|
--- |
|
tags: |
|
- autotrain |
|
- vision |
|
- image-classification |
|
datasets: |
|
- galbitang/autotrain-data-lamp_1021 |
|
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: 2.477378686786967 |
|
--- |
|
|
|
# Model Trained Using AutoTrain |
|
|
|
- Problem type: Multi-class Classification |
|
- Model ID: 96396146650 |
|
- CO2 Emissions (in grams): 2.4774 |
|
|
|
## Validation Metrics |
|
|
|
- Loss: 0.402 |
|
- Accuracy: 0.881 |
|
- Macro F1: 0.805 |
|
- Micro F1: 0.881 |
|
- Weighted F1: 0.873 |
|
- Macro Precision: 0.884 |
|
- Micro Precision: 0.881 |
|
- Weighted Precision: 0.881 |
|
- Macro Recall: 0.764 |
|
- Micro Recall: 0.881 |
|
- Weighted Recall: 0.881 |
