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November 6, 2015 17:25
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alexnet-owt-bn 28 epoch convergence
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2015-03-28 22:57:04.475 Epoch: [1][10000/10000] Time 0.304 DataTime 0.005 Err 3.9184 | |
2015-03-28 22:57:04.476 ==> Validation epoch # 1 | |
2015-03-28 22:58:07.329 json_stats: {"learningRate":0.25,"batchSize":128,"train_loss":4.7269560290813,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3231.9889090061,"test_accuracy":14.646,"weightDecay":0.0005,"epoch":1,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":4.6024402600098,"GPU":1,"retrain":"","train_accuracy":13.362265625,"test_time":62.852720022202,"best_accuracy":0,"bestAccuracy":0,"nGPU":4} | |
-- | |
2015-03-28 23:53:36.332 Epoch: [2][10000/10000] Time 0.286 DataTime 0.006 Err 3.7128 | |
2015-03-28 23:53:36.332 ==> Validation epoch # 2 | |
2015-03-28 23:54:37.711 json_stats: {"learningRate":0.25,"batchSize":128,"train_loss":3.6877586714745,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3214.1851511002,"test_accuracy":16.416,"weightDecay":0.0005,"epoch":2,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":4.5398450604248,"GPU":1,"retrain":"","train_accuracy":25.297109375,"test_time":61.378308057785,"best_accuracy":14.646,"bestAccuracy":14.646,"nGPU":4} | |
-- | |
2015-03-29 00:50:05.798 Epoch: [3][10000/10000] Time 0.292 DataTime 0.007 Err 3.3571 | |
2015-03-29 00:50:05.798 ==> Validation epoch # 3 | |
2015-03-29 00:51:07.383 json_stats: {"learningRate":0.25,"batchSize":128,"train_loss":3.4017986926317,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3208.5485088825,"test_accuracy":20.172,"weightDecay":0.0005,"epoch":3,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":4.1822550595093,"GPU":1,"retrain":"","train_accuracy":29.5790625,"test_time":61.583904027939,"best_accuracy":16.416,"bestAccuracy":16.416,"nGPU":4} | |
-- | |
2015-03-29 01:46:38.740 Epoch: [4][10000/10000] Time 0.300 DataTime 0.005 Err 2.7517 | |
2015-03-29 01:46:38.741 ==> Validation epoch # 4 | |
2015-03-29 01:47:42.137 json_stats: {"learningRate":0.25,"batchSize":128,"train_loss":3.268566340518,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3215.7710521221,"test_accuracy":24.698,"weightDecay":0.0005,"epoch":4,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.7537207952881,"GPU":1,"retrain":"","train_accuracy":31.633984375,"test_time":63.395488023758,"best_accuracy":20.172,"bestAccuracy":20.172,"nGPU":4} | |
-- | |
2015-03-29 02:43:12.348 Epoch: [5][10000/10000] Time 0.305 DataTime 0.005 Err 3.2854 | |
2015-03-29 02:43:12.348 ==> Validation epoch # 5 | |
2015-03-29 02:44:15.389 json_stats: {"learningRate":0.25,"batchSize":128,"train_loss":3.2055463801146,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3218.3788020611,"test_accuracy":18.502,"weightDecay":0.0005,"epoch":5,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":4.4969911218262,"GPU":1,"retrain":"","train_accuracy":32.654609375,"test_time":63.039819955826,"best_accuracy":24.698,"bestAccuracy":24.698,"nGPU":4} | |
-- | |
2015-03-29 03:37:54.701 Epoch: [6][10000/10000] Time 0.305 DataTime 0.005 Err 3.1716 | |
2015-03-29 03:37:54.701 ==> Validation epoch # 6 | |
