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TrainRecord.txt
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TrainRecord.txt
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C:\Anaconda2\envs\py3\python.exe C:/Users/TiRAM/PycharmProjects/VCheck/Generate_data.py
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cublas64_80.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cudnn64_5.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library cufft64_80.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library nvcuda.dll locally
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:135] successfully opened CUDA library curand64_80.dll locally
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:885] Found device 0 with properties:
name: GeForce GTX 1060
major: 6 minor: 1 memoryClockRate (GHz) 1.6705
pciBusID 0000:01:00.0
Total memory: 6.00GiB
Free memory: 5.01GiB
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:906] DMA: 0
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:916] 0: Y
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0)
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\core\common_runtime\gpu\gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0)
---------------------------------
Run id: alexnet_oxflowers17
Log directory: Board/
---------------------------------
Training samples: 8295
Validation samples: 922
--
Training Step: 1 | time: 2.986s
| Momentum | epoch: 001 | loss: 0.00000 - acc: 0.0000 -- iter: 0045/8295
Training Step: 2 | total loss: 1.66069 | time: 4.697s
| Momentum | epoch: 001 | loss: 1.66069 - acc: 0.1200 -- iter: 0090/8295
1.80809 | time: 6.420s
| Momentum | epoch: 001 | loss: 1.80809 - acc: 0.1127 -- iter: 0135/8295
Training Step: 4 | total loss: 1.75873 | time: 8.209s
| Momentum | epoch: 001 | loss: 1.75873 - acc: 0.2615 -- iter: 0180/8295
Training Step: 5 | total loss: 1.80232 | time: 9.876s
| Momentum | epoch: 001 | loss: 1.80232 - acc: 0.2035 -- iter: 0225/8295
1.79167 | time: 11.598s
| Momentum | epoch: 001 | loss: 1.79167 - acc: 0.2013 -- iter: 0270/8295
Training Step: 7 | total loss: 1.79311 | time: 13.223s
| Momentum | epoch: 001 | loss: 1.79311 - acc: 0.1472 -- iter: 0315/8295
1.79633 | time: 14.926s
| Momentum | epoch: 001 | loss: 1.79633 - acc: 0.1644 -- iter: 0360/8295
Training Step: 9 | total loss: 1.81332 | time: 16.679s
| Momentum | epoch: 001 | loss: 1.81332 - acc: 0.1244 -- iter: 0405/8295
Training Step: 10 | total loss: 1.78279 | time: 18.384s
| Momentum | epoch: 001 | loss: 1.78279 - acc: 0.1511 -- iter: 0450/8295
Training Step: 11 | total loss: 1.75613 | time: 20.080s
| Momentum | epoch: 001 | loss: 1.75613 - acc: 0.2164 -- iter: 0495/8295
Training Step: 12 | total loss: 1.75263 | time: 21.782s
| Momentum | epoch: 001 | loss: 1.75263 - acc: 0.2590 -- iter: 0540/8295
Training Step: 13 | total loss: 1.73328 | time: 23.468s
| Momentum | epoch: 001 | loss: 1.73328 - acc: 0.2813 -- iter: 0585/8295
Training Step: 14 | total loss: 1.71655 | time: 25.162s
| Momentum | epoch: 001 | loss: 1.71655 - acc: 0.2753 -- iter: 0630/8295
Training Step: 15 | total loss: 1.73265 | time: 26.826s
| Momentum | epoch: 001 | loss: 1.73265 - acc: 0.2719 -- iter: 0675/8295
1.72477 | time: 28.500s
| Momentum | epoch: 001 | loss: 1.72477 - acc: 0.2366 -- iter: 0720/8295
1.72865 | time: 30.181s
| Momentum | epoch: 001 | loss: 1.72865 - acc: 0.2394 -- iter: 0765/8295
1.72715 | time: 31.882s
| Momentum | epoch: 001 | loss: 1.72715 - acc: 0.2412 -- iter: 0810/8295
Training Step: 19 | total loss: 1.74703 | time: 33.628s
| Momentum | epoch: 001 | loss: 1.74703 - acc: 0.2274 -- iter: 0855/8295
1.74879 | time: 35.292s
| Momentum | epoch: 001 | loss: 1.74879 - acc: 0.2329 -- iter: 0900/8295
1.73746 | time: 37.016s
| Momentum | epoch: 001 | loss: 1.73746 - acc: 0.2296 -- iter: 0945/8295
Training Step: 22 | total loss: 1.76688 | time: 38.759s
| Momentum | epoch: 001 | loss: 1.76688 - acc: 0.2007 -- iter: 0990/8295
Training Step: 23 | total loss: 1.75149 | time: 40.482s
| Momentum | epoch: 001 | loss: 1.75149 - acc: 0.2005 -- iter: 1035/8295
Training Step: 24 | total loss: 1.74956 | time: 42.216s
| Momentum | epoch: 001 | loss: 1.74956 - acc: 0.2191 -- iter: 1080/8295
1.72397 | time: 43.930s
| Momentum | epoch: 001 | loss: 1.72397 - acc: 0.2381 -- iter: 1125/8295
Training Step: 26 | total loss: 1.72334 | time: 45.627s
| Momentum | epoch: 001 | loss: 1.72334 - acc: 0.2751 -- iter: 1170/8295
Training Step: 27 | total loss: 1.71504 | time: 47.289s
| Momentum | epoch: 001 | loss: 1.71504 - acc: 0.2787 -- iter: 1215/8295
1.70645 | time: 48.915s
| Momentum | epoch: 001 | loss: 1.70645 - acc: 0.2812 -- iter: 1260/8295
1.71464 | time: 50.612s
| Momentum | epoch: 001 | loss: 1.71464 - acc: 0.2723 -- iter: 1305/8295
1.70419 | time: 52.385s
| Momentum | epoch: 001 | loss: 1.70419 - acc: 0.2920 -- iter: 1350/8295
1.71828 | time: 54.128s
| Momentum | epoch: 001 | loss: 1.71828 - acc: 0.2698 -- iter: 1395/8295
Training Step: 32 | total loss: 1.71828 | time: 55.898s
| Momentum | epoch: 001 | loss: 1.71828 - acc: 0.2698 -- iter: 1440/8295
1.70281 | time: 57.556s
| Momentum | epoch: 001 | loss: 1.70281 - acc: 0.2887 -- iter: 1485/8295
Training Step: 34 | total loss: 1.70814 | time: 59.286s
| Momentum | epoch: 001 | loss: 1.70814 - acc: 0.2792 -- iter: 1530/8295
1.69981 | time: 60.958s
| Momentum | epoch: 001 | loss: 1.69981 - acc: 0.2812 -- iter: 1575/8295
1.69240 | time: 62.651s
| Momentum | epoch: 001 | loss: 1.69240 - acc: 0.2919 -- iter: 1620/8295
Training Step: 37 | total loss: 1.70573 | time: 64.334s
| Momentum | epoch: 001 | loss: 1.70573 - acc: 0.2779 -- iter: 1665/8295
Training Step: 38 | total loss: 1.70858 | time: 66.018s
| Momentum | epoch: 001 | loss: 1.70858 - acc: 0.2627 -- iter: 1710/8295
1.70806 | time: 67.734s
| Momentum | epoch: 001 | loss: 1.70806 - acc: 0.2507 -- iter: 1755/8295
1.71765 | time: 69.415s
| Momentum | epoch: 001 | loss: 1.71765 - acc: 0.2370 -- iter: 1800/8295
1.71733 | time: 71.109s
| Momentum | epoch: 001 | loss: 1.71733 - acc: 0.2425 -- iter: 1845/8295
Training Step: 42 | total loss: 1.70671 | time: 72.824s
| Momentum | epoch: 001 | loss: 1.70671 - acc: 0.2468 -- iter: 1890/8295
Training Step: 43 | total loss: 1.71117 | time: 74.523s
| Momentum | epoch: 001 | loss: 1.71117 - acc: 0.2582 -- iter: 1935/8295
Training Step: 44 | total loss: 1.71336 | time: 76.158s
| Momentum | epoch: 001 | loss: 1.71336 - acc: 0.2789 -- iter: 1980/8295
1.70095 | time: 77.903s
| Momentum | epoch: 001 | loss: 1.70095 - acc: 0.2919 -- iter: 2025/8295
Training Step: 46 | total loss: 1.70234 | time: 79.557s
