config.yaml

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.


runner:
  train_data_dir: "data/train"
  train_reader_path: "esmm_reader" # importlib format
  use_gpu: False
  use_auc: True
  auc_num: 2
  train_batch_size: 2
  epochs: 3
  print_interval: 2
  #model_init_path: "output_model_esmm/2" # init model
  model_save_path: "output_model_esmm"
  test_data_dir: "data/train"
  infer_batch_size: 2
  infer_reader_path: "esmm_reader" # importlib format
  infer_load_path: "output_model_esmm"
  infer_start_epoch: 0
  infer_end_epoch: 3
  #use inference save model
  use_inference: False
  save_inference_feed_varnames: ["field_0", "field_1", "field_2", "field_3", "field_4", "field_5", "field_6", "field_7", "field_8", "field_9", "field_10", "field_11", "field_12", "field_13", "field_14", "field_15", "field_16", "field_17", "field_18", "field_19", "field_20", "field_21", "field_22"]
  save_inference_fetch_varnames: ["softmax_0.tmp_0", "concat_1.tmp_0"]

hyper_parameters:
  sparse_feature_number: 737946
  sparse_feature_dim: 12
  num_field: 23
  ctr_fc_sizes: [256, 64]
  cvr_fc_sizes: [256, 64]
  optimizer:
    class: adam
    learning_rate: 0.001
    strategy: async