metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - SebasV/autotrain-data-tableros_factibilidad
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: 0.7280371574302341

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 44246111623
CO2 Emissions (in grams): 0.7280

Validation Metrics

Loss: 0.962
Accuracy: 0.400
Macro F1: 0.375
Micro F1: 0.400
Weighted F1: 0.300
Macro Precision: 0.333
Micro Precision: 0.400
Weighted Precision: 0.267
Macro Recall: 0.500
Micro Recall: 0.400
Weighted Recall: 0.400