
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.053496960550546646

f1: 0.9824561403508772

precision: 0.984182776801406

recall: 0.9807355516637478

auc: 0.9982940020845161

accuracy: 0.9837133550488599

{"tags": ["autotrain", "image-classification"], "datasets": ["Zmu/autotrain-data-xcd_classification_v3"], "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_v3 autotrain_compatible endpoints_compatible region:us