推荐广告使用PaddleRec里的gnn算法,无法收敛
Created by: xugang02
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- 标题:简洁、精准概括您的问题,例如“Insufficient Memory xxx" ”
- 版本、环境信息: 1)PaddlePaddle版本:1.4.1 2)CPU: 3)GPU:CUDA9 4)系统环境:python 2.7.3
- 训练信息 1)单机,单 2)Tesla K40m 3)Operator信息
- 复现信息: CUDA_VISIBLE_DEVICES=13,10,7,8,9,11,12,14 fluid -u train.py --use_cuda 1 >log1.txt 2>&1 &
- 问题描述: 使用PaddleRec里的gnn算法对用户对点击广告序列做预测,无法收敛比较好的结果,train_acc一直在0.6以下,麻烦帮忙看看 2019-05-21 17:58:31,923-INFO: epoch loss: 6.3719 2019-05-21 17:58:32,113-INFO: model saved in ./saved_model/epoch_13 2019-05-21 17:58:33,956-INFO: global_step: 141500, loss: 6.3611, train_acc: 0.4799 2019-05-21 17:59:00,168-INFO: global_step: 142000, loss: 6.4052, train_acc: 0.4773 2019-05-21 17:59:25,852-INFO: global_step: 142500, loss: 6.3732, train_acc: 0.4800 2019-05-21 17:59:52,234-INFO: global_step: 143000, loss: 6.3516, train_acc: 0.4793 2019-05-21 18:00:19,459-INFO: global_step: 143500, loss: 6.3832, train_acc: 0.4783 2019-05-21 18:00:46,142-INFO: global_step: 144000, loss: 6.3396, train_acc: 0.4831 2019-05-21 18:01:10,977-INFO: global_step: 144500, loss: 6.3737, train_acc: 0.4774 2019-05-21 18:01:35,072-INFO: global_step: 145000, loss: 6.3783, train_acc: 0.4773 2019-05-21 18:02:00,112-INFO: global_step: 145500, loss: 6.4053, train_acc: 0.4745