| Momentum | epoch: 001 | loss: 1.70234 - acc: 0.2914 -- iter: 2070/8295
Training Step: 47 | total loss: 1.69827 | time: 81.237s
| Momentum | epoch: 001 | loss: 1.69827 - acc: 0.2801 -- iter: 2115/8295
1.68115 | time: 82.935s
| Momentum | epoch: 001 | loss: 1.68115 - acc: 0.3029 -- iter: 2160/8295
Training Step: 49 | total loss: 1.67416 | time: 84.657s
| Momentum | epoch: 001 | loss: 1.67416 - acc: 0.3112 -- iter: 2205/8295
Training Step: 50 | total loss: 1.66169 | time: 86.399s
| Momentum | epoch: 001 | loss: 1.66169 - acc: 0.3285 -- iter: 2250/8295
Training Step: 51 | total loss: 1.65450 | time: 88.089s
| Momentum | epoch: 001 | loss: 1.65450 - acc: 0.3292 -- iter: 2295/8295
Training Step: 52 | total loss: 1.66381 | time: 89.808s
| Momentum | epoch: 001 | loss: 1.66381 - acc: 0.3198 -- iter: 2340/8295
Training Step: 53 | total loss: 1.66985 | time: 91.434s
| Momentum | epoch: 001 | loss: 1.66985 - acc: 0.2989 -- iter: 2385/8295
Training Step: 54 | total loss: 1.66595 | time: 93.100s
| Momentum | epoch: 001 | loss: 1.66595 - acc: 0.2942 -- iter: 2430/8295
Training Step: 55 | total loss: 1.66761 | time: 94.826s
| Momentum | epoch: 001 | loss: 1.66761 - acc: 0.3157 -- iter: 2475/8295
Training Step: 56 | total loss: 1.65794 | time: 96.557s
| Momentum | epoch: 001 | loss: 1.65794 - acc: 0.3213 -- iter: 2520/8295
1.65136 | time: 98.227s
| Momentum | epoch: 001 | loss: 1.65136 - acc: 0.3014 -- iter: 2565/8295
Training Step: 58 | total loss: 1.65580 | time: 99.863s
| Momentum | epoch: 001 | loss: 1.65580 - acc: 0.2967 -- iter: 2610/8295
Training Step: 59 | total loss: 1.66486 | time: 101.554s
| Momentum | epoch: 001 | loss: 1.66486 - acc: 0.2926 -- iter: 2655/8295
1.66082 | time: 103.344s
| Momentum | epoch: 001 | loss: 1.66082 - acc: 0.2951 -- iter: 2700/8295
Training Step: 61 | total loss: 1.66906 | time: 104.991s
| Momentum | epoch: 001 | loss: 1.66906 - acc: 0.2827 -- iter: 2745/8295
1.67321 | time: 106.683s
| Momentum | epoch: 001 | loss: 1.67321 - acc: 0.2920 -- iter: 2790/8295
1.67744 | time: 108.425s
| Momentum | epoch: 001 | loss: 1.67744 - acc: 0.2888 -- iter: 2835/8295
1.67789 | time: 110.006s
| Momentum | epoch: 001 | loss: 1.67789 - acc: 0.2972 -- iter: 2880/8295
1.66500 | time: 111.755s
| Momentum | epoch: 001 | loss: 1.66500 - acc: 0.3126 -- iter: 2925/8295
Training Step: 66 | total loss: 1.66644 | time: 113.463s
| Momentum | epoch: 001 | loss: 1.66644 - acc: 0.3232 -- iter: 2970/8295
1.66666 | time: 115.213s
| Momentum | epoch: 001 | loss: 1.66666 - acc: 0.3244 -- iter: 3015/8295
Training Step: 68 | total loss: 1.66771 | time: 116.971s
| Momentum | epoch: 001 | loss: 1.66771 - acc: 0.3229 -- iter: 3060/8295
Training Step: 69 | total loss: 1.65308 | time: 118.634s
| Momentum | epoch: 001 | loss: 1.65308 - acc: 0.3345 -- iter: 3105/8295
Training Step: 70 | total loss: 1.65490 | time: 120.347s
| Momentum | epoch: 001 | loss: 1.65490 - acc: 0.3292 -- iter: 3150/8295
Training Step: 71 | total loss: 1.64596 | time: 122.088s
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Training Step: 72 | total loss: 1.65204 | time: 123.824s
| Momentum | epoch: 001 | loss: 1.65204 - acc: 0.3201 -- iter: 3240/8295
Training Step: 73 | total loss: 1.64500 | time: 125.476s
| Momentum | epoch: 001 | loss: 1.64500 - acc: 0.3265 -- iter: 3285/8295
Training Step: 74 | total loss: 1.64200 | time: 127.183s
| Momentum | epoch: 001 | loss: 1.64200 - acc: 0.3273 -- iter: 3330/8295
Training Step: 75 | total loss: 1.64749 | time: 128.936s
| Momentum | epoch: 001 | loss: 1.64749 - acc: 0.3207 -- iter: 3375/8295
Training Step: 76 | total loss: 1.63846 | time: 130.704s
| Momentum | epoch: 001 | loss: 1.63846 - acc: 0.3268 -- iter: 3420/8295
1.64124 | time: 132.417s
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Training Step: 79 | total loss: 1.64503 | time: 135.809s
| Momentum | epoch: 001 | loss: 1.64503 - acc: 0.3332 -- iter: 3555/8295
Training Step: 80 | total loss: 1.64605 | time: 137.435s
| Momentum | epoch: 001 | loss: 1.64605 - acc: 0.3219 -- iter: 3600/8295
1.64336 | time: 139.075s
| Momentum | epoch: 001 | loss: 1.64336 - acc: 0.3230 -- iter: 3645/8295
Training Step: 82 | total loss: 1.64064 | time: 140.758s
| Momentum | epoch: 001 | loss: 1.64064 - acc: 0.3307 -- iter: 3690/8295
1.62573 | time: 142.493s
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Training Step: 84 | total loss: 1.62337 | time: 144.184s
| Momentum | epoch: 001 | loss: 1.62337 - acc: 0.3608 -- iter: 3780/8295
1.62205 | time: 145.926s
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Training Step: 86 | total loss: 1.61453 | time: 147.691s
| Momentum | epoch: 001 | loss: 1.61453 - acc: 0.3656 -- iter: 3870/8295
Training Step: 87 | total loss: 1.61052 | time: 149.344s
| Momentum | epoch: 001 | loss: 1.61052 - acc: 0.3601 -- iter: 3915/8295
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Training Step: 89 | total loss: 1.61307 | time: 152.811s
| Momentum | epoch: 001 | loss: 1.61307 - acc: 0.3570 -- iter: 4005/8295
Training Step: 90 | total loss: 1.60168 | time: 154.520s
| Momentum | epoch: 001 | loss: 1.60168 - acc: 0.3591 -- iter: 4050/8295
Training Step: 91 | total loss: 1.61413 | time: 156.255s
| Momentum | epoch: 001 | loss: 1.61413 - acc: 0.3476 -- iter: 4095/8295
1.60333 | time: 158.007s
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Training Step: 93 | total loss: 1.60527 | time: 159.659s
| Momentum | epoch: 001 | loss: 1.60527 - acc: 0.3674 -- iter: 4185/8295
Training Step: 94 | total loss: 1.59786 | time: 161.367s
| Momentum | epoch: 001 | loss: 1.59786 - acc: 0.3684 -- iter: 4230/8295
1.59462 | time: 163.114s
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| Momentum | epoch: 001 | loss: 1.58420 - acc: 0.3766 -- iter: 4320/8295
Training Step: 97 | total loss: 1.56833 | time: 166.759s
| Momentum | epoch: 001 | loss: 1.56833 - acc: 0.3945 -- iter: 4365/8295
1.57875 | time: 168.688s
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Training Step: 99 | total loss: 1.57406 | time: 170.431s
| Momentum | epoch: 001 | loss: 1.57406 - acc: 0.3987 -- iter: 4455/8295
Training Step: 100 | total loss: 1.55237 | time: 172.105s
| Momentum | epoch: 001 | loss: 1.55237 - acc: 0.4210 -- iter: 4500/8295
Training Step: 101 | total loss: 1.55866 | time: 174.073s
| Momentum | epoch: 001 | loss: 1.55866 - acc: 0.4145 -- iter: 4545/8295
Training Step: 102 | total loss: 1.54806 | time: 175.861s
| Momentum | epoch: 001 | loss: 1.54806 - acc: 0.4241 -- iter: 4590/8295
Training Step: 103 | total loss: 1.54537 | time: 177.770s
| Momentum | epoch: 001 | loss: 1.54537 - acc: 0.4217 -- iter: 4635/8295
