readme: ---
  tags:
  - autotrain
  - vision
  - image-classification
  datasets:
  - ivensamdh/autotrain-data-age3
  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: 5.065800795931951
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Multi-class Classification
  - Model ID: 2658279907
  - CO2 Emissions (in grams): 5.0658
  
  ## Validation Metrics
  
  - Loss: 0.895
  - Accuracy: 0.770
  - Macro F1: 0.768
  - Micro F1: 0.770
  - Weighted F1: 0.768
  - Macro Precision: 0.773
  - Micro Precision: 0.770
  - Weighted Precision: 0.773
  - Macro Recall: 0.770
  - Micro Recall: 0.770
  - Weighted Recall: 0.770