
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.5237402319908142

f1: 0.9333333333333333

precision: 0.875

recall: 1.0

auc: 0.9805194805194805

accuracy: 0.92

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-koz62-88avl"], "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 autotrain dataset:yuanhuaisen/autotrain-data-autotrain-koz62-88avl autotrain_compatible endpoints_compatible region:us