metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - shahukareem/autotrain-data-hedhikaa-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: 0.0059374716509795235

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1433153614
CO2 Emissions (in grams): 0.0059

Validation Metrics

Loss: 0.177
Accuracy: 0.976
Macro F1: 0.961
Micro F1: 0.976
Weighted F1: 0.976
Macro Precision: 0.969
Micro Precision: 0.976
Weighted Precision: 0.979
Macro Recall: 0.958
Micro Recall: 0.976
Weighted Recall: 0.976