config_bigdata.yaml

# Copyright (c) 2022 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
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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runner:
  train_data_dir: "../../../datasets/Lookalike/train_data"
  train_reader_path: "reader_train" # importlib format
  use_gpu: True
  use_auc: True
#   train_batch_size: 32
  epochs: 1
  print_interval: 100
  model_save_path: "output_model_metaheac_all"
  test_data_dir: "../../../datasets/Lookalike/test_hot_data"
#   test_data_dir: "../../../datasets/Lookalike/test_cold_data"
#   infer_batch_size: 32
  infer_reader_path: "reader_infer" # importlib format
  infer_load_path: "output_model_metaheac_all"
  infer_start_epoch: 0
  infer_end_epoch: 1
  #use inference save model
  use_inference: False
  infer_train_epoch: 2
  seed: 2021

hyper_parameters:
  max_idxs: [[3, 2, 855, 5, 7, 2, 1], [124, 82, 12, 263312, 49780, 10002, 9984], [78, 137, 14, 39,32,3]]
  embed_dim: 64
  mlp_dims: [64, 64]
  local_lr: 0.0002
  num_expert: 8
  num_output: 5
  task_count: 5
  batch_size: 1024

  optimizer:
    class: adam
    global_learning_rate: 0.001
    local_test_learning_rate: 0.001
    strategy: async