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Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 1.4913766384124756

f1_macro: 0.28164367547346275

f1_micro: 0.64

f1_weighted: 0.5917376665887304

precision_macro: 0.2705775014459225

precision_micro: 0.64

precision_weighted: 0.5802396761133604

recall_macro: 0.3324350649350649

recall_micro: 0.64

recall_weighted: 0.64

accuracy: 0.64

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Safetensors

Model size

184M params

Tensor type

F32

Inference Examples

Text Classification

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