metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - AdamOswald1/autotrain-data-let
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: 0.017109641157049823

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2932785109
CO2 Emissions (in grams): 0.0171

Validation Metrics

Loss: 1.241
Accuracy: 0.372
Macro F1: 0.228
Micro F1: 0.372
Weighted F1: 0.344
Macro Precision: 0.190
Micro Precision: 0.372
Weighted Precision: 0.337
Macro Recall: 0.355
Micro Recall: 0.372
Weighted Recall: 0.372