| --- |
| tags: |
| - autotrain |
| - vision |
| - image-classification |
| datasets: |
| - Ailyth/autotrain-data-3lables |
| 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: 2.650072914067399 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Multi-class Classification |
| - Model ID: 3341092265 |
| - CO2 Emissions (in grams): 2.6501 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 0.133 |
| - Accuracy: 0.950 |
| - Macro F1: 0.951 |
| - Micro F1: 0.950 |
| - Weighted F1: 0.950 |
| - Macro Precision: 0.951 |
| - Micro Precision: 0.950 |
| - Weighted Precision: 0.950 |
| - Macro Recall: 0.951 |
| - Micro Recall: 0.950 |
| - Weighted Recall: 0.950 |
