metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - kripsjaviya/autotrain-data-ssip2
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: 1.817950842757937

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3163789300
CO2 Emissions (in grams): 1.8180

Validation Metrics

Loss: 0.132
Accuracy: 0.967
Macro F1: 0.966
Micro F1: 0.967
Weighted F1: 0.966
Macro Precision: 0.968
Micro Precision: 0.967
Weighted Precision: 0.968
Macro Recall: 0.967
Micro Recall: 0.967
Weighted Recall: 0.967