
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 14316332.0

f1: 0.6666666666666666

precision: 0.5

recall: 1.0

auc: 0.9694656488549619

accuracy: 0.5

{"tags": ["autotrain", "image-classification"], "datasets": ["Naterea/autotrain-data-YT_REDD_V2_BASE"], "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:Naterea/autotrain-data-YT_REDD_V2_BASE autotrain_compatible endpoints_compatible region:us