README.md

metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - tianchez/autotrain-data-line_clip_no_nut_boltline_clip_no_nut_bolt
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: 10.423410288264847

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1523955096
• CO2 Emissions (in grams): 10.4234

Validation Metrics

• Loss: 0.580
• Accuracy: 0.798
• Macro F1: 0.542
• Micro F1: 0.798
• Weighted F1: 0.796
• Macro Precision: 0.548
• Micro Precision: 0.798
• Weighted Precision: 0.796
• Macro Recall: 0.537
• Micro Recall: 0.798
• Weighted Recall: 0.798