metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- Flooki10/autotrain-data-pr_final_covid-19
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: 0.03038065952516761
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 59314133613
- CO2 Emissions (in grams): 0.0304
Validation Metrics
- Loss: 1.808
- Accuracy: 0.040
- Macro F1: 0.037
- Micro F1: 0.040
- Weighted F1: 0.074
- Macro Precision: 0.242
- Micro Precision: 0.040
- Weighted Precision: 0.484
- Macro Recall: 0.020
- Micro Recall: 0.040
- Weighted Recall: 0.040