1.54631 | time: 179.521s
| Momentum | epoch: 001 | loss: 1.54631 - acc: 0.4173 -- iter: 4680/8295
Training Step: 105 | total loss: 1.55118 | time: 181.258s
| Momentum | epoch: 001 | loss: 1.55118 - acc: 0.4112 -- iter: 4725/8295
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| Momentum | epoch: 001 | loss: 1.54110 - acc: 0.4216 -- iter: 4860/8295
Training Step: 109 | total loss: 1.54110 | time: 188.057s
| Momentum | epoch: 001 | loss: 1.54110 - acc: 0.4216 -- iter: 4905/8295
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Training Step: 113 | total loss: 1.52968 | time: 194.934s
| Momentum | epoch: 001 | loss: 1.52968 - acc: 0.4194 -- iter: 5085/8295
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Training Step: 116 | total loss: 1.50357 | time: 200.032s
| Momentum | epoch: 001 | loss: 1.50357 - acc: 0.4394 -- iter: 5220/8295
Training Step: 117 | total loss: 1.50780 | time: 201.786s
| Momentum | epoch: 001 | loss: 1.50780 - acc: 0.4421 -- iter: 5265/8295
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Training Step: 121 | total loss: 1.53283 | time: 208.666s
| Momentum | epoch: 001 | loss: 1.53283 - acc: 0.4212 -- iter: 5445/8295
Training Step: 122 | total loss: 1.50960 | time: 210.307s
| Momentum | epoch: 001 | loss: 1.50960 - acc: 0.4302 -- iter: 5490/8295
Training Step: 123 | total loss: 1.50785 | time: 212.008s
| Momentum | epoch: 001 | loss: 1.50785 - acc: 0.4249 -- iter: 5535/8295
Training Step: 124 | total loss: 1.50448 | time: 213.740s
| Momentum | epoch: 001 | loss: 1.50448 - acc: 0.4313 -- iter: 5580/8295
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Training Step: 126 | total loss: 1.48478 | time: 216.929s
| Momentum | epoch: 001 | loss: 1.48478 - acc: 0.4549 -- iter: 5670/8295
Training Step: 127 | total loss: 1.49369 | time: 218.699s
| Momentum | epoch: 001 | loss: 1.49369 - acc: 0.4472 -- iter: 5715/8295
Training Step: 128 | total loss: 1.49645 | time: 220.394s
| Momentum | epoch: 001 | loss: 1.49645 - acc: 0.4469 -- iter: 5760/8295
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Training Step: 134 | total loss: 1.51115 | time: 230.793s
| Momentum | epoch: 001 | loss: 1.51115 - acc: 0.4641 -- iter: 6030/8295
Training Step: 135 | total loss: 1.51151 | time: 232.524s
| Momentum | epoch: 001 | loss: 1.51151 - acc: 0.4577 -- iter: 6075/8295
Training Step: 136 | total loss: 1.49849 | time: 234.159s
| Momentum | epoch: 001 | loss: 1.49849 - acc: 0.4674 -- iter: 6120/8295
Training Step: 137 | total loss: 1.50103 | time: 235.848s
| Momentum | epoch: 001 | loss: 1.50103 - acc: 0.4607 -- iter: 6165/8295
Training Step: 138 | total loss: 1.49263 | time: 237.609s
| Momentum | epoch: 001 | loss: 1.49263 - acc: 0.4657 -- iter: 6210/8295
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Training Step: 140 | total loss: 1.50098 | time: 241.024s
| Momentum | epoch: 001 | loss: 1.50098 - acc: 0.4459 -- iter: 6300/8295
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Training Step: 144 | total loss: 1.50859 | time: 247.860s
| Momentum | epoch: 001 | loss: 1.50859 - acc: 0.4522 -- iter: 6480/8295
Training Step: 145 | total loss: 1.48852 | time: 249.599s
| Momentum | epoch: 001 | loss: 1.48852 - acc: 0.4581 -- iter: 6525/8295
Training Step: 146 | total loss: 1.47541 | time: 251.279s
| Momentum | epoch: 001 | loss: 1.47541 - acc: 0.4612 -- iter: 6570/8295
Training Step: 147 | total loss: 1.45950 | time: 252.937s
| Momentum | epoch: 001 | loss: 1.45950 - acc: 0.4706 -- iter: 6615/8295
1.46643 | time: 254.689s
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Training Step: 149 | total loss: 1.45692 | time: 256.325s
| Momentum | epoch: 001 | loss: 1.45692 - acc: 0.4639 -- iter: 6705/8295
1.44791 | time: 258.092s
| Momentum | epoch: 001 | loss: 1.44791 - acc: 0.4641 -- iter: 6750/8295
Training Step: 151 | total loss: 1.44330 | time: 259.732s
| Momentum | epoch: 001 | loss: 1.44330 - acc: 0.4688 -- iter: 6795/8295
1.46331 | time: 261.447s
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Training Step: 153 | total loss: 1.46271 | time: 263.201s
| Momentum | epoch: 001 | loss: 1.46271 - acc: 0.4564 -- iter: 6885/8295
Training Step: 154 | total loss: 1.51423 | time: 264.787s
| Momentum | epoch: 001 | loss: 1.51423 - acc: 0.4286 -- iter: 6930/8295
Training Step: 155 | total loss: 1.51301 | time: 266.480s
| Momentum | epoch: 001 | loss: 1.51301 - acc: 0.4324 -- iter: 6975/8295
Training Step: 156 | total loss: 1.50915 | time: 268.199s
| Momentum | epoch: 001 | loss: 1.50915 - acc: 0.4291 -- iter: 7020/8295
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| Momentum | epoch: 001 | loss: 1.49410 - acc: 0.4351 -- iter: 7065/8295
1.48069 | time: 271.468s
| Momentum | epoch: 001 | loss: 1.48069 - acc: 0.4316 -- iter: 7110/8295
Training Step: 159 | total loss: 1.47169 | time: 273.200s
| Momentum | epoch: 001 | loss: 1.47169 - acc: 0.4373 -- iter: 7155/8295
1.46801 | time: 274.888s
| Momentum | epoch: 001 | loss: 1.46801 - acc: 0.4403 -- iter: 7200/8295
Training Step: 161 | total loss: 1.45056 | time: 276.608s
| Momentum | epoch: 001 | loss: 1.45056 - acc: 0.4496 -- iter: 7245/8295
1.44648 | time: 278.380s
| Momentum | epoch: 001 | loss: 1.44648 - acc: 0.4579 -- iter: 7290/8295
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Training Step: 164 | total loss: 1.45214 | time: 281.729s
| Momentum | epoch: 001 | loss: 1.45214 - acc: 0.4565 -- iter: 7380/8295
Training Step: 165 | total loss: 1.45650 | time: 283.451s
| Momentum | epoch: 001 | loss: 1.45650 - acc: 0.4531 -- iter: 7425/8295
Training Step: 166 | total loss: 1.44491 | time: 285.239s
| Momentum | epoch: 001 | loss: 1.44491 - acc: 0.4566 -- iter: 7470/8295
Training Step: 167 | total loss: 1.43775 | time: 286.969s
| Momentum | epoch: 001 | loss: 1.43775 - acc: 0.4576 -- iter: 7515/8295
Training Step: 168 | total loss: 1.43395 | time: 288.713s
| Momentum | epoch: 001 | loss: 1.43395 - acc: 0.4652 -- iter: 7560/8295
Training Step: 169 | total loss: 1.41702 | time: 290.345s
| Momentum | epoch: 001 | loss: 1.41702 - acc: 0.4765 -- iter: 7605/8295
Training Step: 170 | total loss: 1.41369 | time: 291.979s
| Momentum | epoch: 001 | loss: 1.41369 - acc: 0.4844 -- iter: 7650/8295
Training Step: 171 | total loss: 1.41681 | time: 293.660s
| Momentum | epoch: 001 | loss: 1.41681 - acc: 0.4782 -- iter: 7695/8295
Training Step: 172 | total loss: 1.40443 | time: 295.392s
| Momentum | epoch: 001 | loss: 1.40443 - acc: 0.4903 -- iter: 7740/8295
Training Step: 173 | total loss: 1.41246 | time: 297.103s
| Momentum | epoch: 001 | loss: 1.41246 - acc: 0.5047 -- iter: 7785/8295
