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Test Loss: 1.4404387474060059 7/113 [>.............................] - ETA: 9s - loss: 1.4428 - accuracy: 0.2245 Mini-Batch: 7 - Train Loss: 1.437462329864502 - Test Loss: 1.4390716552734375 8/113 [=>............................] - ETA: 9s - loss: 1.4375 - accuracy: 0.2338 Mini-Batch: 8 - Train Loss: 1.4424912929534912 - Test Loss: 1.437738060951233 9/113 [=>............................] - ETA: 9s - loss: 1.4425 - accuracy: 0.2199 Mini-Batch: 9 - Train Loss: 1.4402669668197632 - Test Loss: 1.4364094734191895 10/113 [=>............................] - ETA: 9s - loss: 1.4403 - accuracy: 0.2222 Mini-Batch: 10 - Train Loss: 1.431104302406311 - Test Loss: 1.4352216720581055 11/113 [=>............................] - ETA: 9s - loss: 1.4311 - accuracy: 0.2361 Mini-Batch: 11 - Train Loss: 1.4305932521820068 - Test Loss: 1.4341881275177002 12/113 [==>...........................] - ETA: 8s - loss: 1.4306 - accuracy: 0.2384 Mini-Batch: 12 - Train Loss: 1.4368352890014648 - Test Loss: 1.4330695867538452 13/113 [==>...........................] - ETA: 8s - loss: 1.4368 - accuracy: 0.2153 Mini-Batch: 13 - Train Loss: 1.4310338497161865 - Test Loss: 1.4319888353347778 14/113 [==>...........................] - ETA: 8s - loss: 1.4310 - accuracy: 0.2292 Mini-Batch: 14 - Train Loss: 1.429517149925232 - Test Loss: 1.4309709072113037 15/113 [==>...........................] - ETA: 8s - loss: 1.4295 - accuracy: 0.2315 Mini-Batch: 15 - Train Loss: 1.4340834617614746 - Test Loss: 1.429960012435913 16/113 [===>..........................] - ETA: 8s - loss: 1.4341 - accuracy: 0.2245 Mini-Batch: 16 - Train Loss: 1.4291691780090332 - Test Loss: 1.4290047883987427 17/113 [===>..........................] - ETA: 8s - loss: 1.4292 - accuracy: 0.2315 Mini-Batch: 17 - Train Loss: 1.4307461977005005 - Test Loss: 1.4280250072479248 18/113 [===>..........................] - ETA: 8s - loss: 1.4307 - accuracy: 0.2245 Mini-Batch: 18 - Train Loss: 1.4326683282852173 - Test Loss: 1.4270588159561157 19/113 [====>.........................] - ETA: 8s - loss: 1.4327 - accuracy: 0.2245 Mini-Batch: 19 - Train Loss: 1.4300400018692017 - Test Loss: 1.42610502243042 20/113 [====>.........................] - ETA: 8s - loss: 1.4300 - accuracy: 0.2245 Mini-Batch: 20 - Train Loss: 1.4299348592758179 - Test Loss: 1.4251519441604614 21/113 [====>.........................] - ETA: 7s - loss: 1.4299 - accuracy: 0.2222 Mini-Batch: 21 - Train Loss: 1.4225648641586304 - Test Loss: 1.4242860078811646 22/113 [====>.........................] - ETA: 7s - loss: 1.4226 - accuracy: 0.2338 Mini-Batch: 22 - Train Loss: 1.4216943979263306 - Test Loss: 1.4234521389007568 23/113 [=====>........................] - ETA: 7s - loss: 1.4217 - accuracy: 0.2269 Mini-Batch: 23 - Train Loss: 1.4231034517288208 - Test Loss: 1.4226117134094238 24/113 [=====>........................] - ETA: 7s - loss: 1.4231 - accuracy: 0.2245 Mini-Batch: 24 - Train Loss: 1.42197585105896 - Test Loss: 1.4218029975891113 25/113 [=====>........................] - ETA: 8s - loss: 1.4220 - accuracy: 0.2292 Mini-Batch: 25 - Train Loss: 1.4189826250076294 - Test Loss: 1.4211026430130005 26/113 [=====>........................] - ETA: 8s - loss: 1.4190 - accuracy: 0.2361 Mini-Batch: 26 - Train Loss: 1.423531174659729 - Test Loss: 1.4203824996948242 27/113 [======>.......................] - ETA: 8s - loss: 1.4235 - accuracy: 0.2199 Mini-Batch: 27 - Train Loss: 1.4223946332931519 - Test Loss: 1.4196590185165405 28/113 [======>.......................] - ETA: 8s - loss: 1.4224 - accuracy: 0.2245 Mini-Batch: 28 - Train Loss: 1.4212136268615723 - Test Loss: 1.4188984632492065 29/113 [======>.......................] - ETA: 8s - loss: 1.4212 - accuracy: 0.2199 Mini-Batch: 29 - Train Loss: 1.4174540042877197 - Test Loss: 1.4181599617004395 30/113 [======>.......................] - ETA: 8s - loss: 1.4175 - accuracy: 0.2269 Mini-Batch: 30 - Train Loss: 1.4188088178634644 - Test Loss: 1.4174119234085083 31/113 [=======>......................] - ETA: 8s - loss: 1.4188 - accuracy: 0.2245 Mini-Batch: 31 - Train Loss: 1.4206130504608154 - Test Loss: 1.4166549444198608 32/113 [=======>......................] - ETA: 8s - loss: 1.4206 - accuracy: 0.2199 Mini-Batch: 32 - Train Loss: 1.4149423837661743 - Test Loss: 1.4159185886383057 33/113 [=======>......................] - ETA: 8s - loss: 1.4149 - accuracy: 0.2269 Mini-Batch: 33 - Train Loss: 1.4124836921691895 - Test Loss: 1.4152783155441284 34/113 [========>.....................] - ETA: 8s - loss: 1.4125 - accuracy: 0.2361 Mini-Batch: 34 - Train Loss: 1.4157124757766724 - Test Loss: 1.414676547050476 35/113 [========>.....................] - ETA: 7s - loss: 1.4157 - accuracy: 0.2292 Mini-Batch: 35 - Train Loss: 1.4184410572052002 - Test Loss: 1.4140353202819824 36/113 [========>.....................] - ETA: 7s - loss: 1.4184 - accuracy: 0.2199 Mini-Batch: 36 - Train Loss: 1.410006046295166 - Test Loss: 1.4134666919708252 37/113 [========>.....................] - ETA: 7s - loss: 1.4100 - accuracy: 0.2338 Mini-Batch: 37 - Train Loss: 1.4140641689300537 - Test Loss: 1.4129143953323364 38/113 [=========>....................] - ETA: 7s - loss: 1.4141 - accuracy: 0.2269 Mini-Batch: 38 - Train Loss: 1.4102096557617188 - Test Loss: 1.4124089479446411 39/113 [=========>....................] - ETA: 7s - loss: 1.4102 - accuracy: 0.2315 Mini-Batch: 39 - Train Loss: 1.4111229181289673 - Test Loss: 1.4118974208831787 40/113 [=========>....................] - ETA: 7s - loss: 1.4111 - accuracy: 0.2245 Mini-Batch: 40 - Train Loss: 1.4151626825332642 - Test Loss: 1.411348819732666 41/113 [=========>....................] - ETA: 7s - loss: 1.4152 - accuracy: 0.2199 Mini-Batch: 41 - Train Loss: 1.4070069789886475 - Test Loss: 1.410892128944397 42/113 [==========>...................] - ETA: 6s - loss: 1.4070 - accuracy: 0.2384 Mini-Batch: 42 - Train Loss: 1.410125970840454 - Test Loss: 1.4104441404342651 43/113 [==========>...................] - ETA: 6s - loss: 1.4101 - accuracy: 0.2269 Mini-Batch: 43 - Train Loss: 1.411612629890442 - Test Loss: 1.410002589225769 44/113 [==========>...................] - ETA: 6s - loss: 1.4116 - accuracy: 0.2269 Mini-Batch: 44 - Train Loss: 1.40940523147583 - Test Loss: 1.4095531702041626 45/113 [==========>...................] - ETA: 6s - loss: 1.4094 - accuracy: 0.2245 Mini-Batch: 45 - Train Loss: 1.4082742929458618 - Test Loss: 1.4091229438781738 46/113 [===========>..................] - ETA: 6s - loss: 1.4083 - accuracy: 0.2292 Mini-Batch: 46 - Train Loss: 1.413167119026184 - Test Loss: 1.4086875915527344 47/113 [===========>..................] - ETA: 6s - loss: 1.4132 - accuracy: 0.2245 Mini-Batch: 47 - Train Loss: 1.408187985420227 - Test Loss: 1.4082740545272827 48/113 [===========>..................] - ETA: 6s - loss: 1.4082 - accuracy: 0.2292 Mini-Batch: 48 - Train Loss: 1.4082649946212769 - Test Loss: 1.4078811407089233 49/113 [============>.................] - ETA: 6s - loss: 1.4083 - accuracy: 0.2292 Mini-Batch: 49 - Train Loss: 1.41001296043396 - Test Loss: 1.4074711799621582 50/113 [============>.................] - ETA: 5s - loss: 1.4100 - accuracy: 0.2222 Mini-Batch: 50 - Train Loss: 1.4051947593688965 - Test Loss: 1.4070812463760376 51/113 [============>.................] - ETA: 5s - loss: 1.4052 - accuracy: 0.2292 Mini-Batch: 51 - Train Loss: 1.408707618713379 - Test Loss: 1.4067018032073975 52/113 [============>.................] - ETA: 5s - loss: 1.4087 - accuracy: 0.2269 Mini-Batch: 52 - Train Loss: 1.4039461612701416 - Test Loss: 1.4063644409179688 53/113 [=============>................] - ETA: 5s - loss: 1.4039 - accuracy: 0.2338 Mini-Batch: 53 - Train Loss: 1.4047268629074097 - Test Loss: 1.4060875177383423 54/113 [=============>................] - ETA: 5s - loss: 1.4047 - accuracy: 0.2361 Mini-Batch: 54 - Train Loss: 1.411948561668396 - Test Loss: 1.4057201147079468 55/113 [=============>................] - ETA: 5s - loss: 1.4119 - accuracy: 0.2106 Mini-Batch: 55 - Train Loss: 1.4104071855545044 - Test Loss: 1.405318021774292 56/113 [=============>................] - ETA: 5s - loss: 1.4104 - accuracy: 0.2176 Mini-Batch: 56 - Train Loss: 1.4025464057922363 - 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ETA: 4s - loss: 1.4040 - accuracy: 0.2222 Mini-Batch: 63 - Train Loss: 1.400122046470642 - Test Loss: 1.4028675556182861 64/113 [===============>..............] - ETA: 4s - loss: 1.4001 - accuracy: 0.2338 Mini-Batch: 64 - Train Loss: 1.4043875932693481 - Test Loss: 1.402654767036438 65/113 [================>.............] - ETA: 4s - loss: 1.4044 - accuracy: 0.2269 Mini-Batch: 65 - Train Loss: 1.4018851518630981 - Test Loss: 1.402450442314148 66/113 [================>.............] - ETA: 4s - loss: 1.4019 - accuracy: 0.2269 Mini-Batch: 66 - Train Loss: 1.4000941514968872 - Test Loss: 1.4023076295852661 67/113 [================>.............] - ETA: 4s - loss: 1.4001 - accuracy: 0.2384 Mini-Batch: 67 - Train Loss: 1.4036146402359009 - Test Loss: 1.4021471738815308 68/113 [=================>............] - ETA: 4s - loss: 1.4036 - accuracy: 0.2245 Mini-Batch: 