---
tags:
- autotrain
- vision
- image-classification
datasets:
- ivensamdh/autotrain-data-convnext_test_masterage
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: 2.59724118879757
---

# Model Trained Using AutoTrain

- Problem type: Multi-class Classification
- Model ID: 2947785378
- CO2 Emissions (in grams): 2.5972

## Validation Metrics

- Loss: 1.470
- Accuracy: 0.408
- Macro F1: 0.261
- Micro F1: 0.408
- Weighted F1: 0.392
- Macro Precision: 0.285
- Micro Precision: 0.408
- Weighted Precision: 0.421
- Macro Recall: 0.266
- Micro Recall: 0.408
- Weighted Recall: 0.408