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-program: training/run_sweep.py
-method: bayes
-metric:
- name: val_accuracy
- goal: maximize
-parameters:
- dataset:
- value: EmnistDataset
- model:
- value: CharacterModel
- network:
- value: ResidualNetwork
- network_args.block_sizes:
- distribution: q_uniform
- min: 16
- max: 256
- q: 8
- network_args.depths:
- distribution: int_uniform
- min: 1
- max: 3
- network_args.levels:
- distribution: int_uniform
- min: 1
- max: 2
- network_args.activation:
- distribution: categorical
- values:
- - gelu
- - leaky_relu
- - relu
- - selu
- optimizer_args.lr:
- distribution: uniform
- min: 1.e-5
- max: 1.e-1
- lr_scheduler_args.max_lr:
- distribution: uniform
- min: 1.e-5
- max: 1.e-1
- train_args.batch_size:
- distribution: q_uniform
- min: 32
- max: 256
- q: 8
- train_args.epochs:
- value: 5
-early_terminate:
- type: hyperband
- min_iter: 2