68 - Train Loss: 1.4008760452270508 - Test Loss: 1.4020553827285767 69/113 [=================>............] - ETA: 4s - loss: 1.4009 - accuracy: 0.2384 Mini-Batch: 69 - Train Loss: 1.4019181728363037 - Test Loss: 1.401968240737915 70/113 [=================>............] - ETA: 4s - loss: 1.4019 - accuracy: 0.2292 Mini-Batch: 70 - Train Loss: 1.3997900485992432 - Test Loss: 1.4018679857254028 71/113 [=================>............] - ETA: 4s - loss: 1.3998 - accuracy: 0.2292 Mini-Batch: 71 - Train Loss: 1.4044023752212524 - Test Loss: 1.4017417430877686 72/113 [==================>...........] - ETA: 4s - loss: 1.4044 - accuracy: 0.2222 Mini-Batch: 72 - Train Loss: 1.401944637298584 - Test Loss: 1.4015806913375854 73/113 [==================>...........] - ETA: 4s - loss: 1.4019 - accuracy: 0.2245 Mini-Batch: 73 - Train Loss: 1.401474118232727 - Test Loss: 1.4014416933059692 74/113 [==================>...........] - ETA: 3s - loss: 1.4015 - accuracy: 0.2315 Mini-Batch: 74 - Train Loss: 1.4032235145568848 - Test Loss: 1.4012717008590698 75/113 [==================>...........] - ETA: 3s - loss: 1.4032 - accuracy: 0.2269 Mini-Batch: 75 - Train Loss: 1.4008903503417969 - Test Loss: 1.4010567665100098 76/113 [===================>..........] - ETA: 3s - loss: 1.4009 - accuracy: 0.2245 Mini-Batch: 76 - Train Loss: 1.3993321657180786 - Test Loss: 1.4008651971817017 77/113 [===================>..........] - ETA: 3s - loss: 1.3993 - accuracy: 0.2292 Mini-Batch: 77 - Train Loss: 1.4008506536483765 - Test Loss: 1.4006986618041992 78/113 [===================>..........] - ETA: 3s - loss: 1.4009 - accuracy: 0.2292 Mini-Batch: 78 - Train Loss: 1.4038983583450317 - Test Loss: 1.4004769325256348 79/113 [===================>..........] - ETA: 3s - loss: 1.4039 - accuracy: 0.2153 Mini-Batch: 79 - Train Loss: 1.3997598886489868 - Test Loss: 1.4002724885940552 80/113 [====================>.........] - ETA: 3s - loss: 1.3998 - accuracy: 0.2292 Mini-Batch: 80 - Train Loss: 1.3980560302734375 - Test Loss: 1.4001141786575317 81/113 [====================>.........] - ETA: 3s - loss: 1.3981 - accuracy: 0.2338 Mini-Batch: 81 - Train Loss: 1.4005006551742554 - 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ETA: 0s - loss: 1.3941 - accuracy: 0.2284 113/113 [==============================] - 12s 95ms/step - loss: 1.3944 - accuracy: 0.2250 - val_loss: 1.3944 - val_accuracy: 0.2250 Epoch 2/40 Mini-Batch: 0 - Train Loss: 1.4069831371307373 - Test Loss: 1.3941785097122192 1/113 [..............................] - ETA: 8s - loss: 1.4070 - accuracy: 0.1875 Mini-Batch: 1 - Train Loss: 1.3939368724822998 - Test Loss: 1.3940229415893555 2/113 [..............................] - ETA: 8s - loss: 1.3939 - accuracy: 0.2292 Mini-Batch: 2 - Train Loss: 1.3935885429382324 - Test Loss: 1.3938795328140259 3/113 [..............................] - ETA: 8s - loss: 1.3936 - accuracy: 0.2292 Mini-Batch: 3 - Train Loss: 1.392382264137268 - Test Loss: 1.3937617540359497 4/113 [>.............................] - ETA: 8s - loss: 1.3924 - accuracy: 