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config_bigdata.yaml
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# 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
#
# 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: "../../../datasets/KDD2012_track2/train"
train_reader_path: "dpin_reader" # importlib format
use_gpu: True
use_auc: True
train_batch_size: 1024
epochs: 20
print_interval: 1000
#model_init_path: "output_model_all_dpin/0" # init model
model_save_path: "output_model_all_dpin"
infer_batch_size: 1024
infer_reader_path: "dpin_reader" # importlib format
test_data_dir: "../../../datasets/KDD2012_track2/test"
infer_load_path: "output_model_all_dpin"
infer_start_epoch: 0
infer_end_epoch: 20
# hyper parameters of user-defined network
hyper_parameters:
is_sparse: True
embedding_dim: 8 # Embedding dimension
K: 3 # the number of position
L: 10
max_item: 455565
max_context: 14616
d_model: 64
h: 2
optimizer:
class: sgd
learning_rate: 0.05
strategy: async