metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - rwcuffney/autotrain-data-pick_a_card
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: 0.07713046775481007

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3726099223
CO2 Emissions (in grams): 0.0771

Validation Metrics

Loss: 1.034
Accuracy: 0.792
Macro F1: 0.785
Micro F1: 0.792
Weighted F1: 0.785
Macro Precision: 0.812
Micro Precision: 0.792
Weighted Precision: 0.812
Macro Recall: 0.792
Micro Recall: 0.792
Weighted Recall: 0.792