README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - rwcuffney/autotrain-data-pick_a_card
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: 0.06604434070314698

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3726099221
• CO2 Emissions (in grams): 0.0660

Validation Metrics

• Loss: 0.061
• Accuracy: 0.981
• Macro F1: 0.980
• Micro F1: 0.981
• Weighted F1: 0.980
• Macro Precision: 0.984
• Micro Precision: 0.981
• Weighted Precision: 0.984
• Macro Recall: 0.981
• Micro Recall: 0.981
• Weighted Recall: 0.981