
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.11111111111111112

f1_micro: 0.19480519480519481

f1_weighted: 0.06493506493506494

precision_macro: 0.06666666666666667

precision_micro: 0.19480519480519481

precision_weighted: 0.03896103896103896

recall_macro: 0.3333333333333333

recall_micro: 0.19480519480519481

recall_weighted: 0.19480519480519481

accuracy: 0.19480519480519481

{"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-vit-base-v3/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 vit image-classification autotrain dataset:autotrain-vit-base-v3/autotrain-data autotrain_compatible endpoints_compatible region:us