
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.11805555555555557

f1_micro: 0.21518987341772153

f1_weighted: 0.07621308016877638

precision_macro: 0.07172995780590717

precision_micro: 0.21518987341772153

precision_weighted: 0.04630668162153501

recall_macro: 0.3333333333333333

recall_micro: 0.21518987341772153

recall_weighted: 0.21518987341772153

accuracy: 0.21518987341772153

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-14tj1-1lmxo"], "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:yuanhuaisen/autotrain-data-autotrain-14tj1-1lmxo autotrain_compatible endpoints_compatible region:us