metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - swww/autotrain-data-test
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: 1.9626027616152408

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2928085012
CO2 Emissions (in grams): 1.9626

Validation Metrics

Loss: 0.226
Accuracy: 0.925
Macro F1: 0.925
Micro F1: 0.925
Weighted F1: 0.925
Macro Precision: 0.929
Micro Precision: 0.925
Weighted Precision: 0.929
Macro Recall: 0.925
Micro Recall: 0.925
Weighted Recall: 0.925