tags:

• image-classification
• pytorch metrics:
• accuracy

model-index: - name: gender-classification results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.970833

gender-classification

Evaluate set: 240 unseen images, from 27/05-29/05 from ShotX, no duplicate, clean, 120 male and 120 female. Loss function is CrossEntropy. Model finetuning on 1827 images from 15/05-21/05 from ShotX, base on rizvandwiki/gender-classification. . Using AdamW optimizer, weight_decay=0.05, CosineAnnealingLR scheduler, learning rate 5e-6, 20 epochs.

    accuracy    loss

    0.970833    0.102212   

Example Images

female

male