metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - fsuarez/autotrain-data-autotrain-simple-classifierv2
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: 1.0491199369635873

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 84935142669
CO2 Emissions (in grams): 1.0491

Validation Metrics

Loss: 0.111
Accuracy: 0.969
Macro F1: 0.935
Micro F1: 0.969
Weighted F1: 0.969
Macro Precision: 0.934
Micro Precision: 0.969
Weighted Precision: 0.970
Macro Recall: 0.939
Micro Recall: 0.969
Weighted Recall: 0.969