README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - mouss/autotrain-data-bbikes
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: 1.333999157955412

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 41250106361
• CO2 Emissions (in grams): 1.3340

Validation Metrics

• Loss: 0.599
• Accuracy: 0.830
• Macro F1: 0.829
• Micro F1: 0.830
• Weighted F1: 0.830
• Macro Precision: 0.831
• Micro Precision: 0.830
• Weighted Precision: 0.833
• Macro Recall: 0.831
• Micro Recall: 0.830
• Weighted Recall: 0.830