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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}
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