README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - fsuarez/autotrain-data-image-classification
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: 1.6524320573590656

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 86974143294
• CO2 Emissions (in grams): 1.6524

Validation Metrics

• Loss: 0.079
• Accuracy: 0.983
• Macro F1: 0.967
• Micro F1: 0.983
• Weighted F1: 0.983
• Macro Precision: 0.971
• Micro Precision: 0.983
• Weighted Precision: 0.983
• Macro Recall: 0.964
• Micro Recall: 0.983
• Weighted Recall: 0.983