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cppe5_setup_on_roadsign_test

Object Detection
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Safetensors
conditional_detr
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  1. README.md +31 -31
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7737
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  ## Model description
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@@ -47,36 +47,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 35 | 3.7723 |
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- | No log | 2.0 | 70 | 1.9201 |
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- | No log | 3.0 | 105 | 1.4291 |
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- | No log | 4.0 | 140 | 1.3266 |
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- | No log | 5.0 | 175 | 1.2345 |
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- | No log | 6.0 | 210 | 1.0995 |
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- | No log | 7.0 | 245 | 1.0747 |
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- | No log | 8.0 | 280 | 1.0331 |
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- | No log | 9.0 | 315 | 0.9756 |
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- | No log | 10.0 | 350 | 0.9451 |
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- | No log | 11.0 | 385 | 0.8785 |
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- | No log | 12.0 | 420 | 0.8856 |
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- | No log | 13.0 | 455 | 0.8277 |
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- | No log | 14.0 | 490 | 0.8373 |
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- | 3.9603 | 15.0 | 525 | 0.8116 |
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- | 3.9603 | 16.0 | 560 | 0.8188 |
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- | 3.9603 | 17.0 | 595 | 0.8119 |
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- | 3.9603 | 18.0 | 630 | 0.7920 |
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- | 3.9603 | 19.0 | 665 | 0.7772 |
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- | 3.9603 | 20.0 | 700 | 0.7651 |
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- | 3.9603 | 21.0 | 735 | 0.7721 |
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- | 3.9603 | 22.0 | 770 | 0.7944 |
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- | 3.9603 | 23.0 | 805 | 0.7888 |
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- | 3.9603 | 24.0 | 840 | 0.7523 |
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- | 3.9603 | 25.0 | 875 | 0.7697 |
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- | 3.9603 | 26.0 | 910 | 0.7568 |
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- | 3.9603 | 27.0 | 945 | 0.7680 |
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- | 3.9603 | 28.0 | 980 | 0.7712 |
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- | 0.7588 | 29.0 | 1015 | 0.7740 |
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- | 0.7588 | 30.0 | 1050 | 0.7737 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4669
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 107 | 2.1197 |
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+ | No log | 2.0 | 214 | 2.1379 |
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+ | No log | 3.0 | 321 | 1.9321 |
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+ | No log | 4.0 | 428 | 1.8901 |
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+ | 2.718 | 5.0 | 535 | 1.8736 |
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+ | 2.718 | 6.0 | 642 | 1.8040 |
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+ | 2.718 | 7.0 | 749 | 1.7457 |
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+ | 2.718 | 8.0 | 856 | 1.7353 |
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+ | 2.718 | 9.0 | 963 | 1.7223 |
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+ | 1.6615 | 10.0 | 1070 | 1.6739 |
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+ | 1.6615 | 11.0 | 1177 | 1.7112 |
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+ | 1.6615 | 12.0 | 1284 | 1.6121 |
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+ | 1.6615 | 13.0 | 1391 | 1.6118 |
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+ | 1.6615 | 14.0 | 1498 | 1.5623 |
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+ | 1.5122 | 15.0 | 1605 | 1.5774 |
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+ | 1.5122 | 16.0 | 1712 | 1.5583 |
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+ | 1.5122 | 17.0 | 1819 | 1.5591 |
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+ | 1.5122 | 18.0 | 1926 | 1.5253 |
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+ | 1.4095 | 19.0 | 2033 | 1.5523 |
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+ | 1.4095 | 20.0 | 2140 | 1.5213 |
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+ | 1.4095 | 21.0 | 2247 | 1.5017 |
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+ | 1.4095 | 22.0 | 2354 | 1.5023 |
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+ | 1.4095 | 23.0 | 2461 | 1.4772 |
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+ | 1.3312 | 24.0 | 2568 | 1.4792 |
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+ | 1.3312 | 25.0 | 2675 | 1.4729 |
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+ | 1.3312 | 26.0 | 2782 | 1.4712 |
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+ | 1.3312 | 27.0 | 2889 | 1.4693 |
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+ | 1.3312 | 28.0 | 2996 | 1.4683 |
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+ | 1.2782 | 29.0 | 3103 | 1.4671 |
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+ | 1.2782 | 30.0 | 3210 | 1.4669 |
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  ### Framework versions