metadata

tags:
  - autotrain
  - vision
  - image-classification
datasets:
  - kdhht2334/autotrain-data-diffusion-emotion-facial-expression-recognition
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: 0.8103871386449576

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 40429105176
CO2 Emissions (in grams): 0.8104

Validation Metrics

Loss: 0.490
Accuracy: 0.847
Macro F1: 0.779
Micro F1: 0.847
Weighted F1: 0.843
Macro Precision: 0.784
Micro Precision: 0.847
Weighted Precision: 0.850
Macro Recall: 0.792
Micro Recall: 0.847
Weighted Recall: 0.847