---
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-ijeongmi_lamp_final
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: 2.397022420581575
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 95169146297
- CO2 Emissions (in grams): 2.3970

## Validation Metrics

- Loss: 1.042
- Accuracy: 0.655
- Macro F1: 0.563
- Micro F1: 0.655
- Weighted F1: 0.646
- Macro Precision: 0.602
- Micro Precision: 0.655
- Weighted Precision: 0.652
- Macro Recall: 0.552
- Micro Recall: 0.655
- Weighted Recall: 0.655