
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.4175724387168884

f1_macro: 0.7720961603314546

f1_micro: 0.8767123287671232

f1_weighted: 0.8574316899860817

precision_macro: 0.8490555071200232

precision_micro: 0.8767123287671232

precision_weighted: 0.8791869200176757

recall_macro: 0.7687687687687688

recall_micro: 0.8767123287671232

recall_weighted: 0.8767123287671232

accuracy: 0.8767123287671232

{"tags": ["autotrain", "image-classification"], "datasets": ["yuanhuaisen/autotrain-data-autotrain-31b7i-w1ict"], "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-31b7i-w1ict autotrain_compatible endpoints_compatible region:us