metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - sasha/autotrain-data-butterfly-similarity
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: 21.263808199884835

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2490576840
CO2 Emissions (in grams): 21.2638

Validation Metrics

Loss: 1.818
Accuracy: 0.609
Macro F1: 0.409
Micro F1: 0.609
Weighted F1: 0.559
Macro Precision: 0.404
Micro Precision: 0.609
Weighted Precision: 0.542
Macro Recall: 0.446
Micro Recall: 0.609
Weighted Recall: 0.609