
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 1.087890625

f1_macro: 0.26666666666666666

f1_micro: 0.5

f1_weighted: 0.4

precision_macro: 0.2222222222222222

precision_micro: 0.5

precision_weighted: 0.3333333333333333

recall_macro: 0.3333333333333333

recall_micro: 0.5

recall_weighted: 0.5

accuracy: 0.5

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-wo0g3-9eb7w"], "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-wo0g3-9eb7w autotrain_compatible endpoints_compatible region:us