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- linux
- 模型:model_bert
- 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 : 0.3119 , precision@3 : 0.2562 , precision@5 : 0.1913
- ndcg@1 : 0.3119 , ndcg@3 : 0.3267 , ndcg@5 : 0.3615
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0079
- precision@1 : 0.3467 , precision@3 : 0.2812 , precision@5 : 0.2190
- ndcg@1 : 0.3467 , ndcg@3 : 0.3595 , ndcg@5 : 0.4055
- ----------------------------------------
- 开始训练!
- Running EPOCH 2
- epoch 24 train end : avg_loss = 0.0042
- precision@1 : 0.7532 , precision@3 : 0.5562 , precision@5 : 0.3909
- ndcg@1 : 0.7531 , ndcg@3 : 0.7304 , ndcg@5 : 0.7806
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0036
- precision@1 : 0.8496 , precision@3 : 0.6214 , precision@5 : 0.4287
- ndcg@1 : 0.8496 , ndcg@3 : 0.8150 , ndcg@5 : 0.8603
- ----------------------------------------
- 开始训练!
- Running EPOCH 3
- epoch 24 train end : avg_loss = 0.0030
- precision@1 : 0.8767 , precision@3 : 0.6442 , precision@5 : 0.4370
- ndcg@1 : 0.8767 , ndcg@3 : 0.8468 , ndcg@5 : 0.8863
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8662 , precision@3 : 0.6361 , precision@5 : 0.4358
- ndcg@1 : 0.8662 , ndcg@3 : 0.8346 , ndcg@5 : 0.8773
- ----------------------------------------
- 开始训练!
- Running EPOCH 4
- epoch 24 train end : avg_loss = 0.0024
- precision@1 : 0.9208 , precision@3 : 0.6803 , precision@5 : 0.4535
- ndcg@1 : 0.9208 , ndcg@3 : 0.8931 , ndcg@5 : 0.9252
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0032
- precision@1 : 0.8594 , precision@3 : 0.6409 , precision@5 : 0.4377
- ndcg@1 : 0.8593 , ndcg@3 : 0.8381 , ndcg@5 : 0.8791
- ----------------------------------------
- 开始训练!
- Running EPOCH 5
- epoch 24 train end : avg_loss = 0.0019
- precision@1 : 0.9501 , precision@3 : 0.7107 , precision@5 : 0.4653
- ndcg@1 : 0.9501 , ndcg@3 : 0.9301 , ndcg@5 : 0.9535
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8877 , precision@3 : 0.6393 , precision@5 : 0.4346
- ndcg@1 : 0.8877 , ndcg@3 : 0.8438 , ndcg@5 : 0.8824
- ----------------------------------------
- 开始训练!
- Running EPOCH 6
- epoch 24 train end : avg_loss = 0.0015
- precision@1 : 0.9677 , precision@3 : 0.7321 , precision@5 : 0.4719
- ndcg@1 : 0.9676 , ndcg@3 : 0.9557 , ndcg@5 : 0.9715
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0035
- precision@1 : 0.8809 , precision@3 : 0.6419 , precision@5 : 0.4340
- ndcg@1 : 0.8808 , ndcg@3 : 0.8458 , ndcg@5 : 0.8821
- ----------------------------------------
- 开始训练!
- Running EPOCH 7
- epoch 24 train end : avg_loss = 0.0011
- precision@1 : 0.9799 , precision@3 : 0.7471 , precision@5 : 0.4757
- ndcg@1 : 0.9798 , ndcg@3 : 0.9736 , ndcg@5 : 0.9831
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0037
- precision@1 : 0.8857 , precision@3 : 0.6370 , precision@5 : 0.4297
- ndcg@1 : 0.8857 , ndcg@3 : 0.8422 , ndcg@5 : 0.8770
- ----------------------------------------
- 开始训练!
- Running EPOCH 8
- epoch 24 train end : avg_loss = 0.0010
- precision@1 : 0.9853 , precision@3 : 0.7533 , precision@5 : 0.4774
- ndcg@1 : 0.9853 , ndcg@3 : 0.9811 , ndcg@5 : 0.9882
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0039
- precision@1 : 0.8838 , precision@3 : 0.6377 , precision@5 : 0.4227
- ndcg@1 : 0.8838 , ndcg@3 : 0.8437 , ndcg@5 : 0.8704
- ----------------------------------------
- 开始训练!
- Running EPOCH 9
- epoch 24 train end : avg_loss = 0.0007
- precision@1 : 0.9897 , precision@3 : 0.7589 , precision@5 : 0.4784
- ndcg@1 : 0.9897 , ndcg@3 : 0.9874 , ndcg@5 : 0.9919
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0042
- precision@1 : 0.8906 , precision@3 : 0.6364 , precision@5 : 0.4213
- ndcg@1 : 0.8906 , ndcg@3 : 0.8435 , ndcg@5 : 0.8694
- ----------------------------------------
- 开始训练!
- Running EPOCH 10
- epoch 24 train end : avg_loss = 0.0005
- precision@1 : 0.9922 , precision@3 : 0.7622 , precision@5 : 0.4794
- ndcg@1 : 0.9922 , ndcg@3 : 0.9914 , ndcg@5 : 0.9946
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0044
- precision@1 : 0.8877 , precision@3 : 0.6322 , precision@5 : 0.4203
- ndcg@1 : 0.8877 , ndcg@3 : 0.8400 , ndcg@5 : 0.8678
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