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@ -16,47 +16,40 @@
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network config setting, will be used in train.py and eval.py
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network config setting, will be used in train.py and eval.py
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"""
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"""
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class DataConfig:
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class DataConfig:
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"""
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"""data config"""
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Define parameters of dataset.
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"""
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data_vocab_size = 184965
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data_vocab_size = 184965
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train_num_of_parts = 21
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train_num_of_parts = 21
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test_num_of_parts = 3
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test_num_of_parts = 3
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batch_size = 1000
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batch_size = 16000
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data_field_size = 39
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data_field_size = 39
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# dataset format, 1: mindrecord, 2: tfrecord, 3: h5
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data_format = 2
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data_format = 2
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class ModelConfig:
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class ModelConfig:
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"""
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"""model config"""
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Define parameters of model.
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"""
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batch_size = DataConfig.batch_size
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batch_size = DataConfig.batch_size
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data_field_size = DataConfig.data_field_size
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data_field_size = DataConfig.data_field_size
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data_vocab_size = DataConfig.data_vocab_size
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data_vocab_size = DataConfig.data_vocab_size
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data_emb_dim = 80
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data_emb_dim = 80
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deep_layer_args = [[400, 400, 512], "relu"]
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deep_layer_args = [[1024, 512, 256, 128], "relu"]
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init_args = [-0.01, 0.01]
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init_args = [-0.01, 0.01]
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weight_bias_init = ['normal', 'normal']
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weight_bias_init = ['normal', 'normal']
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keep_prob = 0.9
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keep_prob = 0.9
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class TrainConfig:
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class TrainConfig:
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"""
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"""train config"""
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Define parameters of training.
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"""
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batch_size = DataConfig.batch_size
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batch_size = DataConfig.batch_size
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l2_coef = 1e-6
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l2_coef = 8e-5
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learning_rate = 1e-5
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learning_rate = 5e-4
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epsilon = 1e-8
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epsilon = 5e-8
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loss_scale = 1024.0
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loss_scale = 1024.0
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train_epochs = 15
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train_epochs = 5
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save_checkpoint = True
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save_checkpoint = True
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ckpt_file_name_prefix = "deepfm"
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ckpt_file_name_prefix = "deepfm"
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save_checkpoint_steps = 1
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save_checkpoint_steps = 1
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keep_checkpoint_max = 15
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keep_checkpoint_max = 50
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eval_callback = True
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eval_callback = True
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loss_callback = True
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loss_callback = True
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