Training Step: 174 | total loss: 1.41246 | time: 298.803s
| Momentum | epoch: 001 | loss: 1.41246 - acc: 0.5047 -- iter: 7830/8295
1.42007 | time: 300.540s
| Momentum | epoch: 001 | loss: 1.42007 - acc: 0.5076 -- iter: 7875/8295
Training Step: 176 | total loss: 1.41368 | time: 302.290s
| Momentum | epoch: 001 | loss: 1.41368 - acc: 0.4968 -- iter: 7920/8295
Training Step: 177 | total loss: 1.40213 | time: 304.008s
| Momentum | epoch: 001 | loss: 1.40213 - acc: 0.4960 -- iter: 7965/8295
1.39366 | time: 305.755s
| Momentum | epoch: 001 | loss: 1.39366 - acc: 0.4931 -- iter: 8010/8295
Training Step: 179 | total loss: 1.40274 | time: 307.510s
| Momentum | epoch: 001 | loss: 1.40274 - acc: 0.4927 -- iter: 8055/8295
1.39465 | time: 309.141s
| Momentum | epoch: 001 | loss: 1.39465 - acc: 0.4856 -- iter: 8100/8295
Training Step: 181 | total loss: 1.37222 | time: 310.884s
| Momentum | epoch: 001 | loss: 1.37222 - acc: 0.5037 -- iter: 8145/8295
Training Step: 182 | total loss: 1.36332 | time: 312.594s
| Momentum | epoch: 001 | loss: 1.36332 - acc: 0.4978 -- iter: 8190/8295
1.35890 | time: 314.317s
| Momentum | epoch: 001 | loss: 1.35890 - acc: 0.5058 -- iter: 8235/8295
Training Step: 184 | total loss: 1.36013 | time: 316.021s
| Momentum | epoch: 001 | loss: 1.36013 - acc: 0.5152 -- iter: 8280/8295
Training Step: 185 | total loss: 1.34191 | time: 319.216s
| Momentum | epoch: 001 | loss: 1.34191 - acc: 0.5193 | val_loss: 1.31794 - val_acc: 0.5412 -- iter: 8295/8295
--
1.33563 | time: 1.498s
| Momentum | epoch: 002 | loss: 1.33563 - acc: 0.5273 -- iter: 0045/8295
1.32532 | time: 3.174s
| Momentum | epoch: 002 | loss: 1.32532 - acc: 0.5213 -- iter: 0090/8295
Training Step: 188 | total loss: 1.31143 | time: 4.976s
| Momentum | epoch: 002 | loss: 1.31143 - acc: 0.5314 -- iter: 0135/8295
1.31301 | time: 6.684s
| Momentum | epoch: 002 | loss: 1.31301 - acc: 0.5293 -- iter: 0180/8295
Training Step: 190 | total loss: 1.32053 | time: 8.491s
| Momentum | epoch: 002 | loss: 1.32053 - acc: 0.5253 -- iter: 0225/8295
1.32236 | time: 10.182s
| Momentum | epoch: 002 | loss: 1.32236 - acc: 0.5194 -- iter: 0270/8295
Training Step: 192 | total loss: 1.32508 | time: 11.953s
| Momentum | epoch: 002 | loss: 1.32508 - acc: 0.5186 -- iter: 0315/8295
Training Step: 193 | total loss: 1.31530 | time: 13.733s
| Momentum | epoch: 002 | loss: 1.31530 - acc: 0.5201 -- iter: 0360/8295
Training Step: 194 | total loss: 1.31476 | time: 15.465s
| Momentum | epoch: 002 | loss: 1.31476 - acc: 0.5214 -- iter: 0405/8295
1.33192 | time: 17.088s
| Momentum | epoch: 002 | loss: 1.33192 - acc: 0.5093 -- iter: 0450/8295
Training Step: 196 | total loss: 1.31516 | time: 18.852s
| Momentum | epoch: 002 | loss: 1.31516 - acc: 0.5272 -- iter: 0495/8295
1.31667 | time: 20.510s
| Momentum | epoch: 002 | loss: 1.31667 - acc: 0.5212 -- iter: 0540/8295
Training Step: 198 | total loss: 1.30680 | time: 22.227s
| Momentum | epoch: 002 | loss: 1.30680 - acc: 0.5208 -- iter: 0585/8295
Training Step: 199 | total loss: 1.30680 | time: 23.944s
| Momentum | epoch: 002 | loss: 1.30680 - acc: 0.5208 -- iter: 0630/8295
1.29115 | time: 25.668s
| Momentum | epoch: 002 | loss: 1.29115 - acc: 0.5287 -- iter: 0675/8295
1.27252 | time: 27.356s
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1.26404 | time: 29.151s
| Momentum | epoch: 002 | loss: 1.26404 - acc: 0.5483 -- iter: 0765/8295
1.28311 | time: 30.927s
| Momentum | epoch: 002 | loss: 1.28311 - acc: 0.5357 -- iter: 0810/8295
Training Step: 204 | total loss: 1.26105 | time: 32.773s
| Momentum | epoch: 002 | loss: 1.26105 - acc: 0.5510 -- iter: 0855/8295
Training Step: 205 | total loss: 1.25488 | time: 34.681s
| Momentum | epoch: 002 | loss: 1.25488 - acc: 0.5426 -- iter: 0900/8295
Training Step: 206 | total loss: 1.27502 | time: 36.616s
| Momentum | epoch: 002 | loss: 1.27502 - acc: 0.5327 -- iter: 0945/8295
Training Step: 207 | total loss: 1.28921 | time: 38.363s
| Momentum | epoch: 002 | loss: 1.28921 - acc: 0.5217 -- iter: 0990/8295
1.30673 | time: 40.122s
| Momentum | epoch: 002 | loss: 1.30673 - acc: 0.5229 -- iter: 1035/8295
Training Step: 209 | total loss: 1.31116 | time: 41.916s
| Momentum | epoch: 002 | loss: 1.31116 - acc: 0.5172 -- iter: 1080/8295
Training Step: 210 | total loss: 1.32205 | time: 43.785s
| Momentum | epoch: 002 | loss: 1.32205 - acc: 0.5166 -- iter: 1125/8295
1.33524 | time: 45.483s
| Momentum | epoch: 002 | loss: 1.33524 - acc: 0.5050 -- iter: 1170/8295
1.34471 | time: 47.194s
| Momentum | epoch: 002 | loss: 1.34471 - acc: 0.4945 -- iter: 1215/8295
Training Step: 213 | total loss: 1.34640 | time: 48.951s
| Momentum | epoch: 002 | loss: 1.34640 - acc: 0.4984 -- iter: 1260/8295
Training Step: 214 | total loss: 1.33247 | time: 50.683s
| Momentum | epoch: 002 | loss: 1.33247 - acc: 0.5063 -- iter: 1305/8295
1.32984 | time: 52.410s
| Momentum | epoch: 002 | loss: 1.32984 - acc: 0.5112 -- iter: 1350/8295
1.34372 | time: 54.156s
| Momentum | epoch: 002 | loss: 1.34372 - acc: 0.5194 -- iter: 1395/8295
1.34372 | time: 55.889s
| Momentum | epoch: 002 | loss: 1.34372 - acc: 0.5194 -- iter: 1440/8295
Training Step: 218 | total loss: 1.32087 | time: 57.627s
| Momentum | epoch: 002 | loss: 1.32087 - acc: 0.5319 -- iter: 1485/8295
Training Step: 219 | total loss: 1.31982 | time: 59.330s
| Momentum | epoch: 002 | loss: 1.31982 - acc: 0.5210 -- iter: 1530/8295
Training Step: 220 | total loss: 1.31257 | time: 61.030s
| Momentum | epoch: 002 | loss: 1.31257 - acc: 0.5311 -- iter: 1575/8295
Training Step: 221 | total loss: 1.32594 | time: 62.707s
| Momentum | epoch: 002 | loss: 1.32594 - acc: 0.5266 -- iter: 1620/8295
Training Step: 222 | total loss: 1.30573 | time: 64.436s
| Momentum | epoch: 002 | loss: 1.30573 - acc: 0.5251 -- iter: 1665/8295
1.30573 | time: 66.190s
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1.31462 | time: 67.974s
| Momentum | epoch: 002 | loss: 1.31462 - acc: 0.5126 -- iter: 1755/8295
1.30861 | time: 69.714s
| Momentum | epoch: 002 | loss: 1.30861 - acc: 0.5080 -- iter: 1800/8295
1.32429 | time: 71.605s
| Momentum | epoch: 002 | loss: 1.32429 - acc: 0.4972 -- iter: 1845/8295
1.33646 | time: 73.389s
| Momentum | epoch: 002 | loss: 1.33646 - acc: 0.4919 -- iter: 1890/8295
1.32690 | time: 75.178s
| Momentum | epoch: 002 | loss: 1.32690 - acc: 0.5005 -- iter: 1935/8295
Training Step: 229 | total loss: 1.32201 | time: 77.008s
| Momentum | epoch: 002 | loss: 1.32201 - acc: 0.5038 -- iter: 1980/8295
1.31355 | time: 78.666s
| Momentum | epoch: 002 | loss: 1.31355 - acc: 0.5067 -- iter: 2025/8295
1.30564 | time: 80.375s
| Momentum | epoch: 002 | loss: 1.30564 - acc: 0.5205 -- iter: 2070/8295
