
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.029761904761904757

f1_micro: 0.09803921568627451

f1_weighted: 0.01750700280112045

precision_macro: 0.016339869281045753

precision_micro: 0.09803921568627451

precision_weighted: 0.009611687812379853

recall_macro: 0.16666666666666666

recall_micro: 0.09803921568627451

recall_weighted: 0.09803921568627451

accuracy: 0.09803921568627451

{"tags": ["autotrain", "image-classification"], "datasets": ["99spokes/autotrain-data-bike-image-classifier-autotrain-resnet"], "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:99spokes/autotrain-data-bike-image-classifier-autotrain-resnet autotrain_compatible endpoints_compatible region:us