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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ 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 the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3354
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  ## Model description
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@@ -50,19 +50,22 @@ 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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- | 1.1319 | 1.0 | 2644 | 1.3800 |
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- | 1.009 | 2.0 | 5288 | 1.4998 |
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- | 0.9009 | 3.0 | 7932 | 1.4437 |
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- | 0.8777 | 4.0 | 10576 | 1.3487 |
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- | 0.8221 | 5.0 | 13220 | 1.3052 |
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- | 0.7792 | 6.0 | 15864 | 1.3933 |
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- | 0.755 | 7.0 | 18508 | 1.4144 |
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- | 0.7455 | 8.0 | 21152 | 1.2465 |
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- | 0.7103 | 9.0 | 23796 | 1.4545 |
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- | 0.6902 | 10.0 | 26440 | 1.4291 |
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- | 0.6511 | 11.0 | 29084 | 1.4216 |
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- | 0.6434 | 12.0 | 31728 | 1.3471 |
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- | 0.6373 | 13.0 | 34372 | 1.3354 |
 
 
 
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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 the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4142
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.1217 | 1.0 | 2644 | 1.4738 |
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+ | 0.9689 | 2.0 | 5288 | 1.4067 |
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+ | 0.9194 | 3.0 | 7932 | 1.3879 |
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+ | 0.8369 | 4.0 | 10576 | 1.3840 |
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+ | 0.8061 | 5.0 | 13220 | 1.4551 |
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+ | 0.7761 | 6.0 | 15864 | 1.4041 |
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+ | 0.7278 | 7.0 | 18508 | 1.3229 |
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+ | 0.7241 | 8.0 | 21152 | 1.4653 |
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+ | 0.7117 | 9.0 | 23796 | 1.3242 |
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+ | 0.6811 | 10.0 | 26440 | 1.3248 |
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+ | 0.6471 | 11.0 | 29084 | 1.3078 |
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+ | 0.6293 | 12.0 | 31728 | 1.3126 |
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+ | 0.638 | 13.0 | 34372 | 1.3298 |
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+ | 0.6134 | 14.0 | 37016 | 1.3913 |
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+ | 0.5773 | 15.0 | 39660 | 1.3278 |
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+ | 0.5653 | 16.0 | 42304 | 1.4142 |
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  ### Framework versions
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