---
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-table_merge_vit_2
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: 0.08635530756140833
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 95271146330
- CO2 Emissions (in grams): 0.0864

## Validation Metrics

- Loss: 0.690
- Accuracy: 0.810
- Macro F1: 0.788
- Micro F1: 0.810
- Weighted F1: 0.807
- Macro Precision: 0.815
- Micro Precision: 0.810
- Weighted Precision: 0.813
- Macro Recall: 0.776
- Micro Recall: 0.810
- Weighted Recall: 0.810