Training Step: 232 | total loss: 1.29917 | time: 82.072s
| Momentum | epoch: 002 | loss: 1.29917 - acc: 0.5240 -- iter: 2115/8295
Training Step: 233 | total loss: 1.29201 | time: 83.870s
| Momentum | epoch: 002 | loss: 1.29201 - acc: 0.5272 -- iter: 2160/8295
Training Step: 234 | total loss: 1.30236 | time: 85.558s
| Momentum | epoch: 002 | loss: 1.30236 - acc: 0.5211 -- iter: 2205/8295
Training Step: 235 | total loss: 1.28763 | time: 87.303s
| Momentum | epoch: 002 | loss: 1.28763 - acc: 0.5246 -- iter: 2250/8295
Training Step: 236 | total loss: 1.27381 | time: 89.036s
| Momentum | epoch: 002 | loss: 1.27381 - acc: 0.5321 -- iter: 2295/8295
Training Step: 237 | total loss: 1.28006 | time: 90.776s
| Momentum | epoch: 002 | loss: 1.28006 - acc: 0.5278 -- iter: 2340/8295
1.29962 | time: 92.494s
| Momentum | epoch: 002 | loss: 1.29962 - acc: 0.5172 -- iter: 2385/8295
Training Step: 239 | total loss: 1.28850 | time: 94.252s
| Momentum | epoch: 002 | loss: 1.28850 - acc: 0.5210 -- iter: 2430/8295
1.28850 | time: 96.025s
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| Momentum | epoch: 002 | loss: 1.28455 - acc: 0.5200 -- iter: 2520/8295
Training Step: 242 | total loss: 1.29816 | time: 99.513s
| Momentum | epoch: 002 | loss: 1.29816 - acc: 0.5235 -- iter: 2565/8295
1.27287 | time: 101.228s
| Momentum | epoch: 002 | loss: 1.27287 - acc: 0.5378 -- iter: 2610/8295
Training Step: 244 | total loss: 1.27287 | time: 102.860s
| Momentum | epoch: 002 | loss: 1.27287 - acc: 0.5441 -- iter: 2655/8295
1.26439 | time: 104.708s
| Momentum | epoch: 002 | loss: 1.26439 - acc: 0.5497 -- iter: 2700/8295
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1.24606 | time: 108.062s
| Momentum | epoch: 002 | loss: 1.24606 - acc: 0.5650 -- iter: 2790/8295
Training Step: 248 | total loss: 1.25833 | time: 109.817s
| Momentum | epoch: 002 | loss: 1.25833 - acc: 0.5618 -- iter: 2835/8295
Training Step: 249 | total loss: 1.26892 | time: 111.515s
| Momentum | epoch: 002 | loss: 1.26892 - acc: 0.5501 -- iter: 2880/8295
Training Step: 250 | total loss: 1.28762 | time: 113.211s
| Momentum | epoch: 002 | loss: 1.28762 - acc: 0.5284 -- iter: 2925/8295
Training Step: 251 | total loss: 1.29223 | time: 114.953s
| Momentum | epoch: 002 | loss: 1.29223 - acc: 0.5267 -- iter: 2970/8295
1.27501 | time: 116.608s
| Momentum | epoch: 002 | loss: 1.27501 - acc: 0.5385 -- iter: 3015/8295
Training Step: 253 | total loss: 1.26371 | time: 118.365s
| Momentum | epoch: 002 | loss: 1.26371 - acc: 0.5468 -- iter: 3060/8295
Training Step: 254 | total loss: 1.27932 | time: 120.200s
| Momentum | epoch: 002 | loss: 1.27932 - acc: 0.5322 -- iter: 3105/8295
1.29170 | time: 121.832s
| Momentum | epoch: 002 | loss: 1.29170 - acc: 0.5256 -- iter: 3150/8295
Training Step: 256 | total loss: 1.28197 | time: 123.510s
| Momentum | epoch: 002 | loss: 1.28197 - acc: 0.5242 -- iter: 3195/8295
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1.25294 | time: 130.468s
| Momentum | epoch: 002 | loss: 1.25294 - acc: 0.5658 -- iter: 3375/8295
1.25386 | time: 132.296s
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1.26697 | time: 134.026s
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1.26004 | time: 135.717s
| Momentum | epoch: 002 | loss: 1.26004 - acc: 0.5657 -- iter: 3510/8295
Training Step: 264 | total loss: 1.26161 | time: 137.503s
| Momentum | epoch: 002 | loss: 1.26161 - acc: 0.5758 -- iter: 3555/8295
| time: 139.229s
| Momentum | epoch: 002 | loss: 1.26161 - acc: 0.5693 -- iter: 3600/8295
Training Step: 266 | total loss: 1.26008 | time: 140.963s
| Momentum | epoch: 002 | loss: 1.26008 - acc: 0.5701 -- iter: 3645/8295
Training Step: 267 | total loss: 1.24592 | time: 142.693s
| Momentum | epoch: 002 | loss: 1.24592 - acc: 0.5798 -- iter: 3690/8295
Training Step: 268 | total loss: 1.22770 | time: 144.457s
| Momentum | epoch: 002 | loss: 1.22770 - acc: 0.5840 -- iter: 3735/8295
Training Step: 269 | total loss: 1.21952 | time: 146.205s
| Momentum | epoch: 002 | loss: 1.21952 - acc: 0.5879 -- iter: 3780/8295
Training Step: 270 | total loss: 1.24362 | time: 147.953s
| Momentum | epoch: 002 | loss: 1.24362 - acc: 0.5846 -- iter: 3825/8295
Training Step: 271 | total loss: 1.23918 | time: 149.687s
| Momentum | epoch: 002 | loss: 1.23918 - acc: 0.5817 -- iter: 3870/8295
Training Step: 272 | total loss: 1.24763 | time: 151.392s
| Momentum | epoch: 002 | loss: 1.24763 - acc: 0.5769 -- iter: 3915/8295
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| Momentum | epoch: 002 | loss: 1.21823 - acc: 0.5911 -- iter: 4095/8295
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| Momentum | epoch: 002 | loss: 1.21823 - acc: 0.5911 -- iter: 4140/8295
| time: 161.854s
| Momentum | epoch: 002 | loss: 1.21702 - acc: 0.5920 -- iter: 4185/8295
Training Step: 279 | total loss: 1.21505 | time: 163.671s
| Momentum | epoch: 002 | loss: 1.21505 - acc: 0.5950 -- iter: 4230/8295
1.20869 | time: 165.389s
| Momentum | epoch: 002 | loss: 1.20869 - acc: 0.5999 -- iter: 4275/8295
Training Step: 281 | total loss: 1.19312 | time: 167.110s
| Momentum | epoch: 002 | loss: 1.19312 - acc: 0.6088 -- iter: 4320/8295
1.19445 | time: 168.910s
| Momentum | epoch: 002 | loss: 1.19445 - acc: 0.6079 -- iter: 4365/8295
Training Step: 283 | total loss: 1.20632 | time: 170.668s
| Momentum | epoch: 002 | loss: 1.20632 - acc: 0.5962 -- iter: 4410/8295
1.20632 | time: 172.371s
| Momentum | epoch: 002 | loss: 1.20632 - acc: 0.5962 -- iter: 4455/8295
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| Momentum | epoch: 002 | loss: 1.21234 - acc: 0.6010 -- iter: 4500/8295
Training Step: 286 | total loss: 1.21659 | time: 175.814s
| Momentum | epoch: 002 | loss: 1.21659 - acc: 0.6054 -- iter: 4545/8295
1.22566 | time: 177.579s
| Momentum | epoch: 002 | loss: 1.22566 - acc: 0.6071 -- iter: 4590/8295
Training Step: 288 | total loss: 1.23344 | time: 179.286s
| Momentum | epoch: 002 | loss: 1.23344 - acc: 0.6086 -- iter: 4635/8295
1.23344 | time: 181.044s
| Momentum | epoch: 002 | loss: 1.23344 - acc: 0.5988 -- iter: 4680/8295
Training Step: 290 | total loss: 1.23555 | time: 182.793s
| Momentum | epoch: 002 | loss: 1.23555 - acc: 0.5923 -- iter: 4725/8295
Training Step: 291 | total loss: 1.24134 | time: 184.496s
| Momentum | epoch: 002 | loss: 1.24134 - acc: 0.5842 -- iter: 4770/8295
Training Step: 292 | total loss: 1.22827 | time: 186.225s
| Momentum | epoch: 002 | loss: 1.22827 - acc: 0.5857 -- iter: 4815/8295
Training Step: 293 | total loss: 1.22861 | time: 187.988s
| Momentum | epoch: 002 | loss: 1.22861 - acc: 0.5827 -- iter: 4860/8295
