
# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metricsg
loss: 0.05566494166851044

f1_macro: 0.9822762607526727

f1_micro: 0.9818181818181818

f1_weighted: 0.9817521242226859

precision_macro: 0.9820894227603638

precision_micro: 0.9818181818181818

precision_weighted: 0.981850377976082

recall_macro: 0.9826135468293302

recall_micro: 0.9818181818181818

recall_weighted: 0.9818181818181818

accuracy: 0.9818181818181818

{"tags": ["autotrain", "image-classification"], "datasets": ["abhishek/autotrain-data-bxw3-9299-s4ce"], "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:abhishek/autotrain-data-bxw3-9299-s4ce autotrain_compatible endpoints_compatible region:us