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FER-Benchmarking
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---
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