1.23522 | time: 189.796s
| Momentum | epoch: 002 | loss: 1.23522 - acc: 0.5778 -- iter: 4905/8295
Training Step: 295 | total loss: 1.21760 | time: 191.484s
| Momentum | epoch: 002 | loss: 1.21760 - acc: 0.5778 -- iter: 4950/8295
1.21760 | time: 193.252s
| Momentum | epoch: 002 | loss: 1.21760 - acc: 0.5867 -- iter: 4995/8295
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| Momentum | epoch: 002 | loss: 1.20363 - acc: 0.5969 -- iter: 5040/8295
Training Step: 298 | total loss: 1.20508 | time: 196.729s
| Momentum | epoch: 002 | loss: 1.20508 - acc: 0.5950 -- iter: 5085/8295
1.19830 | time: 198.514s
| Momentum | epoch: 002 | loss: 1.19830 - acc: 0.5755 -- iter: 5130/8295
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| Momentum | epoch: 002 | loss: 1.20759 - acc: 0.5713 -- iter: 5175/8295
Training Step: 301 | total loss: 1.19927 | time: 201.849s
| Momentum | epoch: 002 | loss: 1.19927 - acc: 0.5786 -- iter: 5220/8295
1.19302 | time: 203.631s
| Momentum | epoch: 002 | loss: 1.19302 - acc: 0.5896 -- iter: 5265/8295
Training Step: 303 | total loss: 1.20630 | time: 205.340s
| Momentum | epoch: 002 | loss: 1.20630 - acc: 0.5729 -- iter: 5310/8295
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1.21446 | time: 208.667s
| Momentum | epoch: 002 | loss: 1.21446 - acc: 0.5643 -- iter: 5400/8295
Training Step: 306 | total loss: 1.20586 | time: 210.404s
| Momentum | epoch: 002 | loss: 1.20586 - acc: 0.5701 -- iter: 5445/8295
Training Step: 307 | total loss: 1.19363 | time: 212.121s
| Momentum | epoch: 002 | loss: 1.19363 - acc: 0.5886 -- iter: 5490/8295
Training Step: 308 | total loss: 1.18781 | time: 213.853s
| Momentum | epoch: 002 | loss: 1.18781 - acc: 0.5920 -- iter: 5535/8295
Training Step: 309 | total loss: 1.17191 | time: 215.569s
| Momentum | epoch: 002 | loss: 1.17191 - acc: 0.5994 -- iter: 5580/8295
Training Step: 310 | total loss: 1.15731 | time: 217.244s
| Momentum | epoch: 002 | loss: 1.15731 - acc: 0.6039 -- iter: 5625/8295
Training Step: 311 | total loss: 1.15253 | time: 218.967s
| Momentum | epoch: 002 | loss: 1.15253 - acc: 0.6102 -- iter: 5670/8295
1.14333 | time: 220.736s
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1.14640 | time: 222.514s
| Momentum | epoch: 002 | loss: 1.14640 - acc: 0.6120 -- iter: 5760/8295
1.14093 | time: 224.266s
| Momentum | epoch: 002 | loss: 1.14093 - acc: 0.6197 -- iter: 5805/8295
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1.12369 | time: 227.796s
| Momentum | epoch: 002 | loss: 1.12369 - acc: 0.6335 -- iter: 5895/8295
Training Step: 317 | total loss: 1.13193 | time: 229.500s
| Momentum | epoch: 002 | loss: 1.13193 - acc: 0.6280 -- iter: 5940/8295
1.13464 | time: 231.241s
| Momentum | epoch: 002 | loss: 1.13464 - acc: 0.6229 -- iter: 5985/8295
1.12746 | time: 233.044s
| Momentum | epoch: 002 | loss: 1.12746 - acc: 0.6251 -- iter: 6030/8295
Training Step: 320 | total loss: 1.14045 | time: 234.912s
| Momentum | epoch: 002 | loss: 1.14045 - acc: 0.6181 -- iter: 6075/8295
1.14069 | time: 236.730s
| Momentum | epoch: 002 | loss: 1.14069 - acc: 0.6119 -- iter: 6120/8295
Training Step: 322 | total loss: 1.13481 | time: 238.483s
| Momentum | epoch: 002 | loss: 1.13481 - acc: 0.6040 -- iter: 6165/8295
1.13481 | time: 240.214s
| Momentum | epoch: 002 | loss: 1.13481 - acc: 0.6103 -- iter: 6210/8295
1.15067 | time: 242.007s
| Momentum | epoch: 002 | loss: 1.15067 - acc: 0.6026 -- iter: 6255/8295
1.15401 | time: 243.723s
| Momentum | epoch: 002 | loss: 1.15401 - acc: 0.6023 -- iter: 6300/8295
Training Step: 326 | total loss: 1.16477 | time: 245.479s
| Momentum | epoch: 002 | loss: 1.16477 - acc: 0.5977 -- iter: 6345/8295
1.18473 | time: 247.297s
| Momentum | epoch: 002 | loss: 1.18473 - acc: 0.5912 -- iter: 6390/8295
Training Step: 328 | total loss: 1.17073 | time: 249.036s
| Momentum | epoch: 002 | loss: 1.17073 - acc: 0.6010 -- iter: 6435/8295
Training Step: 329 | total loss: 1.17404 | time: 250.751s
| Momentum | epoch: 002 | loss: 1.17404 - acc: 0.5942 -- iter: 6480/8295
Training Step: 330 | total loss: 1.17624 | time: 252.481s
| Momentum | epoch: 002 | loss: 1.17624 - acc: 0.6015 -- iter: 6525/8295
Training Step: 331 | total loss: 1.17926 | time: 254.229s
| Momentum | epoch: 002 | loss: 1.17926 - acc: 0.5902 -- iter: 6570/8295
1.17518 | time: 255.989s
| Momentum | epoch: 002 | loss: 1.17518 - acc: 0.5890 -- iter: 6615/8295
Training Step: 333 | total loss: 1.16494 | time: 257.802s
| Momentum | epoch: 002 | loss: 1.16494 - acc: 0.5864 -- iter: 6660/8295
Training Step: 334 | total loss: 1.16494 | time: 259.608s
| Momentum | epoch: 002 | loss: 1.16494 - acc: 0.5864 -- iter: 6705/8295
1.14576 | time: 261.364s
| Momentum | epoch: 002 | loss: 1.14576 - acc: 0.5944 -- iter: 6750/8295
Training Step: 336 | total loss: 1.13824 | time: 263.190s
| Momentum | epoch: 002 | loss: 1.13824 - acc: 0.5928 -- iter: 6795/8295
Training Step: 337 | total loss: 1.12499 | time: 264.955s
| Momentum | epoch: 002 | loss: 1.12499 - acc: 0.5935 -- iter: 6840/8295
Training Step: 338 | total loss: 1.14484 | time: 266.673s
| Momentum | epoch: 002 | loss: 1.14484 - acc: 0.5808 -- iter: 6885/8295
Training Step: 339 | total loss: 1.14868 | time: 268.411s
| Momentum | epoch: 002 | loss: 1.14868 - acc: 0.5796 -- iter: 6930/8295
1.14868 | time: 270.128s
| Momentum | epoch: 002 | loss: 1.14868 - acc: 0.5796 -- iter: 6975/8295
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| Momentum | epoch: 002 | loss: 1.14687 - acc: 0.5905 -- iter: 7020/8295
1.15265 | time: 273.620s
| Momentum | epoch: 002 | loss: 1.15265 - acc: 0.5870 -- iter: 7065/8295
1.16414 | time: 275.326s
| Momentum | epoch: 002 | loss: 1.16414 - acc: 0.5794 -- iter: 7110/8295
1.14989 | time: 277.111s
| Momentum | epoch: 002 | loss: 1.14989 - acc: 0.5859 -- iter: 7155/8295
1.13096 | time: 278.866s
| Momentum | epoch: 002 | loss: 1.13096 - acc: 0.6007 -- iter: 7200/8295
1.10844 | time: 280.563s
| Momentum | epoch: 002 | loss: 1.10844 - acc: 0.6073 -- iter: 7245/8295
1.08149 | time: 282.357s
| Momentum | epoch: 002 | loss: 1.08149 - acc: 0.6221 -- iter: 7290/8295
Training Step: 348 | total loss: 1.06984 | time: 284.141s
| Momentum | epoch: 002 | loss: 1.06984 - acc: 0.6310 -- iter: 7335/8295
1.06280 | time: 285.905s
| Momentum | epoch: 002 | loss: 1.06280 - acc: 0.6368 -- iter: 7380/8295
Training Step: 350 | total loss: 1.07590 | time: 287.634s
| Momentum | epoch: 002 | loss: 1.07590 - acc: 0.6331 -- iter: 7425/8295
1.08406 | time: 289.409s
| Momentum | epoch: 002 | loss: 1.08406 - acc: 0.6276 -- iter: 7470/8295
1.07451 | time: 291.191s
