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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