
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.8730660676956177

f1_macro: 1.0

f1_micro: 1.0

f1_weighted: 1.0

precision_macro: 1.0

precision_micro: 1.0

precision_weighted: 1.0

recall_macro: 1.0

recall_micro: 1.0

recall_weighted: 1.0

accuracy: 1.0

{"tags": ["autotrain", "image-classification"], "datasets": ["lxl2023/autotrain-data-autotrain-wf2gy-dl7q8"], "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:lxl2023/autotrain-data-autotrain-wf2gy-dl7q8 autotrain_compatible endpoints_compatible region:us