metadata
tags:
- autotrain
- vision
- image-classification
datasets:
- galbitang/autotrain-data-jeongmi_lamp
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: 0.04531346571155647
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 94917146228
- CO2 Emissions (in grams): 0.0453
Validation Metrics
- Loss: 1.114
- Accuracy: 0.642
- Macro F1: 0.465
- Micro F1: 0.642
- Weighted F1: 0.612
- Macro Precision: 0.482
- Micro Precision: 0.642
- Weighted Precision: 0.595
- Macro Recall: 0.468
- Micro Recall: 0.642
- Weighted Recall: 0.642