---
tags:
- autotrain
- vision
- image-classification
datasets:
- Pafebla/autotrain-data-reconocimiento_banderas
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: 1.3323699904171715
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 2960885598
- CO2 Emissions (in grams): 1.3324

## Validation Metrics

- Loss: 0.266
- Accuracy: 0.950
- Macro F1: 0.943
- Micro F1: 0.950
- Weighted F1: 0.949
- Macro Precision: 0.963
- Micro Precision: 0.950
- Weighted Precision: 0.956
- Macro Recall: 0.933
- Micro Recall: 0.950
- Weighted Recall: 0.950