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---
license: apache-2.0
---
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](https://huggingface.co/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
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