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parameters.yaml 368 B

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  1. seed: 42
  2. null_class_coef: 0.05
  3. num_classes: 1
  4. num_queries: ~
  5. batch_size: 8
  6. LR: 0.0001
  7. lr_dict:
  8. backbone: 0.1
  9. transformer: 1.
  10. embed: 1.
  11. epochs: 1
  12. max_norm: 0.1
  13. model_name: "detr_resnet50"
  14. dev: "cuda"
  15. weight_dict:
  16. loss_ce: 1
  17. loss_bbox: 5
  18. loss_giou: 2
  19. pre_trained: False
  20. from_scratch: False
  21. lr_drop: 200
  22. val_size: 0.15
  23. test_size: 0.1
  24. test_model: 'final_model'
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