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README.md
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 0.54 | 1000 |
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### Framework versions
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3494
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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 | 0.54 | 1000 | 0.4810 |
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| 0.5325 | 1.08 | 2000 | 0.4812 |
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| 0.5325 | 1.62 | 3000 | 0.4739 |
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| 0.5322 | 2.16 | 4000 | 0.4759 |
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| 0.5322 | 2.7 | 5000 | 0.4818 |
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| 0.5259 | 3.24 | 6000 | 0.4522 |
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| 0.5259 | 3.78 | 7000 | 0.4632 |
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| 0.5167 | 4.32 | 8000 | 0.4628 |
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| 0.5167 | 4.86 | 9000 | 0.4345 |
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| 0.5076 | 5.4 | 10000 | 0.4563 |
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| 0.5076 | 5.94 | 11000 | 0.4326 |
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| 0.494 | 6.48 | 12000 | 0.4424 |
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| 0.4906 | 7.02 | 13000 | 0.4272 |
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| 0.4906 | 7.56 | 14000 | 0.4164 |
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| 0.4801 | 8.1 | 15000 | 0.4213 |
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| 0.4801 | 8.64 | 16000 | 0.4320 |
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| 0.4699 | 9.18 | 17000 | 0.4100 |
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| 0.4699 | 9.72 | 18000 | 0.4127 |
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| 0.4613 | 10.26 | 19000 | 0.4035 |
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| 0.4613 | 10.8 | 20000 | 0.4039 |
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| 0.4556 | 11.34 | 21000 | 0.4149 |
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| 0.4556 | 11.88 | 22000 | 0.4092 |
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| 0.4475 | 12.42 | 23000 | 0.3965 |
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| 0.4475 | 12.96 | 24000 | 0.3973 |
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| 0.4389 | 13.5 | 25000 | 0.4013 |
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| 0.4349 | 14.04 | 26000 | 0.3797 |
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| 0.4349 | 14.58 | 27000 | 0.3728 |
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| 0.4288 | 15.12 | 28000 | 0.3834 |
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| 0.4288 | 15.66 | 29000 | 0.3885 |
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| 0.4222 | 16.2 | 30000 | 0.3820 |
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| 0.4222 | 16.74 | 31000 | 0.3755 |
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| 0.4152 | 17.28 | 32000 | 0.3693 |
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| 0.4152 | 17.82 | 33000 | 0.3679 |
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| 0.4122 | 18.36 | 34000 | 0.3605 |
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| 0.4122 | 18.9 | 35000 | 0.3625 |
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| 0.4077 | 19.44 | 36000 | 0.3631 |
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| 0.4077 | 19.98 | 37000 | 0.3607 |
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| 0.4 | 20.52 | 38000 | 0.3615 |
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| 0.3972 | 21.06 | 39000 | 0.3561 |
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| 0.3972 | 21.6 | 40000 | 0.3594 |
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| 0.3953 | 22.14 | 41000 | 0.3554 |
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| 0.3953 | 22.68 | 42000 | 0.3515 |
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| 0.3903 | 23.22 | 43000 | 0.3539 |
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| 0.3903 | 23.76 | 44000 | 0.3500 |
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| 0.3878 | 24.3 | 45000 | 0.3489 |
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| 0.3878 | 24.84 | 46000 | 0.3494 |
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### Framework versions
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