| Momentum | epoch: 002 | loss: 1.07451 - acc: 0.6315 -- iter: 7515/8295
Training Step: 353 | total loss: 1.08163 | time: 293.023s
| Momentum | epoch: 002 | loss: 1.08163 - acc: 0.6239 -- iter: 7560/8295
Training Step: 354 | total loss: 1.08449 | time: 294.713s
| Momentum | epoch: 002 | loss: 1.08449 - acc: 0.6237 -- iter: 7605/8295
1.07971 | time: 296.439s
| Momentum | epoch: 002 | loss: 1.07971 - acc: 0.6302 -- iter: 7650/8295
Training Step: 356 | total loss: 1.08981 | time: 298.226s
| Momentum | epoch: 002 | loss: 1.08981 - acc: 0.6339 -- iter: 7695/8295
Training Step: 357 | total loss: 1.08430 | time: 299.977s
| Momentum | epoch: 002 | loss: 1.08430 - acc: 0.6394 -- iter: 7740/8295
1.06866 | time: 301.734s
| Momentum | epoch: 002 | loss: 1.06866 - acc: 0.6466 -- iter: 7785/8295
Training Step: 359 | total loss: 1.06685 | time: 303.530s
| Momentum | epoch: 002 | loss: 1.06685 - acc: 0.6441 -- iter: 7830/8295
Training Step: 360 | total loss: 1.04467 | time: 305.126s
| Momentum | epoch: 002 | loss: 1.04467 - acc: 0.6486 -- iter: 7875/8295
1.06253 | time: 306.896s
| Momentum | epoch: 002 | loss: 1.06253 - acc: 0.6476 -- iter: 7920/8295
Training Step: 362 | total loss: 1.06253 | time: 308.610s
| Momentum | epoch: 002 | loss: 1.06253 - acc: 0.6476 -- iter: 7965/8295
Training Step: 363 | total loss: 1.06710 | time: 310.338s
| Momentum | epoch: 002 | loss: 1.06710 - acc: 0.6473 -- iter: 8010/8295
Training Step: 364 | total loss: 1.05430 | time: 312.085s
| Momentum | epoch: 002 | loss: 1.05430 - acc: 0.6492 -- iter: 8055/8295
Training Step: 365 | total loss: 1.06597 | time: 313.773s
| Momentum | epoch: 002 | loss: 1.06597 - acc: 0.6465 -- iter: 8100/8295
Training Step: 366 | total loss: 1.06730 | time: 315.458s
| Momentum | epoch: 002 | loss: 1.06730 - acc: 0.6485 -- iter: 8145/8295
Training Step: 367 | total loss: 1.06668 | time: 317.172s
| Momentum | epoch: 002 | loss: 1.06668 - acc: 0.6370 -- iter: 8190/8295
Training Step: 368 | total loss: 1.08120 | time: 318.939s
| Momentum | epoch: 002 | loss: 1.08120 - acc: 0.6311 -- iter: 8235/8295
1.08772 | time: 320.689s
| Momentum | epoch: 002 | loss: 1.08772 - acc: 0.6235 -- iter: 8280/8295
Training Step: 370 | total loss: 1.08300 | time: 323.570s
| Momentum | epoch: 002 | loss: 1.08300 - acc: 0.6234 | val_loss: 0.98270 - val_acc: 0.6562 -- iter: 8295/8295
--
Training Step: 371 | total loss: 1.06210 | time: 1.507s
| Momentum | epoch: 003 | loss: 1.06210 - acc: 0.6388 -- iter: 0045/8295
Training Step: 372 | total loss: 1.07106 | time: 3.010s
| Momentum | epoch: 003 | loss: 1.07106 - acc: 0.6350 -- iter: 0090/8295
Training Step: 373 | total loss: 1.08660 | time: 4.724s
| Momentum | epoch: 003 | loss: 1.08660 - acc: 0.6115 -- iter: 0135/8295
1.06805 | time: 6.491s
| Momentum | epoch: 003 | loss: 1.06805 - acc: 0.6236 -- iter: 0180/8295
| time: 8.197s
| Momentum | epoch: 003 | loss: 1.06470 - acc: 0.6235 -- iter: 0225/8295
1.07595 | time: 9.918s
| Momentum | epoch: 003 | loss: 1.07595 - acc: 0.6278 -- iter: 0270/8295
Training Step: 377 | total loss: 1.07665 | time: 11.589s
| Momentum | epoch: 003 | loss: 1.07665 - acc: 0.6295 -- iter: 0315/8295
Training Step: 378 | total loss: 1.07588 | time: 13.396s
| Momentum | epoch: 003 | loss: 1.07588 - acc: 0.6332 -- iter: 0360/8295
Training Step: 379 | total loss: 1.07480 | time: 15.140s
| Momentum | epoch: 003 | loss: 1.07480 - acc: 0.6299 -- iter: 0405/8295
1.07839 | time: 16.805s
| Momentum | epoch: 003 | loss: 1.07839 - acc: 0.6224 -- iter: 0450/8295
Training Step: 381 | total loss: 1.06707 | time: 18.523s
| Momentum | epoch: 003 | loss: 1.06707 - acc: 0.6291 -- iter: 0495/8295
1.07507 | time: 20.215s
| Momentum | epoch: 003 | loss: 1.07507 - acc: 0.6262 -- iter: 0540/8295
Training Step: 383 | total loss: 1.07040 | time: 21.923s
| Momentum | epoch: 003 | loss: 1.07040 - acc: 0.6325 -- iter: 0585/8295
Training Step: 384 | total loss: 1.07530 | time: 23.621s
| Momentum | epoch: 003 | loss: 1.07530 - acc: 0.6270 -- iter: 0630/8295
Training Step: 385 | total loss: 1.08104 | time: 25.391s
| Momentum | epoch: 003 | loss: 1.08104 - acc: 0.6198 -- iter: 0675/8295
1.08701 | time: 27.110s
| Momentum | epoch: 003 | loss: 1.08701 - acc: 0.6245 -- iter: 0720/8295
Training Step: 387 | total loss: 1.07095 | time: 28.833s
| Momentum | epoch: 003 | loss: 1.07095 - acc: 0.6287 -- iter: 0765/8295
1.07512 | time: 30.562s
| Momentum | epoch: 003 | loss: 1.07512 - acc: 0.6214 -- iter: 0810/8295
1.07914 | time: 32.271s
| Momentum | epoch: 003 | loss: 1.07914 - acc: 0.6171 -- iter: 0855/8295
1.07571 | time: 34.051s
| Momentum | epoch: 003 | loss: 1.07571 - acc: 0.6198 -- iter: 0900/8295
1.09627 | time: 35.881s
| Momentum | epoch: 003 | loss: 1.09627 - acc: 0.6089 -- iter: 0945/8295
1.08477 | time: 37.625s
| Momentum | epoch: 003 | loss: 1.08477 - acc: 0.6147 -- iter: 0990/8295
1.06048 | time: 39.349s
| Momentum | epoch: 003 | loss: 1.06048 - acc: 0.6177 -- iter: 1035/8295
1.04347 | time: 41.190s
| Momentum | epoch: 003 | loss: 1.04347 - acc: 0.6248 -- iter: 1080/8295
Training Step: 395 | total loss: 1.04805 | time: 42.933s
| Momentum | epoch: 003 | loss: 1.04805 - acc: 0.6112 -- iter: 1125/8295
1.04720 | time: 44.576s
| Momentum | epoch: 003 | loss: 1.04720 - acc: 0.6145 -- iter: 1170/8295
1.04193 | time: 46.457s
| Momentum | epoch: 003 | loss: 1.04193 - acc: 0.6197 -- iter: 1215/8295
Training Step: 398 | total loss: 1.05346 | time: 48.218s
| Momentum | epoch: 003 | loss: 1.05346 - acc: 0.6244 -- iter: 1260/8295
Training Step: 399 | total loss: 1.06593 | time: 49.998s
| Momentum | epoch: 003 | loss: 1.06593 - acc: 0.6198 -- iter: 1305/8295
Training Step: 400 | total loss: 1.04492 | time: 51.756s
| Momentum | epoch: 003 | loss: 1.04492 - acc: 0.6333 -- iter: 1350/8295
Training Step: 401 | total loss: 1.03157 | time: 53.494s
| Momentum | epoch: 003 | loss: 1.03157 - acc: 0.6433 -- iter: 1395/8295
1.02408 | time: 55.126s
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Training Step: 403 | total loss: 1.03148 | time: 56.879s
| Momentum | epoch: 003 | loss: 1.03148 - acc: 0.6430 -- iter: 1485/8295
1.03148 | time: 58.667s
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1.02762 | time: 60.413s
| Momentum | epoch: 003 | loss: 1.02762 - acc: 0.6453 -- iter: 1575/8295
Training Step: 406 | total loss: 1.03693 | time: 62.157s
| Momentum | epoch: 003 | loss: 1.03693 - acc: 0.6452 -- iter: 1620/8295
Training Step: 407 | total loss: 1.02832 | time: 63.868s
| Momentum | epoch: 003 | loss: 1.02832 - acc: 0.6452 -- iter: 1665/8295
1.02144 | time: 65.657s
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1.02919 | time: 67.460s
