metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - Denis1976/autotrain-data-training-cifar-10
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: 0.04830972304782199

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 81128141658
CO2 Emissions (in grams): 0.0483

Validation Metrics

Loss: 0.027
Accuracy: 0.990
Macro F1: 0.991
Micro F1: 0.990
Weighted F1: 0.991
Macro Precision: 0.989
Micro Precision: 0.990
Weighted Precision: 0.991
Macro Recall: 0.992
Micro Recall: 0.990
Weighted Recall: 0.990