2015-03-29 03:38:59.390 json_stats: {"learningRate":0.125,"batchSize":128,"train_loss":2.7981454993486,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3219.3110990524,"test_accuracy":28.166,"weightDecay":0.0005,"epoch":6,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.5703157925415,"GPU":1,"retrain":"","train_accuracy":39.620703125,"test_time":64.688045978546,"best_accuracy":24.698,"bestAccuracy":24.698,"nGPU":4} | |
-- | |
2015-03-29 04:34:33.975 Epoch: [7][10000/10000] Time 0.298 DataTime 0.005 Err 2.4798 | |
2015-03-29 04:34:33.975 ==> Validation epoch # 7 | |
2015-03-29 04:35:36.675 json_stats: {"learningRate":0.125,"batchSize":128,"train_loss":2.7594440150738,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3219.6423370838,"test_accuracy":30.954,"weightDecay":0.0005,"epoch":7,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.3442863269043,"GPU":1,"retrain":"","train_accuracy":40.22671875,"test_time":62.699275016785,"best_accuracy":28.166,"bestAccuracy":28.166,"nGPU":4} | |
-- | |
2015-03-29 05:31:10.016 Epoch: [8][10000/10000] Time 0.298 DataTime 0.006 Err 2.7045 | |
2015-03-29 05:31:10.016 ==> Validation epoch # 8 | |
2015-03-29 05:32:11.953 json_stats: {"learningRate":0.125,"batchSize":128,"train_loss":2.7516677828789,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3218.8846490383,"test_accuracy":32.026,"weightDecay":0.0005,"epoch":8,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.2775413897705,"GPU":1,"retrain":"","train_accuracy":40.364140625,"test_time":61.935965776443,"best_accuracy":30.954,"bestAccuracy":30.954,"nGPU":4} | |
-- | |
2015-03-29 06:27:45.171 Epoch: [9][10000/10000] Time 0.304 DataTime 0.005 Err 2.7059 | |
2015-03-29 06:27:45.171 ==> Validation epoch # 9 | |
2015-03-29 06:28:48.269 json_stats: {"learningRate":0.125,"batchSize":128,"train_loss":2.71491881181,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3223.2997422218,"test_accuracy":31.112,"weightDecay":0.0005,"epoch":9,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.3328038800049,"GPU":1,"retrain":"","train_accuracy":40.961796875,"test_time":63.097163915634,"best_accuracy":32.026,"bestAccuracy":32.026,"nGPU":4} | |
-- | |
2015-03-29 07:22:28.652 Epoch: [10][10000/10000] Time 0.295 DataTime 0.006 Err 2.4038 | |
2015-03-29 07:22:28.652 ==> Validation epoch # 10 | |
2015-03-29 07:23:31.650 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.3722760105252,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3220.381788969,"test_accuracy":38.832,"weightDecay":0.0005,"epoch":10,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.8575903343201,"GPU":1,"retrain":"","train_accuracy":47.37671875,"test_time":62.996582984924,"best_accuracy":32.026,"bestAccuracy":32.026,"nGPU":4} | |
-- | |
2015-03-29 08:19:03.091 Epoch: [11][10000/10000] Time 0.293 DataTime 0.005 Err 2.3235 | |
2015-03-29 08:19:03.091 ==> Validation epoch # 11 | |
2015-03-29 08:20:04.781 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.3332267246604,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3218.9521989822,"test_accuracy":34.342,"weightDecay":0.0005,"epoch":11,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.15476315979,"GPU":1,"retrain":"","train_accuracy":48.04390625,"test_time":61.689161062241,"best_accuracy":38.832,"bestAccuracy":38.832,"nGPU":4} | |
-- | |
2015-03-29 09:13:49.869 Epoch: [12][10000/10000] Time 0.295 DataTime 0.006 Err 2.3235 | |
2015-03-29 09:13:49.869 ==> Validation epoch # 12 | |
