metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - davanstrien/autotrain-data-color-image-dating
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: 1.602513246354456

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 55447129537
CO2 Emissions (in grams): 1.6025

Validation Metrics

Loss: 0.958
Accuracy: 0.615
Macro F1: 0.615
Micro F1: 0.615
Weighted F1: 0.615
Macro Precision: 0.618
Micro Precision: 0.615
Weighted Precision: 0.618
Macro Recall: 0.615
Micro Recall: 0.615
Weighted Recall: 0.615