metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - galbitang/autotrain-data-lamp_style_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: 0.05306189559817472

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 94491146122
CO2 Emissions (in grams): 0.0531

Validation Metrics

Loss: 1.199
Accuracy: 0.574
Macro F1: 0.422
Micro F1: 0.574
Weighted F1: 0.552
Macro Precision: 0.484
Micro Precision: 0.574
Weighted Precision: 0.554
Macro Recall: 0.418
Micro Recall: 0.574
Weighted Recall: 0.574