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Created July 15, 2017 18:28
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test_doggy
2017-07-16 01:22:40,678 : INFO : LOG_FILE
2017-07-16 01:22:50,672 : INFO : freeze encoder
2017-07-16 01:22:50,864 : INFO : not use pretrained glove
2017-07-16 01:22:50,864 : INFO : --model info --
2017-07-16 01:22:50,865 : INFO : ModelWrapper (
2017-07-16 01:22:50,865 : INFO : (drop): Dropout (p = 0.5)
2017-07-16 01:22:50,865 : INFO : (encoder): Embedding(10000, 300)
2017-07-16 01:22:50,866 : INFO : (conv_module): MultiConvModule (
2017-07-16 01:22:50,866 : INFO : (convList): ModuleList (
2017-07-16 01:22:50,866 : INFO : (0): Conv2d(1, 100, kernel_size=(5, 300), stride=(1, 1), padding=(2, 0))
2017-07-16 01:22:50,867 : INFO : (1): Conv2d(1, 100, kernel_size=(3, 300), stride=(1, 1), padding=(1, 0))
2017-07-16 01:22:50,867 : INFO : )
2017-07-16 01:22:50,867 : INFO : (in_dropout): Dropout (p = 0.5)
2017-07-16 01:22:50,867 : INFO : (out_dropout): Dropout (p = 0.2)
2017-07-16 01:22:50,867 : INFO : )
2017-07-16 01:22:50,868 : INFO : (rnn): LSTM(200, 168)
2017-07-16 01:22:50,868 : INFO : (decoder): Linear (168 -> 10000)
2017-07-16 01:22:50,868 : INFO : )
2017-07-16 01:22:57,354 : INFO : | epoch 1 | 200/ 1327 batches | lr 20.00 | ms/batch 32.43 | loss 5.54 | ppl 254.01
2017-07-16 01:23:02,103 : INFO : | epoch 1 | 400/ 1327 batches | lr 20.00 | ms/batch 23.74 | loss 4.06 | ppl 57.80
2017-07-16 01:23:07,038 : INFO : | epoch 1 | 600/ 1327 batches | lr 20.00 | ms/batch 24.67 | loss 3.68 | ppl 39.45
2017-07-16 01:23:11,950 : INFO : | epoch 1 | 800/ 1327 batches | lr 20.00 | ms/batch 24.56 | loss 3.37 | ppl 29.15
2017-07-16 01:23:16,955 : INFO : | epoch 1 | 1000/ 1327 batches | lr 20.00 | ms/batch 25.02 | loss 3.22 | ppl 24.98
2017-07-16 01:23:21,799 : INFO : | epoch 1 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.22 | loss 3.12 | ppl 22.72
2017-07-16 01:23:26,093 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:23:26,093 : INFO : | end of epoch 1 | time: 35.22s | valid loss 2.68 | valid ppl 14.65
2017-07-16 01:23:26,093 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:23:31,126 : INFO : | epoch 2 | 200/ 1327 batches | lr 20.00 | ms/batch 24.79 | loss 3.01 | ppl 20.21
2017-07-16 01:23:35,856 : INFO : | epoch 2 | 400/ 1327 batches | lr 20.00 | ms/batch 23.64 | loss 2.96 | ppl 19.26
2017-07-16 01:23:40,841 : INFO : | epoch 2 | 600/ 1327 batches | lr 20.00 | ms/batch 24.93 | loss 2.93 | ppl 18.66
2017-07-16 01:23:45,835 : INFO : | epoch 2 | 800/ 1327 batches | lr 20.00 | ms/batch 24.93 | loss 2.82 | ppl 16.73
2017-07-16 01:23:50,793 : INFO : | epoch 2 | 1000/ 1327 batches | lr 20.00 | ms/batch 24.78 | loss 2.78 | ppl 16.18
2017-07-16 01:23:55,753 : INFO : | epoch 2 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.80 | loss 2.75 | ppl 15.70
2017-07-16 01:24:00,011 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:24:00,012 : INFO : | end of epoch 2 | time: 33.84s | valid loss 2.26 | valid ppl 9.61
2017-07-16 01:24:00,012 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:24:05,003 : INFO : | epoch 3 | 200/ 1327 batches | lr 20.00 | ms/batch 24.23 | loss 2.74 | ppl 15.43
2017-07-16 01:24:09,954 : INFO : | epoch 3 | 400/ 1327 batches | lr 20.00 | ms/batch 24.75 | loss 2.72 | ppl 15.12
2017-07-16 01:24:14,908 : INFO : | epoch 3 | 600/ 1327 batches | lr 20.00 | ms/batch 24.76 | loss 2.72 | ppl 15.25
2017-07-16 01:24:19,935 : INFO : | epoch 3 | 800/ 1327 batches | lr 20.00 | ms/batch 25.13 | loss 2.65 | ppl 14.11
2017-07-16 01:24:24,956 : INFO : | epoch 3 | 1000/ 1327 batches | lr 20.00 | ms/batch 25.11 | loss 2.63 | ppl 13.93
