Epoch 1 	Training Loss: 1.1035438804806341 	Validation Loss: 0.7362933201909512 	 time: 00:28:19
Train Accuracy : 60.59137725830078 	Validation Accuracy : 72.81468963623047
Validation Loss Decreased( inf ---> 842.3195582984481 ) 	 Saving The Model

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Epoch 2 	Training Loss: 0.7226075545878446 	Validation Loss: 0.6163856863236329 	 time: 00:25:31
Train Accuracy : 71.66165161132812 	Validation Accuracy : 74.82518005371094
Validation Loss Decreased( 842.3195582984481 ---> 705.145225154236 ) 	 Saving The Model

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Epoch 3 	Training Loss: 0.5927857020558719 	Validation Loss: 1.3273141826035384 	 time: 00:23:21
Train Accuracy : 76.8459701538086 	Validation Accuracy : 54.16666793823242

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Epoch 4 	Training Loss: 0.4855417087383751 	Validation Loss: 1.5671682171401458 	 time: 00:24:10
Train Accuracy : 81.20057678222656 	Validation Accuracy : 53.263404846191406

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Epoch 5 	Training Loss: 0.42466082714937775 	Validation Loss: 3.5975048998270522 	 time: 00:30:19
Train Accuracy : 84.1463394165039 	Validation Accuracy : 42.16200637817383

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Epoch 6 	Training Loss: 0.3899900257610249 	Validation Loss: 0.3208140740501673 	 time: 00:29:13
Train Accuracy : 85.36028289794922 	Validation Accuracy : 88.5489501953125
Validation Loss Decreased( 705.145225154236 ---> 367.0113007133914 ) 	 Saving The Model

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Epoch 7 	Training Loss: 0.33965107956475976 	Validation Loss: 1.60716543938882 	 time: 00:30:09
Train Accuracy : 87.16448974609375 	Validation Accuracy : 57.7214469909668

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Epoch 8 	Training Loss: 0.3088414678495286 	Validation Loss: 3.7727238974062614 	 time: 00:30:26
Train Accuracy : 88.48980712890625 	Validation Accuracy : 30.09906768798828

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Epoch 9 	Training Loss: 0.2893916949011927 	Validation Loss: 0.3727143925575459 	 time: 00:31:12
Train Accuracy : 89.44759368896484 	Validation Accuracy : 86.85897827148438

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Epoch 10 	Training Loss: 0.26239258625865075 	Validation Loss: 0.39486539538513027 	 time: 00:30:42
Train Accuracy : 90.41095733642578 	Validation Accuracy : 84.73193359375

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Epoch 11 	Training Loss: 0.24367613917504974 	Validation Loss: 0.30012787602620505 	 time: 00:29:41
Train Accuracy : 91.26294708251953 	Validation Accuracy : 88.92774200439453
Validation Loss Decreased( 367.0113007133914 ---> 343.34629017397856 ) 	 Saving The Model

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Epoch 12 	Training Loss: 0.236287816383571 	Validation Loss: 0.2645583272986157 	 time: 00:24:12
Train Accuracy : 91.27407836914062 	Validation Accuracy : 89.7727279663086
Validation Loss Decreased( 343.34629017397856 ---> 302.6547264296164 ) 	 Saving The Model

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Epoch 13 	Training Loss: 0.23417071717115065 	Validation Loss: 0.28670598589140556 	 time: 00:25:53
Train Accuracy : 91.45783996582031 	Validation Accuracy : 89.51049041748047

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Epoch 14 	Training Loss: 0.21140513792742907 	Validation Loss: 0.877864682356586 	 time: 00:33:27
Train Accuracy : 92.3432388305664 	Validation Accuracy : 69.87179565429688

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Epoch 15 	Training Loss: 0.20538419038578473 	Validation Loss: 0.31970177022714447 	 time: 00:35:28
Train Accuracy : 92.52700805664062 	Validation Accuracy : 88.78205108642578

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Epoch 16 	Training Loss: 0.19501896397021903 	Validation Loss: 0.3537218891526128 	 time: 00:26:52
Train Accuracy : 93.01703643798828 	Validation Accuracy : 86.21794891357422

