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mongodb-10nodes-results-log.txt
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mongodb-10nodes-results-log.txt
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training time: 00:00:10.59
t 0: train_loss = 1.584, test_acc = 59.044
training time: 00:00:17.94
t 1: train_loss = 0.950, test_acc = 76.333
training time: 00:00:25.29
t 2: train_loss = 0.657, test_acc = 80.933
training time: 00:00:32.74
t 3: train_loss = 0.511, test_acc = 83.211
training time: 00:00:40.18
t 4: train_loss = 0.419, test_acc = 83.744
training time: 00:00:47.81
t 5: train_loss = 0.354, test_acc = 84.700
training time: 00:00:55.25
t 6: train_loss = 0.307, test_acc = 85.289
training time: 00:01:02.59
t 7: train_loss = 0.269, test_acc = 85.478
training time: 00:01:11.01
t 8: train_loss = 0.239, test_acc = 85.611
training time: 00:01:19.47
t 9: train_loss = 0.214, test_acc = 85.756
---------------------------------------------
training time: 00:00:18.11
t 0: train_loss = 0.547, test_acc = 85.467
training time: 00:00:29.37
t 1: train_loss = 0.315, test_acc = 88.556
training time: 00:00:41.18
t 2: train_loss = 0.235, test_acc = 89.678
training time: 00:00:53.93
t 3: train_loss = 0.187, test_acc = 90.667
training time: 00:01:08.22
t 4: train_loss = 0.153, test_acc = 91.211
training time: 00:01:23.07
t 5: train_loss = 0.128, test_acc = 91.378
training time: 00:01:54.32
t 6: train_loss = 0.107, test_acc = 91.489
training time: 00:03:03.53
t 7: train_loss = 0.092, test_acc = 91.756
training time: 00:04:30.95
t 8: train_loss = 0.080, test_acc = 91.856
training time: 00:04:49.55
t 9: train_loss = 0.070, test_acc = 92.000
------------------
training time: 00:00:41.63
t 0: train_loss = 0.273, test_acc = 90.625
training time: 00:01:10.86
t 1: train_loss = 0.097, test_acc = 94.083
training time: 00:01:44.08
t 2: train_loss = 0.061, test_acc = 94.911
training time: 00:03:23.48
t 3: train_loss = 0.046, test_acc = 95.302
training time: 00:06:17.70
t 4: train_loss = 0.038, test_acc = 95.464
training time: 00:09:39.12
t 5: train_loss = 0.032, test_acc = 95.593
training time: 00:14:13.47
t 6: train_loss = 0.028, test_acc = 95.672
training time: 00:21:18.42
t 7: train_loss = 0.025, test_acc = 95.668
training time: 00:29:53.07
t 8: train_loss = 0.022, test_acc = 95.647
training time: 00:37:08.29
t 9: train_loss = 0.020, test_acc = 95.814
------------------------
training time: 00:00:17.91
t 0: train_loss = 0.547, test_acc = 85.467
training time: 00:00:28.91
t 1: train_loss = 0.315, test_acc = 88.556
training time: 00:00:41.14
t 2: train_loss = 0.235, test_acc = 89.678
training time: 00:00:53.98
t 3: train_loss = 0.187, test_acc = 90.667
training time: 00:01:08.83
t 4: train_loss = 0.153, test_acc = 91.211
training time: 00:01:37.42
t 5: train_loss = 0.128, test_acc = 91.378
training time: 00:02:37.13
t 6: train_loss = 0.107, test_acc = 91.489
training time: 00:03:40.66
t 7: train_loss = 0.092, test_acc = 91.756
training time: 00:00:22.02
t 0: train_loss = 0.547, test_acc = 85.467
training time: 00:00:37.87
t 1: train_loss = 0.315, test_acc = 88.556
training time: 00:00:59.57
t 2: train_loss = 0.235, test_acc = 89.678
training time: 00:01:24.92
t 3: train_loss = 0.187, test_acc = 90.667
training time: 00:02:11.26
t 4: train_loss = 0.153, test_acc = 91.211
training time: 00:03:16.21
t 5: train_loss = 0.128, test_acc = 91.378
training time: 00:04:36.41
t 6: train_loss = 0.107, test_acc = 91.489
training time: 00:06:04.83
t 7: train_loss = 0.092, test_acc = 91.756
training time: 00:07:51.15
t 8: train_loss = 0.080, test_acc = 91.856
training time: 00:11:01.82
t 9: train_loss = 0.070, test_acc = 92.000
#############################################
training time: 00:00:18.92
t 0: train_loss = 0.436, test_acc = 88.311
training time: 00:00:31.19
t 1: train_loss = 0.222, test_acc = 91.122
training time: 00:00:43.84
t 2: train_loss = 0.135, test_acc = 92.011
training time: 00:00:59.08
t 3: train_loss = 0.086, test_acc = 92.244
training time: 00:01:16.91
t 4: train_loss = 0.058, test_acc = 92.544
training time: 00:01:39.11
t 5: train_loss = 0.041, test_acc = 92.589
training time: 00:02:36.07
t 6: train_loss = 0.030, test_acc = 92.711
training time: 00:04:35.58
t 7: train_loss = 0.022, test_acc = 92.667
training time: 00:06:57.64
t 8: train_loss = 0.016, test_acc = 92.822
training time: 00:07:23.05
t 9: train_loss = 0.013, test_acc = 92.856
############################