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This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 100.4735 | 1.0 | 50 | 8.0297 |
| 4.369 | 2.0 | 100 | 2.7376 |
| 2.5518 | 3.0 | 150 | 2.1839 |
| 2.2226 | 4.0 | 200 | 1.9228 |
| 1.9906 | 5.0 | 250 | 1.7408 |
| 1.8219 | 6.0 | 300 | 1.5573 |
| 1.6974 | 7.0 | 350 | 1.4779 |
| 1.6027 | 8.0 | 400 | 1.4510 |
| 1.5517 | 9.0 | 450 | 1.3711 |
| 1.4491 | 10.0 | 500 | 1.3177 |
| 1.4335 | 11.0 | 550 | 1.2811 |
| 1.3645 | 12.0 | 600 | 1.2475 |
| 1.3314 | 13.0 | 650 | 1.2060 |
| 1.2973 | 14.0 | 700 | 1.1874 |
| 1.2506 | 15.0 | 750 | 1.1794 |
| 1.2319 | 16.0 | 800 | 1.1657 |
| 1.1479 | 17.0 | 850 | 1.1300 |
| 1.1466 | 18.0 | 900 | 1.1179 |
| 1.1138 | 19.0 | 950 | 1.1095 |
| 1.1153 | 20.0 | 1000 | 1.0961 |
| 1.0894 | 21.0 | 1050 | 1.0790 |
| 1.0691 | 22.0 | 1100 | 1.0870 |
| 1.0619 | 23.0 | 1150 | 1.0804 |
| 1.0459 | 24.0 | 1200 | 1.0717 |
| 1.0363 | 25.0 | 1250 | 1.0704 |
microsoft/conditional-detr-resnet-50