metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - Ailyth/autotrain-data-3lables
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: 2.650072914067399

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3341092265
CO2 Emissions (in grams): 2.6501

Validation Metrics

Loss: 0.133
Accuracy: 0.950
Macro F1: 0.951
Micro F1: 0.950
Weighted F1: 0.950
Macro Precision: 0.951
Micro Precision: 0.950
Weighted Precision: 0.950
Macro Recall: 0.951
Micro Recall: 0.950
Weighted Recall: 0.950