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- linux
- 模型:big_paper_model
- 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 = 0.0109
- precision@1 : 0.3125 , precision@3 : 0.2563 , precision@5 : 0.1923
- ndcg@1 : 0.3125 , ndcg@3 : 0.3269 , ndcg@5 : 0.3626
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0082
- precision@1 : 0.3467 , precision@3 : 0.2812 , precision@5 : 0.2109
- ndcg@1 : 0.3467 , ndcg@3 : 0.3595 , ndcg@5 : 0.3971
- ----------------------------------------
- 开始训练!
- Running EPOCH 2
- epoch 24 train end : avg_loss = 0.0071
- precision@1 : 0.3863 , precision@3 : 0.3100 , precision@5 : 0.2352
- ndcg@1 : 0.3863 , ndcg@3 : 0.3972 , ndcg@5 : 0.4442
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0057
- precision@1 : 0.5947 , precision@3 : 0.4486 , precision@5 : 0.3250
- ndcg@1 : 0.5947 , ndcg@3 : 0.5848 , ndcg@5 : 0.6362
- ----------------------------------------
- 开始训练!
- Running EPOCH 3
- epoch 24 train end : avg_loss = 0.0043
- precision@1 : 0.7426 , precision@3 : 0.5495 , precision@5 : 0.3894
- ndcg@1 : 0.7426 , ndcg@3 : 0.7210 , ndcg@5 : 0.7742
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0038
- precision@1 : 0.8135 , precision@3 : 0.6029 , precision@5 : 0.4227
- ndcg@1 : 0.8134 , ndcg@3 : 0.7906 , ndcg@5 : 0.8418
- ----------------------------------------
- 开始训练!
- Running EPOCH 4
- epoch 24 train end : avg_loss = 0.0031
- precision@1 : 0.8679 , precision@3 : 0.6359 , precision@5 : 0.4325
- ndcg@1 : 0.8679 , ndcg@3 : 0.8371 , ndcg@5 : 0.8775
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0034
- precision@1 : 0.8477 , precision@3 : 0.6305 , precision@5 : 0.4338
- ndcg@1 : 0.8476 , ndcg@3 : 0.8260 , ndcg@5 : 0.8696
- ----------------------------------------
- 开始训练!
- Running EPOCH 5
- epoch 24 train end : avg_loss = 0.0026
- precision@1 : 0.9140 , precision@3 : 0.6735 , precision@5 : 0.4499
- ndcg@1 : 0.9139 , ndcg@3 : 0.8849 , ndcg@5 : 0.9177
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0033
- precision@1 : 0.8701 , precision@3 : 0.6370 , precision@5 : 0.4332
- ndcg@1 : 0.8701 , ndcg@3 : 0.8374 , ndcg@5 : 0.8765
- ----------------------------------------
- 开始训练!
- Running EPOCH 6
- epoch 24 train end : avg_loss = 0.0021
- precision@1 : 0.9424 , precision@3 : 0.7022 , precision@5 : 0.4612
- ndcg@1 : 0.9424 , ndcg@3 : 0.9201 , ndcg@5 : 0.9450
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0034
- precision@1 : 0.8809 , precision@3 : 0.6393 , precision@5 : 0.4309
- ndcg@1 : 0.8808 , ndcg@3 : 0.8428 , ndcg@5 : 0.8773
- ----------------------------------------
- 开始训练!
- Running EPOCH 7
- epoch 24 train end : avg_loss = 0.0017
- precision@1 : 0.9595 , precision@3 : 0.7225 , precision@5 : 0.4681
- ndcg@1 : 0.9594 , ndcg@3 : 0.9444 , ndcg@5 : 0.9628
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0035
- precision@1 : 0.8730 , precision@3 : 0.6387 , precision@5 : 0.4285
- ndcg@1 : 0.8730 , ndcg@3 : 0.8396 , ndcg@5 : 0.8729
- ----------------------------------------
- 开始训练!
- Running EPOCH 8
- epoch 24 train end : avg_loss = 0.0014
- precision@1 : 0.9706 , precision@3 : 0.7379 , precision@5 : 0.4726
- ndcg@1 : 0.9705 , ndcg@3 : 0.9621 , ndcg@5 : 0.9748
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0039
- precision@1 : 0.8789 , precision@3 : 0.6403 , precision@5 : 0.4285
- ndcg@1 : 0.8789 , ndcg@3 : 0.8441 , ndcg@5 : 0.8753
- ----------------------------------------
- 开始训练!
- Running EPOCH 9
- epoch 24 train end : avg_loss = 0.0010
- precision@1 : 0.9788 , precision@3 : 0.7491 , precision@5 : 0.4762
- ndcg@1 : 0.9787 , ndcg@3 : 0.9752 , ndcg@5 : 0.9839
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0042
- precision@1 : 0.8828 , precision@3 : 0.6367 , precision@5 : 0.4203
- ndcg@1 : 0.8828 , ndcg@3 : 0.8409 , ndcg@5 : 0.8660
- ----------------------------------------
- 开始训练!
- Running EPOCH 10
- epoch 24 train end : avg_loss = 0.0007
- precision@1 : 0.9837 , precision@3 : 0.7559 , precision@5 : 0.4780
- ndcg@1 : 0.9837 , ndcg@3 : 0.9831 , ndcg@5 : 0.9890
- **************************************
- 开始测试!
- epoch 8 test end : avg_loss = 0.0044
- precision@1 : 0.8857 , precision@3 : 0.6354 , precision@5 : 0.4203
- ndcg@1 : 0.8857 , ndcg@3 : 0.8407 , ndcg@5 : 0.8669
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