0.2338 Mini-Batch: 4 - Train Loss: 1.3943145275115967 - Test Loss: 1.3936702013015747 5/113 [>.............................] - ETA: 7s - loss: 1.3943 - accuracy: 0.2292 Mini-Batch: 5 - Train Loss: 1.3921793699264526 - Test Loss: 1.3936156034469604 6/113 [>.............................] - ETA: 7s - loss: 1.3922 - accuracy: 0.2361 Mini-Batch: 6 - Train Loss: 1.3940138816833496 - Test Loss: 1.3935760259628296 7/113 [>.............................] - ETA: 7s - loss: 1.3940 - accuracy: 0.2269 Mini-Batch: 7 - Train Loss: 1.3939601182937622 - Test Loss: 1.3935269117355347 8/113 [=>............................] - ETA: 7s - loss: 1.3940 - accuracy: 0.2245 Mini-Batch: 8 - Train Loss: 1.3934285640716553 - Test Loss: 1.3934605121612549 9/113 [=>............................] - ETA: 7s - loss: 1.3934 - accuracy: 0.2269 Mini-Batch: 9 - Train Loss: 1.3939231634140015 - Test Loss: 1.393415927886963 10/113 [=>............................] - ETA: 7s - loss: 1.3939 - accuracy: 0.2269 Mini-Batch: 10 - Train Loss: 1.3932762145996094 - Test Loss: 1.3933504819869995 11/113 [=>............................] - ETA: 7s - loss: 1.3933 - accuracy: 0.2245 Mini-Batch: 11 - Train Loss: 1.3922927379608154 - 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loss: 0.5593 - accuracy: 0.8300 - val_loss: 0.5593 - val_accuracy: 0.8300 Epoch 14/40 Mini-Batch: 0 - Train Loss: 0.542047381401062 - Test Loss: 0.5590304732322693 1/113 [..............................] - ETA: 10s - loss: 0.5420 - accuracy: 0.8125 Mini-Batch: 1 - Train Loss: 0.5556759238243103 - Test Loss: 0.5587304830551147 2/113 [..............................] - ETA: 11s - loss: 0.5557 - accuracy: 0.8333 Mini-Batch: 2 - Train Loss: 0.5499093532562256 - Test Loss: 0.5583404302597046 3/113 [..............................] - ETA: 11s - loss: 0.5499 - accuracy: 0.8333 Mini-Batch: 3 - Train Loss: 0.5567542910575867 - Test Loss: 0.5577479004859924 4/113 [>.............................] - ETA: 11s - loss: 0.5568 - accuracy: 0.8287 Mini-Batch: 4 - Train Loss: 0.5546014904975891 - Test Loss: 0.5572699308395386 5/113 [>.............................] - ETA: 10s - loss: 0.5546 - accuracy: 0.8356 Mini-Batch: 5 - Train Loss: 0.558781087398529 - Test Loss: 0.5569167137145996 6/113 [>.............................] - 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Train Loss: 0.41234925389289856 - Test Loss: 0.4302028715610504 14/113 [==>...........................] - ETA: 11s - loss: 0.4123 - accuracy: 0.8657 Mini-Batch: 14 - Train Loss: 0.4233589470386505 - Test Loss: 0.4304046630859375 15/113 [==>...........................] - ETA: 11s - loss: 0.4234 - accuracy: 0.8657 Mini-Batch: 15 - Train Loss: 0.4298136532306671 - Test Loss: 0.4308619201183319 16/113 [===>..........................] - ETA: 10s - loss: 0.4298 - accuracy: 0.8588 Mini-Batch: 16 - Train Loss: 0.42114874720573425 - Test Loss: 0.43125638365745544 17/113 [===>..........................] - ETA: 10s - loss: 0.4211 - accuracy: 0.8657 Mini-Batch: 17 - Train Loss: 0.42460575699806213 - Test Loss: 0.43129345774650574 