README.md

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: 0.6678858266803156

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 44246111621
• CO2 Emissions (in grams): 0.6679

Validation Metrics

• Loss: 1.097
• Accuracy: 0.200
• Macro F1: 0.167
• Micro F1: 0.200
• Weighted F1: 0.133
• Macro Precision: 0.125
• Micro Precision: 0.200
• Weighted Precision: 0.100
• Macro Recall: 0.250
• Micro Recall: 0.200
• Weighted Recall: 0.200