metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - lineups-io/autotrain-data-multifamily
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: 4.633385512099204

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3716799077
CO2 Emissions (in grams): 4.6334

Validation Metrics

Loss: 0.777
Accuracy: 0.762
Macro F1: 0.740
Micro F1: 0.762
Weighted F1: 0.742
Macro Precision: 0.754
Micro Precision: 0.762
Weighted Precision: 0.754
Macro Recall: 0.758
Micro Recall: 0.762
Weighted Recall: 0.762