
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.12345679012345678

f1_micro: 0.22727272727272727

f1_weighted: 0.08417508417508417

precision_macro: 0.07575757575757576

precision_micro: 0.22727272727272727

precision_weighted: 0.051652892561983466

recall_macro: 0.3333333333333333

recall_micro: 0.22727272727272727

recall_weighted: 0.22727272727272727

accuracy: 0.22727272727272727

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-55x6s-5uwoq"], "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-55x6s-5uwoq autotrain_compatible endpoints_compatible region:us