metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - ongp/autotrain-data-312312
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: 0.011291420892523918

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2723080856
CO2 Emissions (in grams): 0.0113

Validation Metrics

Loss: 0.877
Accuracy: 0.708
Macro F1: 0.695
Micro F1: 0.708
Weighted F1: 0.704
Macro Precision: 0.703
Micro Precision: 0.708
Weighted Precision: 0.711
Macro Recall: 0.699
Micro Recall: 0.708
Weighted Recall: 0.708