sweep.yaml

# Copyright 2022 Rahul Brahma
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

program: interface.py
method: bayes
metric:
  goal: minimize
  name: val_loss
parameters:
  # dropout:
  #   values: [0.15, 0.2, 0.25, 0.3, 0.4]
  # hidden_layer_size:
  #   values: [96, 128, 148]
  # layer_1_size:
  #   values: [10, 12, 14, 16, 18, 20]
  # layer_2_size:
  #   values: [24, 28, 32, 36, 40, 44]
  # learn_rate:
  #   values: [0.001, 0.01, 0.003]
  decay:
    values: [1e-5, 1e-6, 1e-7]
  momentum:
    values: [0.8, 0.9, 0.95]
  epochs:
    value: 10
early_terminate:
  type: hyperband
  s: 2
  eta: 3
  max_iter: 27