18/113 [===>..........................] - ETA: 10s - loss: 0.4246 - accuracy: 0.8611 Mini-Batch: 18 - Train Loss: 0.42124733328819275 - Test Loss: 0.43109339475631714 19/113 [====>.........................] - ETA: 10s - loss: 0.4212 - accuracy: 0.8704 Mini-Batch: 19 - Train Loss: 0.4198923408985138 - 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Train Loss: 0.41986966133117676 - Test Loss: 0.4250537157058716 39/113 [=========>....................] - ETA: 8s - loss: 0.4199 - accuracy: 0.8657 Mini-Batch: 39 - Train Loss: 0.4271939992904663 - Test Loss: 0.4249010384082794 40/113 [=========>....................] - ETA: 7s - loss: 0.4272 - accuracy: 0.8634 Mini-Batch: 40 - Train Loss: 0.41495686769485474 - Test Loss: 0.4246707558631897 41/113 [=========>....................] - ETA: 7s - loss: 0.4150 - accuracy: 0.8681 Mini-Batch: 41 - Train Loss: 0.40998542308807373 - Test Loss: 0.4245373010635376 42/113 [==========>...................] - ETA: 7s - loss: 0.4100 - accuracy: 0.8727 Mini-Batch: 42 - Train Loss: 0.425897479057312 - Test Loss: 0.4243854582309723 43/113 [==========>...................] - ETA: 7s - loss: 0.4259 - accuracy: 0.8611 Mini-Batch: 43 - Train Loss: 0.4276593029499054 - Test Loss: 0.4242578148841858 44/113 [==========>...................] - ETA: 7s - loss: 0.4277 - accuracy: 0.8634 Mini-Batch: 44 - Train Loss: 0.44083061814308167 - 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accuracy: 0.8704 Mini-Batch: 63 - Train Loss: 0.4133082628250122 - Test Loss: 0.4241977632045746 64/113 [===============>..............] - ETA: 5s - loss: 0.4133 - accuracy: 0.8681 Mini-Batch: 64 - Train Loss: 0.41024914383888245 - Test Loss: 0.42438817024230957 65/113 [================>.............] - ETA: 5s - loss: 0.4102 - accuracy: 0.8750 Mini-Batch: 65 - Train Loss: 0.4235474169254303 - Test Loss: 0.4246334731578827 66/113 [================>.............] - ETA: 5s - loss: 0.4235 - accuracy: 0.8657 Mini-Batch: 66 - Train Loss: 0.4098242223262787 - Test Loss: 0.42480751872062683 67/113 [================>.............] - ETA: 4s - loss: 0.4098 - accuracy: 0.8704 Mini-Batch: 67 - Train Loss: 0.4154651463031769 - Test Loss: 0.4250396490097046 68/113 [=================>............] - ETA: 4s - loss: 0.4155 - accuracy: 0.8681 Mini-Batch: 68 - Train Loss: 0.4105403423309326 - Test Loss: 0.4253029227256775 69/113 [=================>............] - ETA: 4s - loss: 0.4105 - accuracy: 0.8681 Mini-Batch: 69 - 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loss: 0.4257 - accuracy: 0.8630 113/113 [==============================] - 12s 108ms/step - loss: 0.4226 - accuracy: 0.8650 - val_loss: 0.4226 - val_accuracy: 0.8650 Epoch 27/40 Mini-Batch: 0 - Train Loss: 0.36427822709083557 - Test Loss: 0.42221003770828247 1/113 [..............................] - ETA: 18s - loss: 0.3643 - accuracy: 0.8750 Mini-Batch: 1 - Train Loss: 0.4088749289512634 - Test Loss: 0.42178913950920105 2/113 [..............................] - ETA: 11s - loss: 0.4089 - accuracy: 0.8704 Mini-Batch: 2 - Train Loss: 