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--- |
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library_name: transformers |
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tags: [] |
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--- |
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## Original result |
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``` |
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Not provided |
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``` |
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## After training result |
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``` |
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IoU metric: bbox |
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.006 |
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.012 |
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.006 |
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Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.006 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.037 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.064 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.072 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.074 |
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``` |
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## Config |
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- dataset: VinXray |
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- original model: hustvl/yolos-tiny |
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- lr: 0.0001 |
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- dropout_rate: 0.1 |
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- weight_decay: 0.0001 |
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- max_epochs: 1 |
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- train samples: 67234 |
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## Logging |
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### Training process |
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``` |
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{'validation_loss': tensor(8.3678, device='cuda:0'), 'validation_loss_ce': tensor(3.2526, device='cuda:0'), 'validation_loss_bbox': tensor(0.5756, device='cuda:0'), 'validation_loss_giou': tensor(1.1184, device='cuda:0'), 'validation_cardinality_error': tensor(99.5938, device='cuda:0')} |
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{'training_loss': tensor(1.3440, device='cuda:0'), 'train_loss_ce': tensor(0.2790, device='cuda:0'), 'train_loss_bbox': tensor(0.0702, device='cuda:0'), 'train_loss_giou': tensor(0.3571, device='cuda:0'), 'train_cardinality_error': tensor(0.6471, device='cuda:0'), 'validation_loss': tensor(1.6742, device='cuda:0'), 'validation_loss_ce': tensor(0.2339, device='cuda:0'), 'validation_loss_bbox': tensor(0.0976, device='cuda:0'), 'validation_loss_giou': tensor(0.4762, device='cuda:0'), 'validation_cardinality_error': tensor(0.5294, device='cuda:0')} |
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``` |
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## Examples |
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{'size': tensor([560, 512]), 'image_id': tensor([1]), 'class_labels': tensor([], dtype=torch.int64), 'boxes': tensor([], size=(0, 4)), 'area': tensor([]), 'iscrowd': tensor([], dtype=torch.int64), 'orig_size': tensor([2580, 2332])} |
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