---
tags:
- autotrain
- vision
- image-classification
datasets:
- sasha/autotrain-data-sea-slug-similarity
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: 13.759124872304856
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 2498977005
- CO2 Emissions (in grams): 13.7591

## Validation Metrics

- Loss: 0.757
- Accuracy: 0.837
- Macro F1: 0.778
- Micro F1: 0.837
- Weighted F1: 0.816
- Macro Precision: 0.787
- Micro Precision: 0.837
- Weighted Precision: 0.825
- Macro Recall: 0.796
- Micro Recall: 0.837
- Weighted Recall: 0.837