metadata

tags:
  - autotrain
  - vision
  - image-classification
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: 11.205178749202512

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 42615108993
CO2 Emissions (in grams): 11.2052

Validation Metrics

Loss: 0.761
Accuracy: 0.729
Macro F1: 0.682
Micro F1: 0.729
Weighted F1: 0.723
Macro Precision: 0.742
Micro Precision: 0.729
Weighted Precision: 0.726
Macro Recall: 0.658
Micro Recall: 0.729
Weighted Recall: 0.729