metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - galbitang/autotrain-data-lamp_1021
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: 2.477378686786967

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 96396146650
CO2 Emissions (in grams): 2.4774

Validation Metrics

Loss: 0.402
Accuracy: 0.881
Macro F1: 0.805
Micro F1: 0.881
Weighted F1: 0.873
Macro Precision: 0.884
Micro Precision: 0.881
Weighted Precision: 0.881
Macro Recall: 0.764
Micro Recall: 0.881
Weighted Recall: 0.881