Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.8851153254508972

f1_macro: 0.6845343178671808

f1_micro: 0.6850662384584504

f1_weighted: 0.6834454222699836

precision_macro: 0.6899698563739772

precision_micro: 0.6850662384584504

precision_weighted: 0.6888476966796808

recall_macro: 0.6860535953088197

recall_micro: 0.6850662384584504

recall_weighted: 0.6850662384584504

accuracy: 0.6850662384584504

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Model size

109M params

Tensor type

F32

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Text Classification

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Model tree for hoangcung165/scanning-model-bert

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sentence-transformers/all-mpnet-base-v2

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