update deepfm network.

pull/7055/head
linqingke 5 years ago
parent ca90924fa4
commit 3ac12129a6

@ -1,62 +1,55 @@
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""
network config setting, will be used in train.py and eval.py
"""
class DataConfig:
"""
Define parameters of dataset.
"""
data_vocab_size = 184965
train_num_of_parts = 21
test_num_of_parts = 3
batch_size = 1000
data_field_size = 39
# dataset format, 1: mindrecord, 2: tfrecord, 3: h5
data_format = 2
class ModelConfig:
"""
Define parameters of model.
"""
batch_size = DataConfig.batch_size
data_field_size = DataConfig.data_field_size
data_vocab_size = DataConfig.data_vocab_size
data_emb_dim = 80
deep_layer_args = [[400, 400, 512], "relu"]
init_args = [-0.01, 0.01]
weight_bias_init = ['normal', 'normal']
keep_prob = 0.9
class TrainConfig:
"""
Define parameters of training.
"""
batch_size = DataConfig.batch_size
l2_coef = 1e-6
learning_rate = 1e-5
epsilon = 1e-8
loss_scale = 1024.0
train_epochs = 15
save_checkpoint = True
ckpt_file_name_prefix = "deepfm"
save_checkpoint_steps = 1
keep_checkpoint_max = 15
eval_callback = True
loss_callback = True
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
"""
network config setting, will be used in train.py and eval.py
"""
class DataConfig:
"""data config"""
data_vocab_size = 184965
train_num_of_parts = 21
test_num_of_parts = 3
batch_size = 16000
data_field_size = 39
data_format = 2
class ModelConfig:
"""model config"""
batch_size = DataConfig.batch_size
data_field_size = DataConfig.data_field_size
data_vocab_size = DataConfig.data_vocab_size
data_emb_dim = 80
deep_layer_args = [[1024, 512, 256, 128], "relu"]
init_args = [-0.01, 0.01]
weight_bias_init = ['normal', 'normal']
keep_prob = 0.9
class TrainConfig:
"""train config"""
batch_size = DataConfig.batch_size
l2_coef = 8e-5
learning_rate = 5e-4
epsilon = 5e-8
loss_scale = 1024.0
train_epochs = 5
save_checkpoint = True
ckpt_file_name_prefix = "deepfm"
save_checkpoint_steps = 1
keep_checkpoint_max = 50
eval_callback = True
loss_callback = True

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