Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 1.1588923931121826

f1_macro: 0.47992976001676585

f1_micro: 0.62

f1_weighted: 0.5779788692093073

precision_macro: 0.5334613415258577

precision_micro: 0.62

precision_weighted: 0.5919508448540707

recall_macro: 0.5009906477566362

recall_micro: 0.62

recall_weighted: 0.62

accuracy: 0.62

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Model size

178M params

Tensor type

F32

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Text Classification

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Model tree for AriKu999/autotrain-09geq-q069u

Base model

google-bert/bert-base-multilingual-cased

Finetuned

(632)

this model