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sweep.yaml 659 B

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  1. program: train.py
  2. method: bayes
  3. command:
  4. - ${env}
  5. - ${interpreter}
  6. - ${program}
  7. - ${args_no_hyphens}
  8. metric:
  9. name: val_loss
  10. goal: minimize
  11. parameters:
  12. data.train_dataloader_conf.batch_size:
  13. distribution: int_uniform
  14. min: 2
  15. max: 8
  16. train.learning_rate:
  17. distribution: log_uniform
  18. min: -10
  19. max: -3
  20. network.network_conf.num_layers:
  21. distribution: int_uniform
  22. min: 2
  23. max: 6
  24. network.network_conf.features_start:
  25. distribution: categorical
  26. values:
  27. - 8
  28. - 16
  29. - 32
  30. - 64
  31. - 128
  32. network.network_conf.bilinear:
  33. distribution: categorical
  34. values:
  35. - True
  36. - False
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