---
tags:
- autotrain
- vision
- image-classification
datasets:
- neil-code/autotrain-data-img-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: 0.6526014128217533
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 84361142494
- CO2 Emissions (in grams): 0.6526

## Validation Metrics

- Loss: 0.697
- Accuracy: 0.753
- Macro F1: 0.751
- Micro F1: 0.753
- Weighted F1: 0.754
- Macro Precision: 0.761
- Micro Precision: 0.753
- Weighted Precision: 0.763
- Macro Recall: 0.748
- Micro Recall: 0.753
- Weighted Recall: 0.753