metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - sasha/autotrain-data-sea-slug-similarity
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: 13.759124872304856

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2498977005
CO2 Emissions (in grams): 13.7591

Validation Metrics

Loss: 0.757
Accuracy: 0.837
Macro F1: 0.778
Micro F1: 0.837
Weighted F1: 0.816
Macro Precision: 0.787
Micro Precision: 0.837
Weighted Precision: 0.825
Macro Recall: 0.796
Micro Recall: 0.837
Weighted Recall: 0.837