eprasad
/

sentiment-distillation-smollm

Text Classification

Trained with AutoTrain

text-embeddings-inference

Model card Files Files and versions

Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.018435794860124588

f1_macro: 0.9824361536076897

f1_micro: 0.9939879759519038

f1_weighted: 0.9941156708822703

precision_macro: 0.9705882352941176

precision_micro: 0.9939879759519038

precision_weighted: 0.9945184486620299

recall_macro: 0.9956576893052302

recall_micro: 0.9939879759519038

recall_weighted: 0.9939879759519038

accuracy: 0.9939879759519038

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Safetensors

Model size

0.1B params

Tensor type

F32

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