metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - NimaBoscarino/autotrain-data-temp-nima
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: 0.01165947148172322

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1433953639
CO2 Emissions (in grams): 0.0117

Validation Metrics

Loss: 0.606
Accuracy: 0.880
Macro F1: 0.844
Micro F1: 0.880
Weighted F1: 0.844
Macro Precision: 0.827
Micro Precision: 0.880
Weighted Precision: 0.827
Macro Recall: 0.880
Micro Recall: 0.880
Weighted Recall: 0.880