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Epoch 17 	Training Loss: 0.18287320016237196 	Validation Loss: 0.23517900836004693 	 time: 00:27:14
Train Accuracy : 93.25091552734375 	Validation Accuracy : 91.20046997070312
Validation Loss Decreased( 302.6547264296164 ---> 269.0447855638937 ) 	 Saving The Model

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Epoch 18 	Training Loss: 0.17879659134323164 	Validation Loss: 0.23142625330760383 	 time: 00:29:55
Train Accuracy : 93.71310424804688 	Validation Accuracy : 91.52098083496094
Validation Loss Decreased( 269.0447855638937 ---> 264.7516337838988 ) 	 Saving The Model

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Epoch 19 	Training Loss: 0.171295881071395 	Validation Loss: 0.29114914753153515 	 time: 00:30:24
Train Accuracy : 93.8578872680664 	Validation Accuracy : 88.92774200439453

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Epoch 20 	Training Loss: 0.17367128944810054 	Validation Loss: 0.19204040009411208 	 time: 00:30:35
Train Accuracy : 93.65184783935547 	Validation Accuracy : 92.97785949707031
Validation Loss Decreased( 264.7516337838988 ---> 219.69421770766422 ) 	 Saving The Model

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Epoch 21 	Training Loss: 0.16889888298814962 	Validation Loss: 1.383013668015098 	 time: 00:26:40
Train Accuracy : 94.06949615478516 	Validation Accuracy : 61.188812255859375

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Epoch 22 	Training Loss: 0.15593305252522763 	Validation Loss: 0.29187787832020173 	 time: 00:22:59
Train Accuracy : 94.53168487548828 	Validation Accuracy : 89.07342529296875

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Epoch 23 	Training Loss: 0.16150809311312375 	Validation Loss: 0.30029773062818627 	 time: 00:22:46
Train Accuracy : 94.26995849609375 	Validation Accuracy : 89.13170623779297

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Epoch 24 	Training Loss: 0.14889712126819024 	Validation Loss: 0.20152319045968844 	 time: 00:22:40
Train Accuracy : 94.40917205810547 	Validation Accuracy : 93.0361328125

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Epoch 25 	Training Loss: 0.14728439946149172 	Validation Loss: 0.5768455127529731 	 time: 00:23:05
Train Accuracy : 94.62635040283203 	Validation Accuracy : 82.22611236572266

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Epoch 26 	Training Loss: 0.14183516678818942 	Validation Loss: 0.23056407164745374 	 time: 00:23:30
Train Accuracy : 94.77669525146484 	Validation Accuracy : 91.89977264404297

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Epoch 27 	Training Loss: 0.14214308556186903 	Validation Loss: 0.5357079009287545 	 time: 00:23:39
Train Accuracy : 94.9883041381836 	Validation Accuracy : 82.10955810546875

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Epoch 28 	Training Loss: 0.13260898183909905 	Validation Loss: 0.2149459716328706 	 time: 00:23:31
Train Accuracy : 95.22775268554688 	Validation Accuracy : 92.22028350830078

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Epoch 29 	Training Loss: 0.13150178402533158 	Validation Loss: 0.1735658104628493 	 time: 00:23:07
Train Accuracy : 95.1776351928711 	Validation Accuracy : 93.85198211669922
Validation Loss Decreased( 219.69421770766422 ---> 198.5592871694996 ) 	 Saving The Model

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Epoch 30 	Training Loss: 0.12626396362086523 	Validation Loss: 0.22748694864047736 	 time: 00:23:12
Train Accuracy : 95.48390197753906 	Validation Accuracy : 92.22028350830078

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Epoch 31 	Training Loss: 0.1243195203532862 	Validation Loss: 0.15573396021900965 	 time: 00:23:15
Train Accuracy : 95.51174926757812 	Validation Accuracy : 94.2599105834961
Validation Loss Decreased( 198.5592871694996 ---> 178.15965049054705 ) 	 Saving The Model

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Epoch 32 	Training Loss: 0.12209497421210111 	Validation Loss: 0.19751328618058758 	 time: 00:23:52
Train Accuracy : 95.52288055419922 	Validation Accuracy : 93.26923370361328

