
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.12359786778688431

f1: 1.0

precision: 1.0

recall: 1.0

auc: 0.9999999999999999

accuracy: 1.0

{"tags": ["autotrain", "image-classification"], "datasets": ["Naterea/autotrain-data-YT_REDD_V1_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_V1_BASE autotrain_compatible endpoints_compatible region:us