---
tags:
- autotrain
- vision
- image-classification
datasets:
- tianchez/autotrain-data-line_clip_no_nut_boltline_clip_no_nut_bolt
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: 10.423410288264847
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 1523955096
- CO2 Emissions (in grams): 10.4234

## Validation Metrics

- Loss: 0.580
- Accuracy: 0.798
- Macro F1: 0.542
- Micro F1: 0.798
- Weighted F1: 0.796
- Macro Precision: 0.548
- Micro Precision: 0.798
- Weighted Precision: 0.796
- Macro Recall: 0.537
- Micro Recall: 0.798
- Weighted Recall: 0.798