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CR_static.log
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CR_static.log
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Namespace(batch_size=50, data_name='CR', dropout=0.5, epochs=200, gpu=0, log_interval=30, model_mode='static')
Use gpu0
maximum length (in tokens): 105
Done! Tokenizing Time=0.06s, #Sentences=3775
SentimentNet(
(embedding): Embedding(5343 -> 300, float32)
(encoder): ConvolutionalEncoder(
(_convs): HybridConcurrent(
(0): HybridSequential(
(0): Conv1D(300 -> 100, kernel_size=(3,), stride=(1,))
(1): HybridLambda(<lambda>)
(2): Activation(relu)
)
(1): HybridSequential(
(0): Conv1D(300 -> 100, kernel_size=(4,), stride=(1,))
(1): HybridLambda(<lambda>)
(2): Activation(relu)
)
(2): HybridSequential(
(0): Conv1D(300 -> 100, kernel_size=(5,), stride=(1,))
(1): HybridLambda(<lambda>)
(2): Activation(relu)
)
)
)
(output): HybridSequential(
(0): Dropout(p = 0.5, axes=())
(1): Dense(None -> 2, linear)
)
)
[Epoch 0 Batch 30/62] avg loss 0.013453, throughput 0.49332K wps
[Epoch 0 Batch 60/62] avg loss 0.013201, throughput 9.12905K wps
Begin Testing...
[Epoch 0] train avg loss 0.0135135, dev acc 0.6372, dev avg loss 0.657292, throughput 0.589541K wps
Observed Improvement.
Begin Testing...
[Epoch 1 Batch 30/62] avg loss 0.013074, throughput 9.17721K wps
[Epoch 1 Batch 60/62] avg loss 0.0131383, throughput 8.83377K wps
Begin Testing...
[Epoch 1] train avg loss 0.0132389, dev acc 0.6372, dev avg loss 0.653948, throughput 8.97021K wps
Observed Improvement.
Begin Testing...
[Epoch 2 Batch 30/62] avg loss 0.0130544, throughput 8.66364K wps
[Epoch 2 Batch 60/62] avg loss 0.0130481, throughput 9.07271K wps
Begin Testing...
[Epoch 2] train avg loss 0.0132125, dev acc 0.6372, dev avg loss 0.649604, throughput 8.83062K wps
Observed Improvement.
Begin Testing...
[Epoch 3 Batch 30/62] avg loss 0.0129246, throughput 9.11918K wps
[Epoch 3 Batch 60/62] avg loss 0.012915, throughput 8.60789K wps
Begin Testing...
[Epoch 3] train avg loss 0.0130879, dev acc 0.6372, dev avg loss 0.645271, throughput 8.83703K wps
Observed Improvement.
Begin Testing...
[Epoch 4 Batch 30/62] avg loss 0.0127787, throughput 8.99971K wps
[Epoch 4 Batch 60/62] avg loss 0.0128814, throughput 8.90885K wps
Begin Testing...
[Epoch 4] train avg loss 0.0129779, dev acc 0.6372, dev avg loss 0.641626, throughput 9.01854K wps
Observed Improvement.
Begin Testing...
[Epoch 5 Batch 30/62] avg loss 0.0127575, throughput 8.92341K wps
[Epoch 5 Batch 60/62] avg loss 0.0125757, throughput 8.87927K wps
Begin Testing...
[Epoch 5] train avg loss 0.0128468, dev acc 0.6372, dev avg loss 0.63822, throughput 8.986K wps
Observed Improvement.
Begin Testing...
[Epoch 6 Batch 30/62] avg loss 0.0126182, throughput 9.05278K wps
[Epoch 6 Batch 60/62] avg loss 0.012557, throughput 9.00891K wps
Begin Testing...
[Epoch 6] train avg loss 0.0127479, dev acc 0.6372, dev avg loss 0.634399, throughput 9.0268K wps
Observed Improvement.
Begin Testing...
[Epoch 7 Batch 30/62] avg loss 0.0123676, throughput 9.07123K wps
[Epoch 7 Batch 60/62] avg loss 0.012585, throughput 8.77266K wps
Begin Testing...
[Epoch 7] train avg loss 0.0126254, dev acc 0.6372, dev avg loss 0.630082, throughput 8.90005K wps
Observed Improvement.
