metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - ivensamdh/autotrain-data-convnext_test_masterage
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: 2.59724118879757

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2947785378
CO2 Emissions (in grams): 2.5972

Validation Metrics

Loss: 1.470
Accuracy: 0.408
Macro F1: 0.261
Micro F1: 0.408
Weighted F1: 0.392
Macro Precision: 0.285
Micro Precision: 0.408
Weighted Precision: 0.421
Macro Recall: 0.266
Micro Recall: 0.408
Weighted Recall: 0.408