README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - juliensimon/autotrain-data-food101
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: 135.18748471833436

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1471154050
• CO2 Emissions (in grams): 135.1875

Validation Metrics

• Loss: 0.391
• Accuracy: 0.890
• Macro F1: 0.890
• Micro F1: 0.890
• Weighted F1: 0.890
• Macro Precision: 0.892
• Micro Precision: 0.890
• Weighted Precision: 0.892
• Macro Recall: 0.890
• Micro Recall: 0.890
• Weighted Recall: 0.890