2017-07-16 01:24:30,009 : INFO : | epoch 3 | 1200/ 1327 batches | lr 20.00 | ms/batch 25.26 | loss 2.62 | ppl 13.67
2017-07-16 01:24:34,232 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:24:34,232 : INFO : | end of epoch 3 | time: 34.07s | valid loss 2.15 | valid ppl 8.55
2017-07-16 01:24:34,233 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:24:39,277 : INFO : | epoch 4 | 200/ 1327 batches | lr 20.00 | ms/batch 24.95 | loss 2.61 | ppl 13.64
2017-07-16 01:24:44,379 : INFO : | epoch 4 | 400/ 1327 batches | lr 20.00 | ms/batch 25.51 | loss 2.62 | ppl 13.74
2017-07-16 01:24:49,351 : INFO : | epoch 4 | 600/ 1327 batches | lr 20.00 | ms/batch 24.85 | loss 2.63 | ppl 13.93
2017-07-16 01:24:54,245 : INFO : | epoch 4 | 800/ 1327 batches | lr 20.00 | ms/batch 24.47 | loss 2.56 | ppl 12.97
2017-07-16 01:24:59,232 : INFO : | epoch 4 | 1000/ 1327 batches | lr 20.00 | ms/batch 24.93 | loss 2.55 | ppl 12.84
2017-07-16 01:25:03,997 : INFO : | epoch 4 | 1200/ 1327 batches | lr 20.00 | ms/batch 23.82 | loss 2.54 | ppl 12.67
2017-07-16 01:25:08,205 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:25:08,206 : INFO : | end of epoch 4 | time: 33.92s | valid loss 2.04 | valid ppl 7.67
2017-07-16 01:25:08,206 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:25:13,354 : INFO : | epoch 5 | 200/ 1327 batches | lr 20.00 | ms/batch 25.52 | loss 2.54 | ppl 12.66
2017-07-16 01:25:18,251 : INFO : | epoch 5 | 400/ 1327 batches | lr 20.00 | ms/batch 24.48 | loss 2.56 | ppl 12.90
2017-07-16 01:25:23,089 : INFO : | epoch 5 | 600/ 1327 batches | lr 20.00 | ms/batch 24.18 | loss 2.57 | ppl 13.07
2017-07-16 01:25:28,009 : INFO : | epoch 5 | 800/ 1327 batches | lr 20.00 | ms/batch 24.60 | loss 2.50 | ppl 12.22
2017-07-16 01:25:32,917 : INFO : | epoch 5 | 1000/ 1327 batches | lr 20.00 | ms/batch 24.54 | loss 2.50 | ppl 12.16
2017-07-16 01:25:37,909 : INFO : | epoch 5 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.96 | loss 2.49 | ppl 12.08
2017-07-16 01:25:42,103 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:25:42,103 : INFO : | end of epoch 5 | time: 33.85s | valid loss 1.94 | valid ppl 6.98
2017-07-16 01:25:42,103 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:25:47,060 : INFO : | epoch 6 | 200/ 1327 batches | lr 20.00 | ms/batch 24.53 | loss 2.51 | ppl 12.25
2017-07-16 01:25:51,840 : INFO : | epoch 6 | 400/ 1327 batches | lr 20.00 | ms/batch 23.89 | loss 2.51 | ppl 12.35
2017-07-16 01:25:56,852 : INFO : | epoch 6 | 600/ 1327 batches | lr 20.00 | ms/batch 25.06 | loss 2.53 | ppl 12.55
2017-07-16 01:26:01,814 : INFO : | epoch 6 | 800/ 1327 batches | lr 20.00 | ms/batch 24.80 | loss 2.47 | ppl 11.82
2017-07-16 01:26:06,851 : INFO : | epoch 6 | 1000/ 1327 batches | lr 20.00 | ms/batch 25.19 | loss 2.46 | ppl 11.68
2017-07-16 01:26:11,737 : INFO : | epoch 6 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.42 | loss 2.46 | ppl 11.65
2017-07-16 01:26:15,995 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:26:15,995 : INFO : | end of epoch 6 | time: 33.84s | valid loss 1.82 | valid ppl 6.20
2017-07-16 01:26:15,995 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:26:20,924 : INFO : | epoch 7 | 200/ 1327 batches | lr 20.00 | ms/batch 24.22 | loss 2.48 | ppl 11.90
2017-07-16 01:26:25,858 : INFO : | epoch 7 | 400/ 1327 batches | lr 20.00 | ms/batch 24.66 | loss 2.49 | ppl 12.03
2017-07-16 01:26:30,752 : INFO : | epoch 7 | 600/ 1327 batches | lr 20.00 | ms/batch 24.47 | loss 2.50 | ppl 12.22
2017-07-16 01:26:35,677 : INFO : | epoch 7 | 800/ 1327 batches | lr 20.00 | ms/batch 24.63 | loss 2.44 | ppl 11.52
2017-07-16 01:26:40,713 : INFO : | epoch 7 | 1000/ 1327 batches | lr 20.00 | ms/batch 25.18 | loss 2.44 | ppl 11.51
