Gender Classifier (Fine-tuned illuin/roberta-large-bne)

This model was fine-tuned to classify text into: male, female, neutral

Performance Metrics

Metric Value
loss 0.4650
accuracy 0.8857
f1 0.8856
precision 0.8856
recall 0.8857
runtime 10.4045
samples_per_second 576.6720
steps_per_second 36.0420
epoch 3.0000

Hyperparameters

  • Batch Size: 16
  • Learning Rate: 5e-05
  • Epochs: 3
  • Weight Decay: 0.01
  • Mixed Precision (FP16): True

Quick Usage

from transformers import pipeline

# Load the model directly from this folder or HF Hub
classifier = pipeline('text-classification', model='.')
print(classifier('She is a great engineer.'))
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