---
tags:
- autotrain
- vision
- image-classification
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
co2_eq_emissions:
  emissions: 0.585440649292437
---

## Validation Metrics

- Loss: 0.416
- Accuracy: 0.880
- Macro F1: 0.851
- Micro F1: 0.880
- Weighted F1: 0.866
- Macro Precision: 0.917
- Micro Precision: 0.880
- Weighted Precision: 0.913
- Macro Recall: 0.857
- Micro Recall: 0.880
- Weighted Recall: 0.880