
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.5112138390541077

f1: 0.7499999999999999

precision: 0.6

recall: 1.0

auc: 1.0

accuracy: 0.6

{"tags": ["autotrain", "image-classification"], "datasets": ["Naterea/autotrain-data-vxbcsdf123"], "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:Naterea/autotrain-data-vxbcsdf123 autotrain_compatible endpoints_compatible region:us