---
tags:
- autotrain
- vision
- image-classification
datasets:
- nicolasvillamilsanchez/autotrain-data-igeous
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: 0.008659526025900772
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 52117122942
- CO2 Emissions (in grams): 0.0087

## Validation Metrics

- Loss: 0.310
- Accuracy: 0.889
- Macro F1: 0.883
- Micro F1: 0.889
- Weighted F1: 0.887
- Macro Precision: 0.899
- Micro Precision: 0.889
- Weighted Precision: 0.903
- Macro Recall: 0.885
- Micro Recall: 0.889
- Weighted Recall: 0.889