Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 2.303269863128662

f1_macro: 0.040508170738823165

f1_micro: 0.3367965367965368

f1_weighted: 0.2413478397672539

precision_macro: 0.0434917012251169

precision_micro: 0.3367965367965368

precision_weighted: 0.21644678791353103

recall_macro: 0.05803911531326899

recall_micro: 0.3367965367965368

recall_weighted: 0.3367965367965368

accuracy: 0.3367965367965368

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Model size

279M params

Tensor type

F32

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Text Classification

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Model tree for metoledo/autotrain-x03ts-qcf7e

Base model

MoritzLaurer/mDeBERTa-v3-base-mnli-xnli

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