2015-03-29 09:14:51.330 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.3243193930149,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3225.0869920254,"test_accuracy":39.178,"weightDecay":0.0005,"epoch":12,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.8500267218018,"GPU":1,"retrain":"","train_accuracy":48.197890625,"test_time":61.459764957428,"best_accuracy":38.832,"bestAccuracy":38.832,"nGPU":4} | |
-- | |
2015-03-29 10:10:30.083 Epoch: [13][10000/10000] Time 0.298 DataTime 0.005 Err 2.2070 | |
2015-03-29 10:10:30.083 ==> Validation epoch # 13 | |
2015-03-29 10:11:32.792 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.3097453571796,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3226.0453960896,"test_accuracy":36.15,"weightDecay":0.0005,"epoch":13,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.0318087431335,"GPU":1,"retrain":"","train_accuracy":48.37734375,"test_time":62.708787918091,"best_accuracy":39.178,"bestAccuracy":39.178,"nGPU":4} | |
-- | |
2015-03-29 11:05:21.975 Epoch: [14][10000/10000] Time 0.296 DataTime 0.005 Err 2.1421 | |
2015-03-29 11:05:21.975 ==> Validation epoch # 14 | |
2015-03-29 11:06:25.657 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.2893211562276,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3229.1816151142,"test_accuracy":37.208,"weightDecay":0.0005,"epoch":14,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.9463292849731,"GPU":1,"retrain":"","train_accuracy":48.857890625,"test_time":63.680665016174,"best_accuracy":39.178,"bestAccuracy":39.178,"nGPU":4} | |
-- | |
2015-03-29 12:00:06.830 Epoch: [15][10000/10000] Time 0.304 DataTime 0.005 Err 2.3880 | |
2015-03-29 12:00:06.830 ==> Validation epoch # 15 | |
2015-03-29 12:01:09.383 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.2851174002767,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3221.1723740101,"test_accuracy":39.192,"weightDecay":0.0005,"epoch":15,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.8583017144775,"GPU":1,"retrain":"","train_accuracy":48.905234375,"test_time":62.551955938339,"best_accuracy":39.178,"bestAccuracy":39.178,"nGPU":4} | |
-- | |
2015-03-29 12:56:32.491 Epoch: [16][10000/10000] Time 0.296 DataTime 0.005 Err 2.3957 | |
2015-03-29 12:56:32.492 ==> Validation epoch # 16 | |
2015-03-29 12:57:36.360 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.2674800588846,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3212.2211329937,"test_accuracy":39.402,"weightDecay":0.0005,"epoch":16,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.8413192544556,"GPU":1,"retrain":"","train_accuracy":49.172109375,"test_time":63.86793589592,"best_accuracy":39.192,"bestAccuracy":39.192,"nGPU":4} | |
-- | |
2015-03-29 13:53:00.679 Epoch: [17][10000/10000] Time 0.298 DataTime 0.006 Err 2.1705 | |
2015-03-29 13:53:00.680 ==> Validation epoch # 17 | |
2015-03-29 13:54:04.143 json_stats: {"learningRate":0.0625,"batchSize":128,"train_loss":2.2586416693568,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3215.9750590324,"test_accuracy":36.352,"weightDecay":0.0005,"epoch":17,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":3.0462235324097,"GPU":1,"retrain":"","train_accuracy":49.35390625,"test_time":63.462932825089,"best_accuracy":39.402,"bestAccuracy":39.402,"nGPU":4} | |
-- | |
2015-03-29 14:47:46.575 Epoch: [18][10000/10000] Time 0.303 DataTime 0.005 Err 2.0720 | |
2015-03-29 14:47:46.575 ==> Validation epoch # 18 | |
