the current my solution is upload my config to s3, and the pipeline will download it and read it when execute. but its decrase flexiblity.

Hi @<1523701070390366208:profile|CostlyOstrich36> , thanks for response, sorry for late replay,

this is my configuration in yaml, i facing difficulty when there is params in list. somehow, form to display bunch list not easy to see. do you have suggestion? Thanks!

download-data:
  dataset_train:
  - 

  - 

  - 

  dataset_test:
  - 

  - 

  - 

train:
  data:
    batch: 4
    input_size: 224
    split:
      test: 0.2
      train: 0.8
      val: 0.0
  model:
    architecture: efficientnet_b0
    checkpoint_model: ''
    dropout: 0.0
    pretrained: true
    resume: false
  params:
    base_learning_rate: 0.1
    epoch: 3
    lr_scheduler: reduce_on_plateau
    lr_step_size: 3
    opt_momentum: 0.9
    opt_name: SGD
    opt_weight_decay: 0
    precision: 16
report:
  webhook: url
  level: info

How does your configuration look like?

i feel pain to make it as form if so much varible want to changes.