
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 1.019775390625

f1_macro: 0.6

f1_micro: 0.75

f1_weighted: 0.65

precision_macro: 0.5555555555555555

precision_micro: 0.75

precision_weighted: 0.5833333333333333

recall_macro: 0.6666666666666666

recall_micro: 0.75

recall_weighted: 0.75

accuracy: 0.75

{"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-vit-base-2/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-2/autotrain-data autotrain_compatible endpoints_compatible region:us