| tags: | |
| - autotrain | |
| - image-classification | |
| base_model: microsoft/resnet-50 | |
| 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 | |
| # Model Trained Using AutoTrain | |
| - Problem type: Image Classification | |
| ## Validation Metrics | |
| loss: 3.142681837081909 | |
| f1_macro: 0.02830170335299915 | |
| f1_micro: 0.20643939393939395 | |
| f1_weighted: 0.09619191663674405 | |
| precision_macro: 0.03697093460585543 | |
| precision_micro: 0.20643939393939395 | |
| precision_weighted: 0.0998764466790715 | |
| recall_macro: 0.05223286714505793 | |
| recall_micro: 0.20643939393939395 | |
| recall_weighted: 0.20643939393939395 | |
| accuracy: 0.20643939393939395 | |