Commit
·
d7d58c1
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Parent(s):
43a197a
End of training
Browse files- README.md +104 -54
- model.safetensors +1 -1
- trainer_state.json +761 -61
README.md
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@@ -15,7 +15,7 @@ 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: 2.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 5.4149 | 1.0 | 115
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| 3.9453 | 2.0 | 230
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| 3.7269 | 3.0 | 345
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| 3.5898 | 4.0 | 460
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| 3.486 | 5.0 | 575
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| 3.4073 | 6.0 | 690
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| 3.4181 | 7.0 | 805
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| 3.3603 | 8.0 | 920
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| 3.2777 | 9.0 | 1035
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| 3.2851 | 10.0 | 1150
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| 3.266 | 11.0 | 1265
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| 3.2803 | 12.0 | 1380
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| 3.1733 | 13.0 | 1495
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| 3.2094 | 14.0 | 1610
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| 3.1718 | 15.0 | 1725
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| 3.1303 | 16.0 | 1840
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| 3.0897 | 17.0 | 1955
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| 3.0233 | 18.0 | 2070
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| 3.0156 | 19.0 | 2185
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| 3.0277 | 20.0 | 2300
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| 3.0847 | 21.0 | 2415
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| 3.0333 | 22.0 | 2530
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| 3.0126 | 23.0 | 2645
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| 2.9968 | 24.0 | 2760
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| 3.0295 | 25.0 | 2875
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| 3.0294 | 26.0 | 2990
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| 3.0395 | 27.0 | 3105
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| 3.0445 | 28.0 | 3220
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| 2.9761 | 29.0 | 3335
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| 3.0075 | 30.0 | 3450
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| 3.0198 | 31.0 | 3565
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| 2.9782 | 32.0 | 3680
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| 2.9773 | 33.0 | 3795
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| 2.9528 | 34.0 | 3910
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| 2.9228 | 35.0 | 4025
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| 2.9221 | 36.0 | 4140
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| 2.8933 | 37.0 | 4255
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| 2.8925 | 38.0 | 4370
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| 2.9069 | 39.0 | 4485
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| 2.9246 | 40.0 | 4600
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| 2.9089 | 41.0 | 4715
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| 2.8573 | 42.0 | 4830
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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: 2.7389
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 5.4149 | 1.0 | 115 | 4.3974 |
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| 3.9453 | 2.0 | 230 | 3.6520 |
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| 3.7269 | 3.0 | 345 | 3.7602 |
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| 3.5898 | 4.0 | 460 | 3.5671 |
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| 3.486 | 5.0 | 575 | 3.4912 |
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| 3.4073 | 6.0 | 690 | 3.4095 |
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| 3.4181 | 7.0 | 805 | 3.3183 |
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| 3.3603 | 8.0 | 920 | 3.1111 |
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| 3.2777 | 9.0 | 1035 | 3.1992 |
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| 3.2851 | 10.0 | 1150 | 3.3997 |
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| 3.266 | 11.0 | 1265 | 3.2861 |
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| 3.2803 | 12.0 | 1380 | 3.1813 |
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| 3.1733 | 13.0 | 1495 | 2.9838 |
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| 3.2094 | 14.0 | 1610 | 3.1175 |
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| 3.1718 | 15.0 | 1725 | 3.0064 |
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| 3.1303 | 16.0 | 1840 | 3.0869 |
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| 3.0897 | 17.0 | 1955 | 3.0306 |
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| 3.0233 | 18.0 | 2070 | 2.9479 |
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| 3.0156 | 19.0 | 2185 | 2.9145 |
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| 3.0277 | 20.0 | 2300 | 2.8919 |
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| 3.0847 | 21.0 | 2415 | 2.9321 |
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| 3.0333 | 22.0 | 2530 | 2.9128 |
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| 3.0126 | 23.0 | 2645 | 2.8627 |
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| 2.9968 | 24.0 | 2760 | 3.0186 |
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| 3.0295 | 25.0 | 2875 | 3.0148 |
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| 3.0294 | 26.0 | 2990 | 3.0341 |
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| 3.0395 | 27.0 | 3105 | 2.9997 |
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| 3.0445 | 28.0 | 3220 | 3.0575 |
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| 2.9761 | 29.0 | 3335 | 2.9707 |
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| 3.0075 | 30.0 | 3450 | 2.9392 |
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| 3.0198 | 31.0 | 3565 | 2.9122 |
