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- linux
- 模型:model_bert2
- 路由算法:Adaptive_KDE_routing
- loading data...
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- load done
- ----------------------------------------
- 开始训练!
- Running EPOCH 1
- epoch 24 train end : avg_loss = 0.0114
- precision@1 : 0.3118 , precision@3 : 0.2566 , precision@5 : 0.1904
- ndcg@1 : 0.3118 , ndcg@3 : 0.3270 , ndcg@5 : 0.3606
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0081
- precision@1 : 0.3467 , precision@3 : 0.2812 , precision@5 : 0.2127
- ndcg@1 : 0.3467 , ndcg@3 : 0.3595 , ndcg@5 : 0.3990
- ----------------------------------------
- 开始训练!
- Running EPOCH 2
- epoch 24 train end : avg_loss = 0.0044
- precision@1 : 0.7389 , precision@3 : 0.5455 , precision@5 : 0.3836
- ndcg@1 : 0.7389 , ndcg@3 : 0.7164 , ndcg@5 : 0.7660
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0036
- precision@1 : 0.8476 , precision@3 : 0.6159 , precision@5 : 0.4277
- ndcg@1 : 0.8476 , ndcg@3 : 0.8092 , ndcg@5 : 0.8572
- ----------------------------------------
- 开始训练!
- Running EPOCH 3
- epoch 24 train end : avg_loss = 0.0030
- precision@1 : 0.8754 , precision@3 : 0.6432 , precision@5 : 0.4366
- ndcg@1 : 0.8754 , ndcg@3 : 0.8457 , ndcg@5 : 0.8854
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8486 , precision@3 : 0.6318 , precision@5 : 0.4348
- ndcg@1 : 0.8486 , ndcg@3 : 0.8259 , ndcg@5 : 0.8709
- ----------------------------------------
- 开始训练!
- Running EPOCH 4
- epoch 24 train end : avg_loss = 0.0024
- precision@1 : 0.9196 , precision@3 : 0.6792 , precision@5 : 0.4531
- ndcg@1 : 0.9196 , ndcg@3 : 0.8915 , ndcg@5 : 0.9239
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8730 , precision@3 : 0.6387 , precision@5 : 0.4336
- ndcg@1 : 0.8730 , ndcg@3 : 0.8385 , ndcg@5 : 0.8766
- ----------------------------------------
- 开始训练!
- Running EPOCH 5
- epoch 24 train end : avg_loss = 0.0019
- precision@1 : 0.9494 , precision@3 : 0.7096 , precision@5 : 0.4646
- ndcg@1 : 0.9493 , ndcg@3 : 0.9289 , ndcg@5 : 0.9523
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8740 , precision@3 : 0.6377 , precision@5 : 0.4324
- ndcg@1 : 0.8740 , ndcg@3 : 0.8388 , ndcg@5 : 0.8763
- ----------------------------------------
- 开始训练!
- Running EPOCH 6
- epoch 24 train end : avg_loss = 0.0015
- precision@1 : 0.9665 , precision@3 : 0.7316 , precision@5 : 0.4717
- ndcg@1 : 0.9665 , ndcg@3 : 0.9550 , ndcg@5 : 0.9709
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0035
- precision@1 : 0.8750 , precision@3 : 0.6429 , precision@5 : 0.4309
- ndcg@1 : 0.8750 , ndcg@3 : 0.8449 , ndcg@5 : 0.8770
- ----------------------------------------
- 开始训练!
- Running EPOCH 7
- epoch 24 train end : avg_loss = 0.0011
- precision@1 : 0.9789 , precision@3 : 0.7465 , precision@5 : 0.4756
- ndcg@1 : 0.9788 , ndcg@3 : 0.9727 , ndcg@5 : 0.9826
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0039
- precision@1 : 0.8760 , precision@3 : 0.6322 , precision@5 : 0.4225
- ndcg@1 : 0.8760 , ndcg@3 : 0.8351 , ndcg@5 : 0.8664
- ----------------------------------------
- 开始训练!
- Running EPOCH 8
- epoch 24 train end : avg_loss = 0.0010
- precision@1 : 0.9845 , precision@3 : 0.7534 , precision@5 : 0.4774
- ndcg@1 : 0.9844 , ndcg@3 : 0.9811 , ndcg@5 : 0.9880
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0040
- precision@1 : 0.8789 , precision@3 : 0.6341 , precision@5 : 0.4209
- ndcg@1 : 0.8789 , ndcg@3 : 0.8375 , ndcg@5 : 0.8652
- ----------------------------------------
- 开始训练!
- Running EPOCH 9
- epoch 24 train end : avg_loss = 0.0008
- precision@1 : 0.9877 , precision@3 : 0.7576 , precision@5 : 0.4782
- ndcg@1 : 0.9876 , ndcg@3 : 0.9858 , ndcg@5 : 0.9909
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0045
- precision@1 : 0.8770 , precision@3 : 0.6328 , precision@5 : 0.4176
- ndcg@1 : 0.8769 , ndcg@3 : 0.8360 , ndcg@5 : 0.8610
- ----------------------------------------
- 开始训练!
- Running EPOCH 10
- epoch 24 train end : avg_loss = 0.0005
- precision@1 : 0.9911 , precision@3 : 0.7616 , precision@5 : 0.4791
- ndcg@1 : 0.9911 , ndcg@3 : 0.9905 , ndcg@5 : 0.9938
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0047
- precision@1 : 0.8740 , precision@3 : 0.6286 , precision@5 : 0.4147
- ndcg@1 : 0.8740 , ndcg@3 : 0.8315 , ndcg@5 : 0.8571
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