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sweep.yaml 627 B

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  1. program: run.py
  2. method: grid #bayes
  3. command:
  4. - ${env}
  5. - ${interpreter}
  6. - ${program}
  7. - ${args_no_hyphens}
  8. metric:
  9. name: val/dice
  10. goal: maximize
  11. parameters:
  12. # train.learning_rate:
  13. # distribution: log_uniform
  14. # min: -11
  15. # max: -6
  16. model.network_conf.architecture:
  17. distribution: categorical
  18. values:
  19. - "unet"
  20. - "unet++"
  21. - "resunet"
  22. - "resunet++"
  23. - "efficientunet++"
  24. model.network_conf.encoder_name:
  25. distribution: categorical
  26. values:
  27. - "resnet34"
  28. #- "resnet50"
  29. - "efficientnet-b5"
  30. #- "efficientnet-b6"
  31. #- "efficientnet-b7"
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