IsGarrido/gender_classifier_en_modernbert_base

Gender Classifier (Fine-tuned answerdotai/ModernBERT-base)

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

Performance Metrics

Metric	Value
loss	0.2923
accuracy	0.9330
f1	0.9326
precision	0.9332
recall	0.9332
runtime	27.4919
samples_per_second	218.2460
steps_per_second	3.4190
epoch	3.0000

Hyperparameters

• Batch Size: 64
• 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.'))