mserloth
/

V22

Text Classification

Trained with AutoTrain

text-embeddings-inference

Model card Files Files and versions

Metrics Training metrics Community

Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.6592479348182678

f1_macro: 0.7200544867211534

f1_micro: 0.7365079365079366

f1_weighted: 0.7401985275001148

precision_macro: 0.7198264429452804

precision_micro: 0.7365079365079366

precision_weighted: 0.7519327133494232

recall_macro: 0.7261276775733405

recall_micro: 0.7365079365079366

recall_weighted: 0.7365079365079366

accuracy: 0.7365079365079366

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Safetensors

Model size

0.1B params

Tensor type

F32

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