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															+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. 
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															+# 
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															+# Licensed under the Apache License, Version 2.0 (the "License"); 
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															+# you may not use this file except in compliance with the License. 
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															+# You may obtain a copy of the License at 
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															+# 
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															+#     http://www.apache.org/licenses/LICENSE-2.0 
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															+# 
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															+# Unless required by applicable law or agreed to in writing, software 
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															+# distributed under the License is distributed on an "AS IS" BASIS, 
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															+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 
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															+# See the License for the specific language governing permissions and 
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															+# limitations under the License. 
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															+runner: 
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															+  train_data_dir: "data/train" 
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															+  train_reader_path: "bq_reader_train"  # importlib format 
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															+  train_batch_size: 8 
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															+  model_save_path: "output_model_dssm_debug" 
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															+  reader_type: "QueueDataset"  # DataLoader / QueueDataset / RecDataset 
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															+  pipe_command: "python bq_reader_train_ps.py" 
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															+  thread_num: 1 
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															+  sync_mode: "async" 
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															+  use_gpu: False 
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															+  epochs: 5 
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															+  print_interval: 1 
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															+   
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															+  test_data_dir: "data/test" 
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															+  infer_reader_path: "bq_reader_infer"  # importlib format 
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															+  infer_batch_size: 1 
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															+  infer_load_path: "output_model_dssm" 
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															+  infer_start_epoch: 0 
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															+  infer_end_epoch: 1 
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															+  infer_reader_type: "QueueDataset" 
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															+hyper_parameters: 
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															+  optimizer: 
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															+    class: adam 
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															+    learning_rate: 0.001 
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															+    strategy: sync 
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															+  trigram_d: 2900 
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															+  neg_num: 1 
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															+  is_infer: True 
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															+  slice_end: 8 
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															+  fc_sizes: [300, 300, 128] 
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															+  fc_acts: ['relu', 'relu', 'relu'] 
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