Begin Testing...
[Epoch 8 Batch 30/62] avg loss 0.0124733, throughput 8.11682K wps
[Epoch 8 Batch 60/62] avg loss 0.0123281, throughput 8.9684K wps
Begin Testing...
[Epoch 8] train avg loss 0.0125728, dev acc 0.6372, dev avg loss 0.626247, throughput 8.51738K wps
Observed Improvement.
Begin Testing...
[Epoch 9 Batch 30/62] avg loss 0.0124185, throughput 8.91172K wps
[Epoch 9 Batch 60/62] avg loss 0.012148, throughput 8.92059K wps
Begin Testing...
[Epoch 9] train avg loss 0.0124306, dev acc 0.6372, dev avg loss 0.622376, throughput 8.95295K wps
Observed Improvement.
Begin Testing...
[Epoch 10 Batch 30/62] avg loss 0.0122605, throughput 9.01374K wps
[Epoch 10 Batch 60/62] avg loss 0.0123215, throughput 9.07611K wps
Begin Testing...
[Epoch 10] train avg loss 0.0124635, dev acc 0.6401, dev avg loss 0.618335, throughput 9.00136K wps
Observed Improvement.
Begin Testing...
[Epoch 11 Batch 30/62] avg loss 0.0121857, throughput 9.3083K wps
[Epoch 11 Batch 60/62] avg loss 0.0121149, throughput 9.10172K wps
Begin Testing...
[Epoch 11] train avg loss 0.0122647, dev acc 0.6372, dev avg loss 0.614826, throughput 9.23429K wps
[Epoch 12 Batch 30/62] avg loss 0.0120562, throughput 9.09189K wps
[Epoch 12 Batch 60/62] avg loss 0.0120224, throughput 8.9159K wps
Begin Testing...
[Epoch 12] train avg loss 0.0122215, dev acc 0.6401, dev avg loss 0.609992, throughput 8.96861K wps
Observed Improvement.
Begin Testing...
[Epoch 13 Batch 30/62] avg loss 0.0119838, throughput 9.02356K wps
[Epoch 13 Batch 60/62] avg loss 0.0117957, throughput 9.13158K wps
Begin Testing...
[Epoch 13] train avg loss 0.0119851, dev acc 0.6401, dev avg loss 0.605948, throughput 9.10396K wps
Observed Improvement.
Begin Testing...
[Epoch 14 Batch 30/62] avg loss 0.0117255, throughput 9.20371K wps
[Epoch 14 Batch 60/62] avg loss 0.0116741, throughput 9.1456K wps
Begin Testing...
[Epoch 14] train avg loss 0.0118635, dev acc 0.6490, dev avg loss 0.600683, throughput 9.20056K wps
Observed Improvement.
Begin Testing...
[Epoch 15 Batch 30/62] avg loss 0.0118932, throughput 9.0326K wps
[Epoch 15 Batch 60/62] avg loss 0.0115695, throughput 9.07056K wps
Begin Testing...
[Epoch 15] train avg loss 0.0119248, dev acc 0.6549, dev avg loss 0.59635, throughput 9.0842K wps
Observed Improvement.
Begin Testing...
[Epoch 16 Batch 30/62] avg loss 0.0114168, throughput 8.90957K wps
[Epoch 16 Batch 60/62] avg loss 0.011877, throughput 9.1071K wps
Begin Testing...
[Epoch 16] train avg loss 0.0118246, dev acc 0.6726, dev avg loss 0.592291, throughput 8.97878K wps
Observed Improvement.
Begin Testing...
[Epoch 17 Batch 30/62] avg loss 0.0114914, throughput 9.12496K wps
[Epoch 17 Batch 60/62] avg loss 0.0114783, throughput 8.88206K wps
Begin Testing...
[Epoch 17] train avg loss 0.0116381, dev acc 0.6608, dev avg loss 0.586603, throughput 9.03663K wps
[Epoch 18 Batch 30/62] avg loss 0.0114069, throughput 8.88985K wps
[Epoch 18 Batch 60/62] avg loss 0.0113029, throughput 9.20052K wps
Begin Testing...
[Epoch 18] train avg loss 0.0115518, dev acc 0.7139, dev avg loss 0.584607, throughput 9.0751K wps
Observed Improvement.
