---
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-sofa_style_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: 3.4207192080038333
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 94412146080
- CO2 Emissions (in grams): 3.4207

## Validation Metrics

- Loss: 0.863
- Accuracy: 0.722
- Macro F1: 0.660
- Micro F1: 0.722
- Weighted F1: 0.711
- Macro Precision: 0.720
- Micro Precision: 0.722
- Weighted Precision: 0.735
- Macro Recall: 0.667
- Micro Recall: 0.722
- Weighted Recall: 0.722