
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.014193599112331867

f1: 0.9965141612200434

precision: 0.9986899563318777

recall: 0.9943478260869565

auc: 0.9999258034026465

accuracy: 0.9965217391304347

{"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-cjwsi-5jxj6/autotrain-data"], "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:autotrain-cjwsi-5jxj6/autotrain-data autotrain_compatible endpoints_compatible region:us