
## Validation Metrics
loss: 0.028854751959443092

f1: 0.9889064976228209

precision: 0.9936305732484076

recall: 0.9842271293375394

auc: 0.9995604281946529

accuracy: 0.9897510980966325
{"tags": ["image-classification", "nudity-detection"], "datasets": ["Zmu/xcd_image"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", "example_title": "Teapot"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", "example_title": "Palace"}]}
transformers safetensors vit image-classification nudity-detection dataset:Zmu/xcd_image autotrain_compatible endpoints_compatible region:us