
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.061016949152542375

f1_micro: 0.18

f1_weighted: 0.054915254237288144

precision_macro: 0.036

precision_micro: 0.18

precision_weighted: 0.0324

recall_macro: 0.2

recall_micro: 0.18

recall_weighted: 0.18

accuracy: 0.18

{"tags": ["autotrain", "image-classification"], "datasets": ["abhishek/autotrain-data-autotrain-iaydp-g4ihr"], "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:abhishek/autotrain-data-autotrain-iaydp-g4ihr autotrain_compatible endpoints_compatible region:us