Begin Testing...
[Epoch 19 Batch 30/62] avg loss 0.0112828, throughput 9.03078K wps
[Epoch 19 Batch 60/62] avg loss 0.0111069, throughput 8.79403K wps
Begin Testing...
[Epoch 19] train avg loss 0.0113467, dev acc 0.6755, dev avg loss 0.576618, throughput 8.9452K wps
[Epoch 20 Batch 30/62] avg loss 0.0110237, throughput 9.15165K wps
[Epoch 20 Batch 60/62] avg loss 0.0111444, throughput 9.1099K wps
Begin Testing...
[Epoch 20] train avg loss 0.0112196, dev acc 0.6814, dev avg loss 0.571544, throughput 9.15182K wps
[Epoch 21 Batch 30/62] avg loss 0.0109504, throughput 8.91073K wps
[Epoch 21 Batch 60/62] avg loss 0.010932, throughput 9.06385K wps
Begin Testing...
[Epoch 21] train avg loss 0.0111048, dev acc 0.7198, dev avg loss 0.566694, throughput 9.02151K wps
Observed Improvement.
Begin Testing...
[Epoch 22 Batch 30/62] avg loss 0.0108412, throughput 9.03622K wps
[Epoch 22 Batch 60/62] avg loss 0.010773, throughput 9.0215K wps
Begin Testing...
[Epoch 22] train avg loss 0.0109251, dev acc 0.6932, dev avg loss 0.561649, throughput 9.0084K wps
[Epoch 23 Batch 30/62] avg loss 0.0109007, throughput 8.83497K wps
[Epoch 23 Batch 60/62] avg loss 0.0106117, throughput 9.25983K wps
Begin Testing...
[Epoch 23] train avg loss 0.0109197, dev acc 0.6991, dev avg loss 0.557275, throughput 9.07533K wps
[Epoch 24 Batch 30/62] avg loss 0.0107054, throughput 8.89435K wps
[Epoch 24 Batch 60/62] avg loss 0.0104663, throughput 8.60671K wps
Begin Testing...
[Epoch 24] train avg loss 0.0106969, dev acc 0.7168, dev avg loss 0.550998, throughput 8.72602K wps
[Epoch 25 Batch 30/62] avg loss 0.0105949, throughput 9.12345K wps
[Epoch 25 Batch 60/62] avg loss 0.0103349, throughput 9.21381K wps
Begin Testing...
[Epoch 25] train avg loss 0.0106174, dev acc 0.7139, dev avg loss 0.546022, throughput 9.19491K wps
[Epoch 26 Batch 30/62] avg loss 0.010135, throughput 9.05103K wps
[Epoch 26 Batch 60/62] avg loss 0.0105833, throughput 8.9891K wps
Begin Testing...
[Epoch 26] train avg loss 0.0104676, dev acc 0.7257, dev avg loss 0.541696, throughput 9.04878K wps
Observed Improvement.
Begin Testing...
[Epoch 27 Batch 30/62] avg loss 0.0103391, throughput 9.24173K wps
[Epoch 27 Batch 60/62] avg loss 0.0101502, throughput 9.10942K wps
Begin Testing...
[Epoch 27] train avg loss 0.0103526, dev acc 0.7168, dev avg loss 0.536232, throughput 9.13777K wps
[Epoch 28 Batch 30/62] avg loss 0.00999801, throughput 8.95888K wps
[Epoch 28 Batch 60/62] avg loss 0.0102347, throughput 8.8371K wps
Begin Testing...
[Epoch 28] train avg loss 0.0101968, dev acc 0.7316, dev avg loss 0.531448, throughput 8.87066K wps
Observed Improvement.
Begin Testing...
[Epoch 29 Batch 30/62] avg loss 0.00996894, throughput 8.91219K wps
[Epoch 29 Batch 60/62] avg loss 0.0100278, throughput 9.03408K wps
Begin Testing...
[Epoch 29] train avg loss 0.010146, dev acc 0.7286, dev avg loss 0.526901, throughput 8.94379K wps
[Epoch 30 Batch 30/62] avg loss 0.00992958, throughput 9.03941K wps
[Epoch 30 Batch 60/62] avg loss 0.00959382, throughput 9.07577K wps
Begin Testing...
