README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - sbrandeis-test-org/autotrain-data-auto-retrain-190471b
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: 0.5727250562055856

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3020886685
• CO2 Emissions (in grams): 0.5727

Validation Metrics

• Loss: 0.002
• Accuracy: 1.000
• Macro F1: 1.000
• Micro F1: 1.000
• Weighted F1: 1.000
• Macro Precision: 1.000
• Micro Precision: 1.000
• Weighted Precision: 1.000
• Macro Recall: 1.000
• Micro Recall: 1.000
• Weighted Recall: 1.000