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neurips-user
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neurips-bert-combined-1

Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
Inference Endpoints
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.5809483528137207

f1: 0.6265060240963856

precision: 0.7878787878787878

recall: 0.52

auc: 0.8136

accuracy: 0.69

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Safetensors
Model size
109M params
Tensor type
F32
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Text Classification
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