Metric	Value
loss	0.4235
accuracy	0.9050
f1	0.9050
precision	0.9050
recall	0.9050
runtime	2.1530
samples_per_second	2786.8420
steps_per_second	43.6610
epoch	3.0000

Hyperparameters

Batch Size: 64
Learning Rate: 5e-05
Epochs: 3
Weight Decay: 0.01
Mixed Precision (FP16): True

Quick Usage

python

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.'))

IsGarrido/gender_classifier_es_roberta_base

Gender Classifier (Fine-tuned PeterPanecillo/PlanTL-GOB-ES-roberta-base-bne-copy)

Performance Metrics

Hyperparameters

Quick Usage

IsGarrido/
gender_classifier_es_roberta_base