---
tags:
- autotrain
- vision
- image-classification
datasets:
- bazudde/autotrain-data-sweet-potato-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: 0.2585547491917275
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 44552112263
- CO2 Emissions (in grams): 0.2586

## Validation Metrics

- Loss: 0.098
- Accuracy: 0.923
- Macro F1: 0.911
- Micro F1: 0.923
- Weighted F1: 0.918
- Macro Precision: 0.958
- Micro Precision: 0.923
- Weighted Precision: 0.933
- Macro Recall: 0.889
- Micro Recall: 0.923
- Weighted Recall: 0.923