
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.15279646217823029

f1: 0.9732620320855614

precision: 0.9891304347826086

recall: 0.9578947368421052

auc: 0.9932718393922951

accuracy: 0.9739583333333334

{"tags": ["autotrain", "image-classification"], "datasets": ["CartoonOrNotV2/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 swin image-classification autotrain dataset:CartoonOrNotV2/autotrain-data autotrain_compatible endpoints_compatible region:us