method: grid
metric:
  goal: maximize
  name: validauc
parameters:
  RNN1type:
    values:
      - GRU
  RNN2type:
    values:
      - GRU
  d_model:
    values:
      - 256
  dataset_name:
    values:
      - assist2009
  dropout:
    values:
      - 0.2
      - 0.5
  final_fc_zoom:
    values:
      - 2
  fold:
    values:
      - 0
      - 1
      - 2
      - 3
      - 4
  learning_rate:
    values:
      - 0.0001
  n_layer:
    values:
      - 1
      - 2
  ratio:
    values:
      - 0.3
      - 0.4
  save_dir:
    values:
      - saved_model_assist2009
  seed:
    values:
      - 42
      - 2024
program: sweep_ExerCAKT_train.py