metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - superdinmc/autotrain-data-orbit-millets-2
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: 0.03300789560397862

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 94372146064
CO2 Emissions (in grams): 0.0330

Validation Metrics

Loss: 1.710
Accuracy: 0.327
Macro F1: 0.262
Micro F1: 0.327
Weighted F1: 0.309
Macro Precision: 0.277
Micro Precision: 0.327
Weighted Precision: 0.312
Macro Recall: 0.270
Micro Recall: 0.327
Weighted Recall: 0.327