metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - galbitang/autotrain-data-ijeongmi_lamp_final
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: 2.397022420581575

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 95169146297
CO2 Emissions (in grams): 2.3970

Validation Metrics

Loss: 1.042
Accuracy: 0.655
Macro F1: 0.563
Micro F1: 0.655
Weighted F1: 0.646
Macro Precision: 0.602
Micro Precision: 0.655
Weighted Precision: 0.652
Macro Recall: 0.552
Micro Recall: 0.655
Weighted Recall: 0.655