metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - lossless/autotrain-data-vertigo-actors-03
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: 0.025222357111293562

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 90426144282
CO2 Emissions (in grams): 0.0252

Validation Metrics

Loss: 0.550
Accuracy: 0.850
Macro F1: 0.798
Micro F1: 0.850
Weighted F1: 0.844
Macro Precision: 0.815
Micro Precision: 0.850
Weighted Precision: 0.844
Macro Recall: 0.792
Micro Recall: 0.850
Weighted Recall: 0.850