README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - friesel/autotrain-data-tarkov_images_reduced_i
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: 1.402074313856096

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 48889118357
• CO2 Emissions (in grams): 1.4021

Validation Metrics

• Loss: 0.038
• Accuracy: 0.986
• Macro F1: 0.977
• Micro F1: 0.986
• Weighted F1: 0.986
• Macro Precision: 0.980
• Micro Precision: 0.986
• Weighted Precision: 0.990
• Macro Recall: 0.982
• Micro Recall: 0.986
• Weighted Recall: 0.986