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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.5065203905105591

f1_macro: 0.6568063618361998

f1_micro: 0.8080133555926544

f1_weighted: 0.7986661215017086

precision_macro: 0.6803020920803485

precision_micro: 0.8080133555926544

precision_weighted: 0.7930636324090059

recall_macro: 0.6418019731491658

recall_micro: 0.8080133555926544

recall_weighted: 0.8080133555926544

accuracy: 0.8080133555926544

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Safetensors

Model size

109M params

Tensor type

F32

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Text Classification

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Model tree for ytkmiz11/autotrain-xqz6k-h7j55

Base model

google-bert/bert-base-uncased

Finetuned

(2568)

this model