---
tags:
- autotrain
- vision
- image-classification
datasets:
- Lloviant/autotrain-data-ex-and-pt
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: 0.5722366196083666
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 3122688387
- CO2 Emissions (in grams): 0.5722

## Validation Metrics

- Loss: 1.749
- Accuracy: 0.571
- Macro F1: 0.444
- Micro F1: 0.571
- Weighted F1: 0.476
- Macro Precision: 0.417
- Micro Precision: 0.571
- Weighted Precision: 0.429
- Macro Recall: 0.500
- Micro Recall: 0.571
- Weighted Recall: 0.571