|
- linux
- 模型:model_bert
- 路由算法:Adaptive_KDE_routing
- loading data...
-
- load done
- ----------------------------------------
- 开始训练!
- Running EPOCH 1
- epoch 24 train end : avg_loss = 0.0114
- precision@1 : 0.3119 , precision@3 : 0.2562 , precision@5 : 0.1912
- ndcg@1 : 0.3119 , ndcg@3 : 0.3267 , ndcg@5 : 0.3614
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0080
- precision@1 : 0.3467 , precision@3 : 0.2812 , precision@5 : 0.2186
- ndcg@1 : 0.3467 , ndcg@3 : 0.3595 , ndcg@5 : 0.4050
- ----------------------------------------
- 开始训练!
- Running EPOCH 2
- epoch 24 train end : avg_loss = 0.0042
- precision@1 : 0.7524 , precision@3 : 0.5552 , precision@5 : 0.3907
- ndcg@1 : 0.7523 , ndcg@3 : 0.7293 , ndcg@5 : 0.7799
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0037
- precision@1 : 0.8486 , precision@3 : 0.6107 , precision@5 : 0.4234
- ndcg@1 : 0.8486 , ndcg@3 : 0.8045 , ndcg@5 : 0.8517
- ----------------------------------------
- 开始训练!
- Running EPOCH 3
- epoch 24 train end : avg_loss = 0.0030
- precision@1 : 0.8772 , precision@3 : 0.6440 , precision@5 : 0.4369
- ndcg@1 : 0.8771 , ndcg@3 : 0.8467 , ndcg@5 : 0.8863
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8545 , precision@3 : 0.6312 , precision@5 : 0.4342
- ndcg@1 : 0.8545 , ndcg@3 : 0.8265 , ndcg@5 : 0.8709
- ----------------------------------------
- 开始训练!
- Running EPOCH 4
- epoch 24 train end : avg_loss = 0.0024
- precision@1 : 0.9211 , precision@3 : 0.6804 , precision@5 : 0.4534
- ndcg@1 : 0.9210 , ndcg@3 : 0.8932 , ndcg@5 : 0.9251
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0032
- precision@1 : 0.8721 , precision@3 : 0.6390 , precision@5 : 0.4356
- ndcg@1 : 0.8720 , ndcg@3 : 0.8389 , ndcg@5 : 0.8786
- ----------------------------------------
- 开始训练!
- Running EPOCH 5
- epoch 24 train end : avg_loss = 0.0019
- precision@1 : 0.9497 , precision@3 : 0.7105 , precision@5 : 0.4648
- ndcg@1 : 0.9496 , ndcg@3 : 0.9298 , ndcg@5 : 0.9528
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0034
- precision@1 : 0.8818 , precision@3 : 0.6396 , precision@5 : 0.4332
- ndcg@1 : 0.8818 , ndcg@3 : 0.8416 , ndcg@5 : 0.8784
- ----------------------------------------
- 开始训练!
- Running EPOCH 6
- epoch 24 train end : avg_loss = 0.0015
- precision@1 : 0.9669 , precision@3 : 0.7329 , precision@5 : 0.4719
- ndcg@1 : 0.9668 , ndcg@3 : 0.9562 , ndcg@5 : 0.9714
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0036
- precision@1 : 0.8740 , precision@3 : 0.6370 , precision@5 : 0.4276
- ndcg@1 : 0.8740 , ndcg@3 : 0.8378 , ndcg@5 : 0.8698
- ----------------------------------------
- 开始训练!
- Running EPOCH 7
- epoch 24 train end : avg_loss = 0.0011
- precision@1 : 0.9790 , precision@3 : 0.7468 , precision@5 : 0.4758
- ndcg@1 : 0.9790 , ndcg@3 : 0.9729 , ndcg@5 : 0.9827
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0039
- precision@1 : 0.8760 , precision@3 : 0.6348 , precision@5 : 0.4213
- ndcg@1 : 0.8760 , ndcg@3 : 0.8367 , ndcg@5 : 0.8648
- ----------------------------------------
- 开始训练!
- Running EPOCH 8
- epoch 24 train end : avg_loss = 0.0010
- precision@1 : 0.9841 , precision@3 : 0.7533 , precision@5 : 0.4774
- ndcg@1 : 0.9841 , ndcg@3 : 0.9808 , ndcg@5 : 0.9879
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0040
- precision@1 : 0.8838 , precision@3 : 0.6328 , precision@5 : 0.4215
- ndcg@1 : 0.8838 , ndcg@3 : 0.8369 , ndcg@5 : 0.8661
- ----------------------------------------
- 开始训练!
- Running EPOCH 9
- epoch 24 train end : avg_loss = 0.0007
- precision@1 : 0.9884 , precision@3 : 0.7582 , precision@5 : 0.4783
- ndcg@1 : 0.9884 , ndcg@3 : 0.9865 , ndcg@5 : 0.9913
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0043
- precision@1 : 0.8906 , precision@3 : 0.6354 , precision@5 : 0.4215
- ndcg@1 : 0.8906 , ndcg@3 : 0.8420 , ndcg@5 : 0.8684
- ----------------------------------------
- 开始训练!
- Running EPOCH 10
- epoch 24 train end : avg_loss = 0.0005
- precision@1 : 0.9922 , precision@3 : 0.7620 , precision@5 : 0.4792
- ndcg@1 : 0.9921 , ndcg@3 : 0.9912 , ndcg@5 : 0.9944
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0046
- precision@1 : 0.8896 , precision@3 : 0.6348 , precision@5 : 0.4143
- ndcg@1 : 0.8896 , ndcg@3 : 0.8400 , ndcg@5 : 0.8604
|