| Momentum | epoch: 003 | loss: 1.02919 - acc: 0.6446 -- iter: 1755/8295
Training Step: 410 | total loss: 0.99281 | time: 69.210s
| Momentum | epoch: 003 | loss: 0.99281 - acc: 0.6690 -- iter: 1800/8295
Training Step: 411 | total loss: 0.97424 | time: 71.005s
| Momentum | epoch: 003 | loss: 0.97424 - acc: 0.6754 -- iter: 1845/8295
Training Step: 412 | total loss: 0.99299 | time: 72.757s
| Momentum | epoch: 003 | loss: 0.99299 - acc: 0.6635 -- iter: 1890/8295
Training Step: 413 | total loss: 0.99625 | time: 74.530s
| Momentum | epoch: 003 | loss: 0.99625 - acc: 0.6682 -- iter: 1935/8295
0.98344 | time: 76.218s
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0.98704 | time: 77.935s
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| Momentum | epoch: 003 | loss: 1.03693 - acc: 0.6504 -- iter: 2160/8295
Training Step: 419 | total loss: 1.04191 | time: 84.875s
| Momentum | epoch: 003 | loss: 1.04191 - acc: 0.6454 -- iter: 2205/8295
1.04081 | time: 86.621s
| Momentum | epoch: 003 | loss: 1.04081 - acc: 0.6430 -- iter: 2250/8295
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1.01051 | time: 98.756s
| Momentum | epoch: 003 | loss: 1.01051 - acc: 0.6646 -- iter: 2565/8295
1.01148 | time: 100.542s
| Momentum | epoch: 003 | loss: 1.01148 - acc: 0.6648 -- iter: 2610/8295
Training Step: 429 | total loss: 1.01232 | time: 102.389s
| Momentum | epoch: 003 | loss: 1.01232 - acc: 0.6605 -- iter: 2655/8295
Training Step: 430 | total loss: 1.01651 | time: 104.150s
| Momentum | epoch: 003 | loss: 1.01651 - acc: 0.6567 -- iter: 2700/8295
1.02427 | time: 105.838s
| Momentum | epoch: 003 | loss: 1.02427 - acc: 0.6510 -- iter: 2745/8295
1.02826 | time: 107.587s
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| Momentum | epoch: 003 | loss: 1.01327 - acc: 0.6581 -- iter: 2925/8295
Training Step: 436 | total loss: 1.01144 | time: 114.604s
| Momentum | epoch: 003 | loss: 1.01144 - acc: 0.6545 -- iter: 2970/8295
1.00720 | time: 116.326s
| Momentum | epoch: 003 | loss: 1.00720 - acc: 0.6513 -- iter: 3015/8295
1.02084 | time: 117.924s
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1.01618 | time: 119.614s
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1.00229 | time: 121.244s
| Momentum | epoch: 003 | loss: 1.00229 - acc: 0.6603 -- iter: 3150/8295
Training Step: 441 | total loss: 0.99152 | time: 122.909s
| Momentum | epoch: 003 | loss: 0.99152 - acc: 0.6653 -- iter: 3195/8295
1.01033 | time: 124.690s
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1.00889 | time: 129.945s
| Momentum | epoch: 003 | loss: 1.00889 - acc: 0.6527 -- iter: 3375/8295
Training Step: 446 | total loss: 1.00205 | time: 131.687s
| Momentum | epoch: 003 | loss: 1.00205 - acc: 0.6608 -- iter: 3420/8295
0.99869 | time: 133.462s
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0.98738 | time: 136.941s
| Momentum | epoch: 003 | loss: 0.98738 - acc: 0.6664 -- iter: 3555/8295
Training Step: 450 | total loss: 0.99302 | time: 138.662s
| Momentum | epoch: 003 | loss: 0.99302 - acc: 0.6642 -- iter: 3600/8295
0.99880 | time: 140.422s
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| Momentum | epoch: 003 | loss: 0.98119 - acc: 0.6735 -- iter: 3735/8295
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| Momentum | epoch: 003 | loss: 0.97535 - acc: 0.6773 -- iter: 3780/8295
0.93187 | time: 147.412s
| Momentum | epoch: 003 | loss: 0.93187 - acc: 0.6959 -- iter: 3825/8295
Training Step: 456 | total loss: 0.93187 | time: 149.077s
| Momentum | epoch: 003 | loss: 0.93187 - acc: 0.6959 -- iter: 3870/8295
Training Step: 457 | total loss: 0.94321 | time: 150.789s
| Momentum | epoch: 003 | loss: 0.94321 - acc: 0.6930 -- iter: 3915/8295
0.93978 | time: 152.525s
| Momentum | epoch: 003 | loss: 0.93978 - acc: 0.6904 -- iter: 3960/8295
Training Step: 459 | total loss: 0.94126 | time: 154.198s
| Momentum | epoch: 003 | loss: 0.94126 - acc: 0.6924 -- iter: 4005/8295
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| Momentum | epoch: 003 | loss: 0.93921 - acc: 0.6921 -- iter: 4050/8295
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| Momentum | epoch: 003 | loss: 0.94785 - acc: 0.6851 -- iter: 4095/8295
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| Momentum | epoch: 003 | loss: 0.92910 - acc: 0.6860 -- iter: 4140/8295
0.92910 | time: 161.236s
| Momentum | epoch: 003 | loss: 0.92910 - acc: 0.6860 -- iter: 4185/8295
Training Step: 464 | total loss: 0.93000 | time: 163.100s
| Momentum | epoch: 003 | loss: 0.93000 - acc: 0.6885 -- iter: 4230/8295
Training Step: 465 | total loss: 0.95046 | time: 165.069s
| Momentum | epoch: 003 | loss: 0.95046 - acc: 0.6686 -- iter: 4275/8295
Training Step: 466 | total loss: 0.92920 | time: 166.818s
| Momentum | epoch: 003 | loss: 0.92920 - acc: 0.6839 -- iter: 4320/8295
Training Step: 467 | total loss: 0.92401 | time: 168.651s
| Momentum | epoch: 003 | loss: 0.92401 - acc: 0.6800 -- iter: 4365/8295
Training Step: 468 | total loss: 0.93510 | time: 170.379s
| Momentum | epoch: 003 | loss: 0.93510 - acc: 0.6876 -- iter: 4410/8295
Training Step: 469 | total loss: 0.95083 | time: 172.149s
| Momentum | epoch: 003 | loss: 0.95083 - acc: 0.6699 -- iter: 4455/8295
0.97667 | time: 173.898s
| Momentum | epoch: 003 | loss: 0.97667 - acc: 0.6651 -- iter: 4500/8295
0.96547 | time: 175.663s
| Momentum | epoch: 003 | loss: 0.96547 - acc: 0.6720 -- iter: 4545/8295
Training Step: 472 | total loss: 0.95347 | time: 177.390s
| Momentum | epoch: 003 | loss: 0.95347 - acc: 0.6737 -- iter: 4590/8295
Training Step: 473 | total loss: 0.95296 | time: 179.134s
| Momentum | epoch: 003 | loss: 0.95296 - acc: 0.6752 -- iter: 4635/8295
Training Step: 474 | total loss: 0.96202 | time: 180.878s
| Momentum | epoch: 003 | loss: 0.96202 - acc: 0.6654 -- iter: 4680/8295
0.96490 | time: 182.684s
| Momentum | epoch: 003 | loss: 0.96490 - acc: 0.6678 -- iter: 4725/8295
Training Step: 476 | total loss: 0.95352 | time: 184.479s
| Momentum | epoch: 003 | loss: 0.95352 - acc: 0.6778 -- iter: 4770/8295
Training Step: 477 | total loss: 0.95352 | time: 186.391s
| Momentum | epoch: 003 | loss: 0.95352 - acc: 0.6778 -- iter: 4815/8295
0.94997 | time: 188.200s
| Momentum | epoch: 003 | loss: 0.94997 - acc: 0.6789 -- iter: 4860/8295
Training Step: 479 | total loss: 0.94440 | time: 189.951s
| Momentum | epoch: 003 | loss: 0.94440 - acc: 0.6932 -- iter: 4905/8295
| time: 191.728s
| Momentum | epoch: 003 | loss: 0.92817 - acc: 0.7039 -- iter: 4950/8295
0.91249 | time: 193.481s
| Momentum | epoch: 003 | loss: 0.91249 - acc: 0.7099 -- iter: 4995/8295
Training Step: 482 | total loss: 0.91249 | time: 195.178s