program: train.py
method: bayes
project: Zhuo-collab-SPOTER-Sweep
metric:
  name: best-accuracy
  goal: maximize
parameters:
  augmentations_probability:
    min: 0.20
    max: 0.75
  rotate_angle:
    min: 5
    max: 20
  perspective_transform_ratio:
    min: 0.05
    max: 0.2
  squeeze_ratio:
    min: 0.05
    max: 0.4
  arm_joint_rotate_angle:
    min: 1
    max: 10
  arm_joint_rotate_probability:
    min: 0.2
    max: 0.5
command:
  - python3
  - "-m"
  - train
  - "--epochs"
  - 130
  -  "--num_classes"
  - 100
  - "--lr"
  - 0.001
  - "--experiment_name"
  - "zhuo-repro"
  - "--training_set_path"
  - "/storage/plzen4-ntis/home/mbohacek/spoter-zhuo/WLASL100_zhuo_train.csv"
  - "--testing_set_path"
  - "/storage/plzen4-ntis/home/mbohacek/spoter-zhuo/WLASL100_zhuo_test.csv"
  - "--validation_set_path"
  - "/storage/plzen4-ntis/home/mbohacek/spoter-zhuo/WLASL100_zhuo_val.csv"
  - "--validation_set"
  - "from-file"
  - "--wandb_key"
  - "beb8925bb5b17aaecd40139da4c299f76753291e"
  - "--wandb_entity"
  - "matyasbohacek"
  - ${args}