readme: ---
  tags:
  - autotrain
  - vision
  - image-classification
  datasets:
  - AdamOswald1/autotrain-data-let
  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: 0.017109641157049823
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Multi-class Classification
  - Model ID: 2932785109
  - CO2 Emissions (in grams): 0.0171
  
  ## Validation Metrics
  
  - Loss: 1.241
  - Accuracy: 0.372
  - Macro F1: 0.228
  - Micro F1: 0.372
  - Weighted F1: 0.344
  - Macro Precision: 0.190
  - Micro Precision: 0.372
  - Weighted Precision: 0.337
  - Macro Recall: 0.355
  - Micro Recall: 0.372
  - Weighted Recall: 0.372