metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - sasha/autotrain-data-butterfly_similarity_swin
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: 28.296015693616066

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2490776951
CO2 Emissions (in grams): 28.2960

Validation Metrics

Loss: 1.385
Accuracy: 0.689
Macro F1: 0.488
Micro F1: 0.689
Weighted F1: 0.641
Macro Precision: 0.483
Micro Precision: 0.689
Weighted Precision: 0.628
Macro Recall: 0.528
Micro Recall: 0.689
Weighted Recall: 0.689