tensor type

F32

Inference API

Text Classification

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vinai/phobert-base-v2

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