---
tags:
- autotrain
- vision
- image-classification
datasets:
- davanstrien/autotrain-data-mapreader-5000
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: 0.008077657735064319
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 40830105612
- CO2 Emissions (in grams): 0.0081

## Validation Metrics

- Loss: 0.038
- Accuracy: 0.995
- Macro F1: 0.983
- Micro F1: 0.995
- Weighted F1: 0.995
- Macro Precision: 0.991
- Micro Precision: 0.995
- Weighted Precision: 0.995
- Macro Recall: 0.975
- Micro Recall: 0.995
- Weighted Recall: 0.995