
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.31477582454681396

f1: 0.7499999999999999

precision: 1.0

recall: 0.6

auc: 0.915

accuracy: 0.8666666666666667

{"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-image-classification-for-slides-240203/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-image-classification-for-slides-240203/autotrain-data autotrain_compatible endpoints_compatible region:us