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Epoch 33 	Training Loss: 0.12278669627672056 	Validation Loss: 0.25568632156248966 	 time: 00:23:13
Train Accuracy : 95.62311553955078 	Validation Accuracy : 91.05477905273438

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Epoch 34 	Training Loss: 0.11644445447141527 	Validation Loss: 0.19130310058533873 	 time: 00:23:17
Train Accuracy : 95.84585571289062 	Validation Accuracy : 93.06526947021484

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Epoch 35 	Training Loss: 0.11643929763509502 	Validation Loss: 0.21698788530739277 	 time: 00:23:26
Train Accuracy : 95.82915496826172 	Validation Accuracy : 92.62820434570312

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Epoch 36 	Training Loss: 0.11314545146687183 	Validation Loss: 0.17937653658909178 	 time: 00:24:49
Train Accuracy : 95.84585571289062 	Validation Accuracy : 94.11421966552734

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Epoch 37 	Training Loss: 0.11227715401390395 	Validation Loss: 0.1841336501966603 	 time: 00:30:50
Train Accuracy : 95.95166015625 	Validation Accuracy : 93.4149169921875

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Epoch 38 	Training Loss: 0.1071929339383833 	Validation Loss: 0.17111435995329394 	 time: 00:32:50
Train Accuracy : 96.10201263427734 	Validation Accuracy : 93.9102554321289

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Epoch 39 	Training Loss: 0.10536505841217854 	Validation Loss: 0.17860585031031706 	 time: 00:33:09
Train Accuracy : 96.24679565429688 	Validation Accuracy : 93.61888122558594

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Epoch 40 	Training Loss: 0.1025733296694737 	Validation Loss: 0.16341808670263447 	 time: 00:33:26
Train Accuracy : 96.35816955566406 	Validation Accuracy : 94.34732055664062

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Epoch 41 	Training Loss: 0.1052557724369013 	Validation Loss: 0.1674421660797369 	 time: 00:33:34
Train Accuracy : 96.18553924560547 	Validation Accuracy : 94.49301147460938

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Epoch 42 	Training Loss: 0.10263119807659637 	Validation Loss: 0.20584173513718435 	 time: 00:28:26
Train Accuracy : 96.21895599365234 	Validation Accuracy : 92.5407943725586

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Epoch 43 	Training Loss: 0.10232017596648244 	Validation Loss: 0.19133936254487285 	 time: 00:27:43
Train Accuracy : 96.28577423095703 	Validation Accuracy : 93.4149169921875

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Epoch 44 	Training Loss: 0.09797717922651777 	Validation Loss: 0.17769178415356504 	 time: 00:23:49
Train Accuracy : 96.62545776367188 	Validation Accuracy : 94.2599105834961

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Epoch 45 	Training Loss: 0.0962465678795243 	Validation Loss: 0.15445901458264635 	 time: 00:22:08
Train Accuracy : 96.50294494628906 	Validation Accuracy : 94.46387481689453
Validation Loss Decreased( 178.15965049054705 ---> 176.70111268254743 ) 	 Saving The Model

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Epoch 46 	Training Loss: 0.09185824797468396 	Validation Loss: 0.17249739720020704 	 time: 00:22:01
Train Accuracy : 96.7646713256836 	Validation Accuracy : 94.28904724121094

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Epoch 47 	Training Loss: 0.08947356818272058 	Validation Loss: 0.16489796243608087 	 time: 00:22:09
Train Accuracy : 96.80364990234375 	Validation Accuracy : 94.93006896972656

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Epoch 48 	Training Loss: 0.09256357114334521 	Validation Loss: 0.18674146796817262 	 time: 00:22:37
Train Accuracy : 96.90388488769531 	Validation Accuracy : 94.05594635009766

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Epoch 49 	Training Loss: 0.08656281119721079 	Validation Loss: 0.18428602356302096 	 time: 00:22:08
Train Accuracy : 96.90388488769531 	Validation Accuracy : 94.2016372680664

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Epoch 50 	Training Loss: 0.08749571777711337 	Validation Loss: 0.15860075746543972 	 time: 00:22:43
Train Accuracy : 96.93729400634766 	Validation Accuracy : 94.72611236572266