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End of training

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README.md CHANGED
@@ -17,6 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # fisheye8k_microsoft_conditional-detr-resnet-50
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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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  ## Model description
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@@ -41,14 +43,20 @@ The following hyperparameters were used during training:
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  - seed: 0
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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- - num_epochs: 1
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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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- | No log | 1.0 | 68 | 2.2581 |
 
 
 
 
 
 
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  ### Framework versions
 
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  # fisheye8k_microsoft_conditional-detr-resnet-50
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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: 1.4379
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  ## Model description
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  - seed: 0
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - num_epochs: 36
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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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+ | 1.0059 | 1.0 | 5288 | 1.4506 |
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+ | 0.9022 | 2.0 | 10576 | 1.3697 |
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+ | 0.8475 | 3.0 | 15864 | 1.4314 |
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+ | 0.8099 | 4.0 | 21152 | 1.4027 |
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+ | 0.7604 | 5.0 | 26440 | 1.3805 |
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+ | 0.7556 | 6.0 | 31728 | 1.4091 |
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+ | 0.709 | 7.0 | 37016 | 1.4379 |
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  ### Framework versions
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