metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - nicolasvillamilsanchez/autotrain-data-igeous
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: 0.008659526025900772

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 52117122942
CO2 Emissions (in grams): 0.0087

Validation Metrics

Loss: 0.310
Accuracy: 0.889
Macro F1: 0.883
Micro F1: 0.889
Weighted F1: 0.887
Macro Precision: 0.899
Micro Precision: 0.889
Weighted Precision: 0.903
Macro Recall: 0.885
Micro Recall: 0.889
Weighted Recall: 0.889