2017-07-16 01:26:45,593 : INFO : | epoch 7 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.40 | loss 2.44 | ppl 11.44
2017-07-16 01:26:49,832 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:26:49,832 : INFO : | end of epoch 7 | time: 33.75s | valid loss 1.73 | valid ppl 5.62
2017-07-16 01:26:49,832 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:26:54,745 : INFO : | epoch 8 | 200/ 1327 batches | lr 20.00 | ms/batch 24.26 | loss 2.44 | ppl 11.53
2017-07-16 01:26:59,736 : INFO : | epoch 8 | 400/ 1327 batches | lr 20.00 | ms/batch 24.95 | loss 2.46 | ppl 11.73
2017-07-16 01:27:04,629 : INFO : | epoch 8 | 600/ 1327 batches | lr 20.00 | ms/batch 24.46 | loss 2.48 | ppl 12.00
2017-07-16 01:27:09,624 : INFO : | epoch 8 | 800/ 1327 batches | lr 20.00 | ms/batch 24.97 | loss 2.43 | ppl 11.35
2017-07-16 01:27:14,657 : INFO : | epoch 8 | 1000/ 1327 batches | lr 20.00 | ms/batch 25.16 | loss 2.42 | ppl 11.22
2017-07-16 01:27:19,600 : INFO : | epoch 8 | 1200/ 1327 batches | lr 20.00 | ms/batch 24.72 | loss 2.41 | ppl 11.15
2017-07-16 01:27:24,005 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:27:24,006 : INFO : | end of epoch 8 | time: 34.11s | valid loss 1.59 | valid ppl 4.92
2017-07-16 01:27:24,006 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:27:28,926 : INFO : | epoch 9 | 200/ 1327 batches | lr 20.00 | ms/batch 24.26 | loss 2.43 | ppl 11.41
2017-07-16 01:27:33,832 : INFO : | epoch 9 | 400/ 1327 batches | lr 20.00 | ms/batch 24.53 | loss 2.46 | ppl 11.68
2017-07-16 01:27:38,818 : INFO : | epoch 9 | 600/ 1327 batches | lr 20.00 | ms/batch 24.93 | loss 2.47 | ppl 11.81
2017-07-16 01:27:43,865 : INFO : | epoch 9 | 800/ 1327 batches | lr 20.00 | ms/batch 25.23 | loss 2.41 | ppl 11.11
2017-07-16 01:27:48,831 : INFO : | epoch 9 | 1000/ 1327 batches | lr 20.00 | ms/batch 24.83 | loss 2.41 | ppl 11.09
2017-07-16 01:27:53,943 : INFO : | epoch 9 | 1200/ 1327 batches | lr 20.00 | ms/batch 25.56 | loss 2.40 | ppl 11.07
2017-07-16 01:27:58,466 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:27:58,466 : INFO : | end of epoch 9 | time: 34.39s | valid loss 1.46 | valid ppl 4.29
2017-07-16 01:27:58,467 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:28:03,310 : INFO : | epoch 10 | 200/ 1327 batches | lr 20.00 | ms/batch 23.93 | loss 2.41 | ppl 11.19
2017-07-16 01:28:08,289 : INFO : | epoch 10 | 400/ 1327 batches | lr 20.00 | ms/batch 24.89 | loss 2.44 | ppl 11.50
2017-07-16 01:28:13,239 : INFO : | epoch 10 | 600/ 1327 batches | lr 20.00 | ms/batch 24.75 | loss 2.46 | ppl 11.70
2017-07-16 01:28:17,990 : INFO : | epoch 10 | 800/ 1327 batches | lr 20.00 | ms/batch 23.75 | loss 2.40 | ppl 10.98
2017-07-16 01:28:22,974 : INFO : | epoch 10 | 1000/ 1327 batches | lr 20.00 | ms/batch 24.92 | loss 2.39 | ppl 10.91
2017-07-16 01:28:27,985 : INFO : | epoch 10 | 1200/ 1327 batches | lr 20.00 | ms/batch 25.05 | loss 2.39 | ppl 10.96
2017-07-16 01:28:32,150 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:28:32,150 : INFO : | end of epoch 10 | time: 33.63s | valid loss 1.38 | valid ppl 3.96
2017-07-16 01:28:32,150 : INFO : -----------------------------------------------------------------------------------------
2017-07-16 01:28:33,675 : INFO : =========================================================================================
2017-07-16 01:28:33,676 : INFO : | End of training | test loss 1.31 | test ppl 3.70
2017-07-16 01:28:33,676 : INFO : =========================================================================================
2017-07-16 01:28:33,681 : INFO : save state file to debug11
@yangyaofei
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Hi, do you find you problem? I get a low ppl too, and I can not find why

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