# Copyright (c) 2020 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. # global settings debug: false workspace: "paddlerec.models.rank.BST" dataset: - name: sample_1 type: DataLoader batch_size: 5 data_path: "{workspace}/data/train_data" sparse_slots: "label history cate position target target_cate target_position" - name: infer_sample type: DataLoader batch_size: 5 data_path: "{workspace}/data/train_data" sparse_slots: "label history cate position target target_cate target_position" hyper_parameters: optimizer: class: SGD learning_rate: 0.0001 use_DataLoader: True item_emb_size: 96 cat_emb_size: 96 position_emb_size: 96 is_sparse: False item_count: 63001 cat_count: 801 position_count: 5001 n_encoder_layers: 1 d_model: 288 d_key: 48 d_value: 48 n_head: 6 dropout_rate: 0 postprocess_cmd: "da" prepostprocess_dropout: 0 d_inner_hid: 512 relu_dropout: 0.0 act: "relu" fc_sizes: [1024, 512, 256] mode: train_runner runner: - name: train_runner class: train epochs: 1 device: cpu init_model_path: "" save_checkpoint_interval: 1 save_inference_interval: 1 save_checkpoint_path: "increment_BST" save_inference_path: "inference_BST" print_interval: 1 - name: infer_runner class: infer device: cpu init_model_path: "increment_BST/0" print_interval: 1 phase: - name: phase1 model: "{workspace}/model.py" dataset_name: sample_1 thread_num: 1 #- name: infer_phase # model: "{workspace}/model.py" # dataset_name: infer_sample # thread_num: 1