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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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IoU metric: bbox |
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Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000 |
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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 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 |
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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 ] = 0.000 |
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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 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.000 |
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Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.000 |
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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 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.000 |
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Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.000 |
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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 ] = 0.000 |
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``` |
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## Config |
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- dataset: NIH |
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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: 7 |
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## Logging |
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### Training process |
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``` |
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{'validation_loss': tensor(7.8884), 'validation_loss_ce': tensor(3.2805), 'validation_loss_bbox': tensor(0.4682), 'validation_loss_giou': tensor(1.1333), 'validation_cardinality_error': tensor(99.4286)} |
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{'training_loss': tensor(7.8884), 'train_loss_ce': tensor(3.2805), 'train_loss_bbox': tensor(0.4682), 'train_loss_giou': tensor(1.1333), 'train_cardinality_error': tensor(99.4286), 'validation_loss': tensor(6.6633), 'validation_loss_ce': tensor(2.8980), 'validation_loss_bbox': tensor(0.3610), 'validation_loss_giou': tensor(0.9802), 'validation_cardinality_error': tensor(99.4286)} |
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``` |
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## Examples |
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{'size': tensor([512, 512]), 'image_id': tensor([28719]), 'class_labels': tensor([], dtype=torch.int64), 'boxes': tensor([], size=(0, 4)), 'area': tensor([]), 'iscrowd': tensor([], dtype=torch.int64), 'orig_size': tensor([3072, 3072])} |
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