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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 ] = 0.016 |
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.004 |
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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 ] = 0.041 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.077 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.083 |
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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 ] = 0.085 |
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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(7.8284, device='cuda:1'), 'validation_loss_ce': tensor(2.7671, device='cuda:1'), 'validation_loss_bbox': tensor(0.5730, device='cuda:1'), 'validation_loss_giou': tensor(1.0983, device='cuda:1'), 'validation_cardinality_error': tensor(98.8125, device='cuda:1')} |
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{'training_loss': tensor(1.3821, device='cuda:1'), 'train_loss_ce': tensor(0.1972, device='cuda:1'), 'train_loss_bbox': tensor(0.0681, device='cuda:1'), 'train_loss_giou': tensor(0.4223, device='cuda:1'), 'train_cardinality_error': tensor(0.4118, device='cuda:1'), 'validation_loss': tensor(1.6166, device='cuda:1'), 'validation_loss_ce': tensor(0.2388, device='cuda:1'), 'validation_loss_bbox': tensor(0.0936, device='cuda:1'), 'validation_loss_giou': tensor(0.4548, device='cuda:1'), 'validation_cardinality_error': tensor(0.5118, device='cuda:1')} |
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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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