2015-03-29 14:48:48.445 json_stats: {"learningRate":0.03125,"batchSize":128,"train_loss":1.9890316003203,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3222.430752039,"test_accuracy":45.864,"weightDecay":0.0005,"epoch":18,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.4552314753723,"GPU":1,"retrain":"","train_accuracy":54.78703125,"test_time":61.869523763657,"best_accuracy":39.402,"bestAccuracy":39.402,"nGPU":4} | |
-- | |
2015-03-29 15:44:33.300 Epoch: [19][10000/10000] Time 0.299 DataTime 0.005 Err 2.1736 | |
2015-03-29 15:44:33.300 ==> Validation epoch # 19 | |
2015-03-29 15:45:36.284 json_stats: {"learningRate":0.03125,"batchSize":128,"train_loss":1.9349577751756,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3234.3969240189,"test_accuracy":44.874,"weightDecay":0.0005,"epoch":19,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.5210692712402,"GPU":1,"retrain":"","train_accuracy":55.81671875,"test_time":62.98357796669,"best_accuracy":45.864,"bestAccuracy":45.864,"nGPU":4} | |
-- | |
2015-03-29 16:39:17.216 Epoch: [20][10000/10000] Time 0.300 DataTime 0.005 Err 1.9367 | |
2015-03-29 16:39:17.217 ==> Validation epoch # 20 | |
2015-03-29 16:40:18.901 json_stats: {"learningRate":0.03125,"batchSize":128,"train_loss":1.9275542982697,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3220.9311180115,"test_accuracy":40.948,"weightDecay":0.0005,"epoch":20,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.7599322200012,"GPU":1,"retrain":"","train_accuracy":55.90453125,"test_time":61.683613061905,"best_accuracy":45.864,"bestAccuracy":45.864,"nGPU":4} | |
-- | |
2015-03-29 17:33:57.499 Epoch: [21][10000/10000] Time 0.298 DataTime 0.006 Err 1.7624 | |
2015-03-29 17:33:57.500 ==> Validation epoch # 21 | |
2015-03-29 17:35:00.743 json_stats: {"learningRate":0.015625,"batchSize":128,"train_loss":1.7381913517714,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3218.5973479748,"test_accuracy":48.692,"weightDecay":0.0005,"epoch":21,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.3187217234802,"GPU":1,"retrain":"","train_accuracy":59.9740625,"test_time":63.242594957352,"best_accuracy":45.864,"bestAccuracy":45.864,"nGPU":4} | |
-- | |
2015-03-29 18:30:31.327 Epoch: [22][10000/10000] Time 0.305 DataTime 0.005 Err 1.5926 | |
2015-03-29 18:30:31.327 ==> Validation epoch # 22 | |
2015-03-29 18:31:33.449 json_stats: {"learningRate":0.015625,"batchSize":128,"train_loss":1.6831991268516,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3219.193035841,"test_accuracy":51.558,"weightDecay":0.0005,"epoch":22,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.1477413269043,"GPU":1,"retrain":"","train_accuracy":61.04640625,"test_time":62.120949029922,"best_accuracy":48.692,"bestAccuracy":48.692,"nGPU":4} | |
-- | |
2015-03-29 19:27:04.831 Epoch: [23][10000/10000] Time 0.291 DataTime 0.005 Err 1.8596 | |
2015-03-29 19:27:04.832 ==> Validation epoch # 23 | |
2015-03-29 19:28:07.930 json_stats: {"learningRate":0.015625,"batchSize":128,"train_loss":1.6627892573237,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3217.647288084,"test_accuracy":47.614,"weightDecay":0.0005,"epoch":23,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.3797001724243,"GPU":1,"retrain":"","train_accuracy":61.413125,"test_time":63.097337961197,"best_accuracy":51.558,"bestAccuracy":51.558,"nGPU":4} | |
-- | |
2015-03-29 20:21:51.201 Epoch: [24][10000/10000] Time 0.302 DataTime 0.006 Err 1.5521 | |
2015-03-29 20:21:51.202 ==> Validation epoch # 24 | |
