
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: nan

f1_macro: 0.19999999999999998

f1_micro: 0.42857142857142855

f1_weighted: 0.2571428571428571

precision_macro: 0.14285714285714285

precision_micro: 0.42857142857142855

precision_weighted: 0.18367346938775508

recall_macro: 0.3333333333333333

recall_micro: 0.42857142857142855

recall_weighted: 0.42857142857142855

accuracy: 0.42857142857142855

{"tags": ["autotrain", "image-classification"], "datasets": ["xxhwjzx/autotrain-data-yanzheng"], "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 resnet image-classification autotrain dataset:xxhwjzx/autotrain-data-yanzheng autotrain_compatible endpoints_compatible region:us