---
tags:
- autotrain
- vision
- image-classification
datasets:
- AdamOswald1/autotrain-data-let
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: 3.216116887212137
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 2932785111
- CO2 Emissions (in grams): 3.2161

## Validation Metrics

- Loss: 1.165
- Accuracy: 0.376
- Macro F1: 0.269
- Micro F1: 0.376
- Weighted F1: 0.349
- Macro Precision: 0.235
- Micro Precision: 0.376
- Weighted Precision: 0.354
- Macro Recall: 0.413
- Micro Recall: 0.376
- Weighted Recall: 0.376