
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.4276469945907593

f1_macro: 0.8530901722391085

f1_micro: 0.875

f1_weighted: 0.878488532743852

precision_macro: 0.8621098104793757

precision_micro: 0.875

precision_weighted: 0.8893636933718457

recall_macro: 0.8544277360066833

recall_micro: 0.875

recall_weighted: 0.875

accuracy: 0.875

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-r6fhf-a4d7f"], "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-r6fhf-a4d7f autotrain_compatible endpoints_compatible region:us