metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - ivensamdh/autotrain-data-age3
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: 5.065800795931951

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2658279907
CO2 Emissions (in grams): 5.0658

Validation Metrics

Loss: 0.895
Accuracy: 0.770
Macro F1: 0.768
Micro F1: 0.770
Weighted F1: 0.768
Macro Precision: 0.773
Micro Precision: 0.770
Weighted Precision: 0.773
Macro Recall: 0.770
Micro Recall: 0.770
Weighted Recall: 0.770