[Epoch 30] train avg loss 0.00987068, dev acc 0.7286, dev avg loss 0.52216, throughput 9.08899K wps
[Epoch 31 Batch 30/62] avg loss 0.00956067, throughput 8.94866K wps
[Epoch 31 Batch 60/62] avg loss 0.00998356, throughput 8.94925K wps
Begin Testing...
[Epoch 31] train avg loss 0.00991217, dev acc 0.7286, dev avg loss 0.518666, throughput 8.91316K wps
[Epoch 32 Batch 30/62] avg loss 0.0096141, throughput 8.76619K wps
[Epoch 32 Batch 60/62] avg loss 0.00955195, throughput 9.05307K wps
Begin Testing...
[Epoch 32] train avg loss 0.00966685, dev acc 0.7316, dev avg loss 0.51362, throughput 8.87928K wps
Observed Improvement.
Begin Testing...
[Epoch 33 Batch 30/62] avg loss 0.00950129, throughput 8.97928K wps
[Epoch 33 Batch 60/62] avg loss 0.00953359, throughput 9.21216K wps
Begin Testing...
[Epoch 33] train avg loss 0.00965052, dev acc 0.7404, dev avg loss 0.508783, throughput 9.12611K wps
Observed Improvement.
Begin Testing...
[Epoch 34 Batch 30/62] avg loss 0.00933903, throughput 9.19204K wps
[Epoch 34 Batch 60/62] avg loss 0.00953598, throughput 8.94483K wps
Begin Testing...
[Epoch 34] train avg loss 0.00950503, dev acc 0.7316, dev avg loss 0.506524, throughput 9.11503K wps
[Epoch 35 Batch 30/62] avg loss 0.00922015, throughput 9.22312K wps
[Epoch 35 Batch 60/62] avg loss 0.0092717, throughput 9.02447K wps
Begin Testing...
[Epoch 35] train avg loss 0.00945783, dev acc 0.7463, dev avg loss 0.500936, throughput 9.15184K wps
Observed Improvement.
Begin Testing...
[Epoch 36 Batch 30/62] avg loss 0.00907356, throughput 9.06956K wps
[Epoch 36 Batch 60/62] avg loss 0.00925711, throughput 8.76336K wps
Begin Testing...
[Epoch 36] train avg loss 0.00926037, dev acc 0.7345, dev avg loss 0.499853, throughput 8.98965K wps
[Epoch 37 Batch 30/62] avg loss 0.00910382, throughput 9.25162K wps
[Epoch 37 Batch 60/62] avg loss 0.00901089, throughput 9.12349K wps
Begin Testing...
[Epoch 37] train avg loss 0.00916189, dev acc 0.7345, dev avg loss 0.496313, throughput 9.21512K wps
[Epoch 38 Batch 30/62] avg loss 0.00890501, throughput 9.29348K wps
[Epoch 38 Batch 60/62] avg loss 0.00907297, throughput 9.12434K wps
Begin Testing...
[Epoch 38] train avg loss 0.00909539, dev acc 0.7404, dev avg loss 0.492768, throughput 9.2325K wps
[Epoch 39 Batch 30/62] avg loss 0.00874948, throughput 9.12379K wps
[Epoch 39 Batch 60/62] avg loss 0.00882199, throughput 8.82559K wps
Begin Testing...
[Epoch 39] train avg loss 0.00895667, dev acc 0.7611, dev avg loss 0.486491, throughput 8.99236K wps
Observed Improvement.
Begin Testing...
[Epoch 40 Batch 30/62] avg loss 0.00877526, throughput 9.31788K wps
[Epoch 40 Batch 60/62] avg loss 0.00874203, throughput 9.0106K wps
Begin Testing...
[Epoch 40] train avg loss 0.00885403, dev acc 0.7581, dev avg loss 0.483959, throughput 9.18908K wps
[Epoch 41 Batch 30/62] avg loss 0.00861547, throughput 8.79846K wps
[Epoch 41 Batch 60/62] avg loss 0.00889995, throughput 9.02198K wps
Begin Testing...