2015-03-29 20:22:53.845 json_stats: {"learningRate":0.0078125,"batchSize":128,"train_loss":1.5320319303513,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3223.2704041004,"test_accuracy":46.392,"weightDecay":0.0005,"epoch":24,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":2.4807056517029,"GPU":1,"retrain":"","train_accuracy":64.316015625,"test_time":62.642802000046,"best_accuracy":51.558,"bestAccuracy":51.558,"nGPU":4} | |
-- | |
2015-03-29 21:16:38.346 Epoch: [25][10000/10000] Time 0.298 DataTime 0.005 Err 1.4376 | |
2015-03-29 21:16:38.347 ==> Validation epoch # 25 | |
2015-03-29 21:17:40.680 json_stats: {"learningRate":0.00390625,"batchSize":128,"train_loss":1.4421010980427,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3224.4998779297,"test_accuracy":55.392,"weightDecay":0.0005,"epoch":25,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":1.956528910141,"GPU":1,"retrain":"","train_accuracy":66.367578125,"test_time":62.332548856735,"best_accuracy":51.558,"bestAccuracy":51.558,"nGPU":4} | |
-- | |
2015-03-29 22:13:10.275 Epoch: [26][10000/10000] Time 0.297 DataTime 0.005 Err 1.3636 | |
2015-03-29 22:13:10.275 ==> Validation epoch # 26 | |
2015-03-29 22:14:11.350 json_stats: {"learningRate":0.00390625,"batchSize":128,"train_loss":1.4054079382777,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3211.9063539505,"test_accuracy":55.544,"weightDecay":0.0005,"epoch":26,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":1.9387985136414,"GPU":1,"retrain":"","train_accuracy":67.221796875,"test_time":61.074208974838,"best_accuracy":55.392,"bestAccuracy":55.392,"nGPU":4} | |
-- | |
2015-03-29 23:09:54.043 Epoch: [27][10000/10000] Time 0.302 DataTime 0.005 Err 1.0119 | |
2015-03-29 23:09:54.044 ==> Validation epoch # 27 | |
2015-03-29 23:10:58.396 json_stats: {"learningRate":0.00390625,"batchSize":128,"train_loss":1.3789734532416,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3231.5410158634,"test_accuracy":55.696,"weightDecay":0.0005,"epoch":27,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":1.9520800552368,"GPU":1,"retrain":"","train_accuracy":67.740234375,"test_time":64.351738214493,"best_accuracy":55.544,"bestAccuracy":55.544,"nGPU":4} | |
-- | |
2015-03-30 00:06:25.895 Epoch: [28][10000/10000] Time 0.303 DataTime 0.005 Err 1.3625 | |
2015-03-30 00:06:25.896 ==> Validation epoch # 28 | |
2015-03-30 00:07:30.323 json_stats: {"learningRate":0.001953125,"batchSize":128,"train_loss":1.3364003612936,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3213.8443651199,"test_accuracy":56.596,"weightDecay":0.0005,"epoch":28,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":1.8982384977722,"GPU":1,"retrain":"","train_accuracy":68.749296875,"test_time":64.426352977753,"best_accuracy":55.696,"bestAccuracy":55.696,"nGPU":4} | |
-- | |
2015-03-30 01:03:14.680 Epoch: [29][10000/10000] Time 0.296 DataTime 0.006 Err 1.5106 | |
2015-03-30 01:03:14.681 ==> Validation epoch # 29 | |
2015-03-30 01:04:16.140 json_stats: {"learningRate":0.001953125,"batchSize":128,"train_loss":1.3174734501898,"manualSeed":1,"msra_mul":0,"decay":0.5,"backend":"cudnn","epochSize":10000,"nDonkeys":16,"train_time":3226.9821109772,"test_accuracy":56.502,"weightDecay":0.0005,"epoch":29,"nEpochs":30,"model":"alexnetowtbn","momentum":0.9,"test_loss":1.9073017436218,"GPU":1,"retrain":"","train_accuracy":69.213671875,"test_time":61.458539962769,"best_accuracy":56.596,"bestAccuracy":56.596,"nGPU":4} |
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