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| 2.9782 | 32.0 | 3680 | 2.9471 |
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| 2.9773 | 33.0 | 3795 | 3.0306 |
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| 2.9528 | 34.0 | 3910 | 2.8513 |
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| 2.9228 | 35.0 | 4025 | 2.8997 |
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| 2.9221 | 36.0 | 4140 | 2.8646 |
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| 2.8933 | 37.0 | 4255 | 2.8871 |
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| 2.8925 | 38.0 | 4370 | 2.9407 |
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| 2.9069 | 39.0 | 4485 | 2.9625 |
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| 2.9246 | 40.0 | 4600 | 2.9946 |
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| 2.9089 | 41.0 | 4715 | 2.8936 |
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| 2.8573 | 42.0 | 4830 | 2.8272 |
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| 2.8768 | 43.0 | 4945 | 2.9868 |
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| 2.9666 | 44.0 | 5060 | 2.9200 |
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| 2.958 | 45.0 | 5175 | 2.8755 |
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| 2.8923 | 46.0 | 5290 | 2.8518 |
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| 2.9204 | 47.0 | 5405 | 2.9000 |
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| 2.9644 | 48.0 | 5520 | 2.8969 |
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| 2.9011 | 49.0 | 5635 | 2.7918 |
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| 2.9329 | 50.0 | 5750 | 2.9139 |
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| 2.9031 | 51.0 | 5865 | 2.7796 |
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| 2.9029 | 52.0 | 5980 | 2.8025 |
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| 2.9555 | 53.0 | 6095 | 2.9121 |
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| 2.9366 | 54.0 | 6210 | 2.9035 |
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| 2.8871 | 55.0 | 6325 | 2.8759 |
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| 2.863 | 56.0 | 6440 | 2.8540 |
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| 2.8897 | 57.0 | 6555 | 2.8401 |
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| 2.828 | 58.0 | 6670 | 2.8590 |
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| 2.8221 | 59.0 | 6785 | 2.9255 |
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| 2.835 | 60.0 | 6900 | 2.9809 |
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| 2.886 | 61.0 | 7015 | 2.9907 |
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| 2.8227 | 62.0 | 7130 | 2.8283 |
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| 2.7864 | 63.0 | 7245 | 2.8258 |
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| 2.8179 | 64.0 | 7360 | 2.9504 |
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| 2.7944 | 65.0 | 7475 | 2.8042 |
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| 2.7986 | 66.0 | 7590 | 2.8307 |
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| 2.7567 | 67.0 | 7705 | 2.8060 |
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| 2.7552 | 68.0 | 7820 | 2.7994 |
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| 2.7933 | 69.0 | 7935 | 2.8493 |
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| 2.7393 | 70.0 | 8050 | 2.8409 |
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| 2.7357 | 71.0 | 8165 | 2.8086 |
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| 2.7264 | 72.0 | 8280 | 2.7773 |
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| 2.7614 | 73.0 | 8395 | 2.8937 |
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| 2.7279 | 74.0 | 8510 | 2.8887 |
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| 2.745 | 75.0 | 8625 | 2.8274 |
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| 2.7225 | 76.0 | 8740 | 2.7971 |
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| 2.7094 | 77.0 | 8855 | 2.8685 |
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| 2.7306 | 78.0 | 8970 | 2.8482 |
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| 2.6844 | 79.0 | 9085 | 2.7372 |
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| 2.6949 | 80.0 | 9200 | 2.8149 |
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| 2.7342 | 81.0 | 9315 | 2.7647 |
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| 2.6813 | 82.0 | 9430 | 2.7666 |
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| 2.7161 | 83.0 | 9545 | 2.8437 |
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| 2.6953 | 84.0 | 9660 | 2.7895 |
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| 2.6714 | 85.0 | 9775 | 2.7683 |
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| 2.6611 | 86.0 | 9890 | 2.7004 |
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| 2.6714 | 87.0 | 10005 | 2.7183 |
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| 2.6655 | 88.0 | 10120 | 2.7043 |
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| 2.6509 | 89.0 | 10235 | 2.7705 |
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| 2.6266 | 90.0 | 10350 | 2.7152 |
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| 2.6188 | 96.0 | 11040 | 2.7614 |
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| 2.6028 | 97.0 | 11155 | 2.7405 |
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| 2.61 | 99.0 | 11385 | 2.7415 |
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| 2.6164 | 100.0 | 11500 | 2.7389 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 173870884
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c1866f4d599d39ba0fe76d52a1a7dcf979852ecd271dca7cd00adff8579d689
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size 173870884
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trainer_state.json
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{
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"best_metric": 2.
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"best_model_checkpoint": "cdetr-mist1-brain-gt-tumors-8ah-6l/checkpoint-
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"epoch":
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"epoch": 43.0,
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