---
tags:
- autotrain
- image-classification
base_model: microsoft/resnet-50
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
---

# Model Trained Using AutoTrain

- Problem type: Image Classification

## Validation Metrics
loss: 3.142681837081909

f1_macro: 0.02830170335299915

f1_micro: 0.20643939393939395

f1_weighted: 0.09619191663674405

precision_macro: 0.03697093460585543

precision_micro: 0.20643939393939395

precision_weighted: 0.0998764466790715

recall_macro: 0.05223286714505793

recall_micro: 0.20643939393939395

recall_weighted: 0.20643939393939395

accuracy: 0.20643939393939395