| --- |
| tags: |
| - autotrain |
| - vision |
| - image-classification |
| datasets: |
| - OttoYu/autotrain-data-tree-inspection |
| 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: 2.1481896644746374 |
| --- |
| |
| # Model Trained Using AutoTrain |
|
|
| - Problem type: Multi-class Classification |
| - Model ID: 87833143598 |
| - CO2 Emissions (in grams): 2.1482 |
|
|
| ## Validation Metrics |
|
|
| - Loss: 1.251 |
| - Accuracy: 0.652 |
| - Macro F1: 0.594 |
| - Micro F1: 0.652 |
| - Weighted F1: 0.620 |
| - Macro Precision: 0.629 |
| - Micro Precision: 0.652 |
| - Weighted Precision: 0.642 |
| - Macro Recall: 0.617 |
| - Micro Recall: 0.652 |
| - Weighted Recall: 0.652 |
