
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.4435860514640808

f1: 0.823211781206171

precision: 0.8121065375302663

recall: 0.8346249555634554

auc: 0.8712395645629174

accuracy: 0.7952819846522392

{"tags": ["autotrain", "image-classification"], "datasets": ["samihaafaf/autotrain-data-test3"], "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 resnet image-classification autotrain dataset:samihaafaf/autotrain-data-test3 autotrain_compatible endpoints_compatible region:us