ray_multiseed

# Ray Tune configuration
ray:
  num_samples: 5
  resources_per_trial:
    GPU: 1

# choose metric which will be optimized by Ray Tune
optimized_metric: "val/loss"
direction: "min"

# Define the search space
search_space:
  seed:
    _target_: ray.tune.randint
    lower: 0
    upper: 10000

scheduler: null

# Choose between train and finetune
train_fn: ${name}