
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.044754352420568466

f1: 0.9852413242919825

precision: 0.9975767366720517

recall: 0.9732072498029944

auc: 0.9994751008188858

accuracy: 0.9864568081991215

{"tags": ["autotrain", "image-classification"], "datasets": ["Zmu/autotrain-data-xcd_classification"], "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:Zmu/autotrain-data-xcd_classification autotrain_compatible endpoints_compatible region:us