def METHOD_NAME(self):
    self.is_distributed = False
    self.distributed_embedding = False
    self.item_emb_size = self.config.get("hyper_parameters.item_emb_size",
                                         64)
    self.cat_emb_size = self.config.get("hyper_parameters.cat_emb_size",
                                        64)
    self.position_emb_size = self.config.get(
        "hyper_parameters.position_emb_size", 64)
    self.act = self.config.get("hyper_parameters.act", "sigmoid")
    self.is_sparse = self.config.get("hyper_parameters.is_sparse", False)
    # significant for speeding up the training process
    self.use_DataLoader = self.config.get(
        "hyper_parameters.use_DataLoader", False)
    self.item_count = self.config.get("hyper_parameters.item_count", 63001)
    self.user_count = self.config.get("hyper_parameters.user_count",
                                      192403)
    self.cat_count = self.config.get("hyper_parameters.cat_count", 801)
    self.position_count = self.config.get(
        "hyper_parameters.position_count", 5001)
    self.n_encoder_layers = self.config.get(
        "hyper_parameters.n_encoder_layers", 1)
    self.d_model = self.config.get("hyper_parameters.d_model", 96)
    self.d_key = self.config.get("hyper_parameters.d_key", None)
    self.d_value = self.config.get("hyper_parameters.d_value", None)
    self.n_head = self.config.get("hyper_parameters.n_head", None)
    self.dropout_rate = self.config.get("hyper_parameters.dropout_rate",
                                        0.0)
    self.postprocess_cmd = self.config.get(
        "hyper_parameters.postprocess_cmd", "da")
    self.preprocess_cmd = self.config.get(
        "hyper_parameters.postprocess_cmd", "n")
    self.prepostprocess_dropout = self.config.get(
        "hyper_parameters.prepostprocess_dropout", 0.0)
    self.d_inner_hid = self.config.get("hyper_parameters.d_inner_hid", 512)
    self.relu_dropout = self.config.get("hyper_parameters.relu_dropout",
                                        0.0)
    self.layer_sizes = self.config.get("hyper_parameters.fc_sizes", None)
    self.learning_rate = self.config.get(
        "hyper_parameters.optimizer.learning_rate")