0.4083274304866791 - Test Loss: 0.42142999172210693 3/113 [..............................] - ETA: 11s - loss: 0.4083 - accuracy: 0.8704 Mini-Batch: 3 - Train Loss: 0.4138956069946289 - Test Loss: 0.42114996910095215 4/113 [>.............................] - ETA: 12s - loss: 0.4139 - accuracy: 0.8681 Mini-Batch: 4 - Train Loss: 0.42298704385757446 - Test Loss: 0.42089036107063293 5/113 [>.............................] - ETA: 11s - loss: 0.4230 - accuracy: 0.8588 Mini-Batch: 5 - Train Loss: 0.40711790323257446 - Test Loss: 0.4205845296382904 6/113 [>.............................] - ETA: 11s - loss: 0.4071 - accuracy: 0.8727 Mini-Batch: 6 - Train Loss: 0.40679481625556946 - Test Loss: 0.42039158940315247 7/113 [>.............................] - ETA: 11s - loss: 0.4068 - accuracy: 0.8750 Mini-Batch: 7 - Train Loss: 0.409199595451355 - Test Loss: 0.42031729221343994 8/113 [=>............................] - ETA: 11s - loss: 0.4092 - accuracy: 0.8750 Mini-Batch: 8 - Train Loss: 0.41448959708213806 - Test Loss: 0.4202594757080078 9/113 [=>............................] - ETA: 11s - loss: 0.4145 - accuracy: 0.8727 Mini-Batch: 9 - Train Loss: 0.43600142002105713 - Test Loss: 0.4202684462070465 10/113 [=>............................] - ETA: 10s - loss: 0.4360 - accuracy: 0.8681 Mini-Batch: 10 - Train Loss: 0.4230119585990906 - Test Loss: 0.4202607274055481 11/113 [=>............................] - ETA: 10s - loss: 0.4230 - accuracy: 0.8796 Mini-Batch: 11 - Train Loss: 0.40977853536605835 - 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loss: 0.4288 - accuracy: 0.8634 Mini-Batch: 24 - Train Loss: 0.40768295526504517 - Test Loss: 0.42333266139030457 25/113 [=====>........................] - ETA: 9s - loss: 0.4077 - accuracy: 0.8773 Mini-Batch: 25 - Train Loss: 0.4092737138271332 - Test Loss: 0.42326217889785767 26/113 [=====>........................] - ETA: 9s - loss: 0.4093 - accuracy: 0.8750 Mini-Batch: 26 - Train Loss: 0.41991230845451355 - Test Loss: 0.42322441935539246 27/113 [======>.......................] - ETA: 9s - loss: 0.4199 - accuracy: 0.8657 Mini-Batch: 27 - Train Loss: 0.4218841791152954 - Test Loss: 0.4231323003768921 28/113 [======>.......................] - ETA: 9s - loss: 0.4219 - accuracy: 0.8704 Mini-Batch: 28 - Train Loss: 0.4340853989124298 - Test Loss: 0.4233507513999939 29/113 [======>.......................] - ETA: 8s - loss: 0.4341 - accuracy: 0.8611 Mini-Batch: 29 - Train Loss: 0.4083348512649536 - Test Loss: 0.42371177673339844 30/113 [======>.......................] - ETA: 8s - loss: 0.4083 - 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Train Loss: 0.4191935062408447 - Test Loss: 0.4281538724899292 37/113 [========>.....................] - ETA: 7s - loss: 0.4192 - accuracy: 0.8588 Mini-Batch: 37 - Train Loss: 0.4135149121284485 - Test Loss: 0.42896220088005066 38/113 [=========>....................] - ETA: 7s - loss: 0.4135 - accuracy: 0.8634 Mini-Batch: 38 - Train Loss: 0.41720446944236755 - Test Loss: 0.42958229780197144 39/113 [=========>....................] - ETA: 