[Epoch 41] train avg loss 0.00884213, dev acc 0.7404, dev avg loss 0.48495, throughput 8.94617K wps
[Epoch 42 Batch 30/62] avg loss 0.00846483, throughput 8.97131K wps
[Epoch 42 Batch 60/62] avg loss 0.00893218, throughput 9.11869K wps
Begin Testing...
[Epoch 42] train avg loss 0.00878803, dev acc 0.7463, dev avg loss 0.478549, throughput 9.02522K wps
[Epoch 43 Batch 30/62] avg loss 0.00840737, throughput 8.72396K wps
[Epoch 43 Batch 60/62] avg loss 0.00846597, throughput 8.95584K wps
Begin Testing...
[Epoch 43] train avg loss 0.00852082, dev acc 0.7552, dev avg loss 0.476659, throughput 8.88921K wps
[Epoch 44 Batch 30/62] avg loss 0.00825164, throughput 9.1735K wps
[Epoch 44 Batch 60/62] avg loss 0.0086298, throughput 8.95585K wps
Begin Testing...
[Epoch 44] train avg loss 0.00855496, dev acc 0.7463, dev avg loss 0.475103, throughput 9.0327K wps
[Epoch 45 Batch 30/62] avg loss 0.00841171, throughput 9.07456K wps
[Epoch 45 Batch 60/62] avg loss 0.00830181, throughput 8.92304K wps
Begin Testing...
[Epoch 45] train avg loss 0.00841617, dev acc 0.7581, dev avg loss 0.471742, throughput 9.0567K wps
[Epoch 46 Batch 30/62] avg loss 0.00797359, throughput 8.95727K wps
[Epoch 46 Batch 60/62] avg loss 0.00830619, throughput 9.11829K wps
Begin Testing...
[Epoch 46] train avg loss 0.00823579, dev acc 0.7522, dev avg loss 0.469274, throughput 9.06373K wps
[Epoch 47 Batch 30/62] avg loss 0.008164, throughput 9.15505K wps
[Epoch 47 Batch 60/62] avg loss 0.0080675, throughput 8.90252K wps
Begin Testing...
[Epoch 47] train avg loss 0.00817848, dev acc 0.7670, dev avg loss 0.465227, throughput 9.00252K wps
Observed Improvement.
Begin Testing...
[Epoch 48 Batch 30/62] avg loss 0.00804088, throughput 9.14932K wps
[Epoch 48 Batch 60/62] avg loss 0.007914, throughput 9.05112K wps
Begin Testing...
[Epoch 48] train avg loss 0.00806024, dev acc 0.7699, dev avg loss 0.464078, throughput 9.13131K wps
Observed Improvement.
Begin Testing...
[Epoch 49 Batch 30/62] avg loss 0.00817458, throughput 9.21813K wps
[Epoch 49 Batch 60/62] avg loss 0.00773359, throughput 8.93449K wps
Begin Testing...
[Epoch 49] train avg loss 0.00806214, dev acc 0.7552, dev avg loss 0.459824, throughput 9.05782K wps
[Epoch 50 Batch 30/62] avg loss 0.00823322, throughput 8.93999K wps
[Epoch 50 Batch 60/62] avg loss 0.00775749, throughput 8.95163K wps
Begin Testing...
[Epoch 50] train avg loss 0.00804411, dev acc 0.7729, dev avg loss 0.460917, throughput 8.92001K wps
Observed Improvement.
Begin Testing...
[Epoch 51 Batch 30/62] avg loss 0.00775539, throughput 9.11122K wps
[Epoch 51 Batch 60/62] avg loss 0.00785642, throughput 9.14545K wps
Begin Testing...
[Epoch 51] train avg loss 0.00790299, dev acc 0.7522, dev avg loss 0.456187, throughput 9.14812K wps
[Epoch 52 Batch 30/62] avg loss 0.00780409, throughput 9.30268K wps
[Epoch 52 Batch 60/62] avg loss 0.0077841, throughput 8.82176K wps
Begin Testing...
[Epoch 52] train avg loss 0.00784795, dev acc 0.7552, dev avg loss 0.45388, throughput 9.14103K wps
[Epoch 53 Batch 30/62] avg loss 0.00784294, throughput 9.09104K wps
[Epoch 53 Batch 60/62] avg loss 0.00753989, throughput 8.90841K wps
Begin Testing...
[Epoch 53]