7s - loss: 0.4172 - accuracy: 0.8611 Mini-Batch: 39 - Train Loss: 0.4240402579307556 - Test Loss: 0.42991316318511963 40/113 [=========>....................] - ETA: 7s - loss: 0.4240 - accuracy: 0.8565 Mini-Batch: 40 - Train Loss: 0.41756826639175415 - Test Loss: 0.43035072088241577 41/113 [=========>....................] - ETA: 7s - loss: 0.4176 - accuracy: 0.8657 Mini-Batch: 41 - Train Loss: 0.43416938185691833 - Test Loss: 0.43027621507644653 42/113 [==========>...................] - ETA: 7s - loss: 0.4342 - accuracy: 0.8634 Mini-Batch: 42 - Train Loss: 0.4248107373714447 - 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ETA: 6s - loss: 0.4255 - accuracy: 0.8681 Mini-Batch: 49 - Train Loss: 0.41249069571495056 - Test Loss: 0.42641007900238037 50/113 [============>.................] - ETA: 6s - loss: 0.4125 - accuracy: 0.8727 Mini-Batch: 50 - Train Loss: 0.4145420789718628 - Test Loss: 0.42583605647087097 51/113 [============>.................] - ETA: 6s - loss: 0.4145 - accuracy: 0.8657 Mini-Batch: 51 - Train Loss: 0.4514780044555664 - Test Loss: 0.4251148998737335 52/113 [============>.................] - ETA: 6s - loss: 0.4515 - accuracy: 0.8588 Mini-Batch: 52 - Train Loss: 0.4177776277065277 - Test Loss: 0.4247457981109619 53/113 [=============>................] - ETA: 6s - loss: 0.4178 - accuracy: 0.8681 Mini-Batch: 53 - Train Loss: 0.4138360619544983 - Test Loss: 0.4244682788848877 54/113 [=============>................] - ETA: 6s - loss: 0.4138 - accuracy: 0.8681 Mini-Batch: 54 - Train Loss: 0.41842120885849 - Test Loss: 0.4243198335170746 55/113 [=============>................] - ETA: 6s - loss: 0.4184 - 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Train Loss: 0.42057114839553833 - Test Loss: 0.42379483580589294 62/113 [===============>..............] - ETA: 5s - loss: 0.4206 - accuracy: 0.8657 Mini-Batch: 62 - Train Loss: 0.4120122194290161 - Test Loss: 0.423612505197525 63/113 [===============>..............] - ETA: 5s - loss: 0.4120 - accuracy: 0.8681 Mini-Batch: 63 - Train Loss: 0.41311660408973694 - Test Loss: 0.4234437644481659 64/113 [===============>..............] - ETA: 5s - loss: 0.4131 - accuracy: 0.8657 Mini-Batch: 64 - Train Loss: 0.42371031641960144 - Test Loss: 0.42308974266052246 65/113 [================>.............] - ETA: 5s - loss: 0.4237 - accuracy: 0.8588 Mini-Batch: 65 - Train Loss: 0.42055538296699524 - Test Loss: 0.4225526452064514 66/113 [================>.............] - ETA: 4s - loss: 0.4206 - accuracy: 0.8588 Mini-Batch: 66 - Train Loss: 0.4215046465396881 - Test Loss: 0.42189568281173706 67/113 [================>.............] - ETA: 4s - loss: 0.4215 - accuracy: 0.8681 Mini-Batch: 67 - Train Loss: 0.40398916602134705 - 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Train Loss: 0.402800053358078 - Test Loss: 0.41709935665130615 33/113 [=======>......................] - ETA: 8s - loss: 0.4028 - accuracy: 0.8681 Mini-Batch: 33 - Train Loss: 0.42043501138687134 - Test Loss: 0.41717368364334106 34/113 [========>.....................] - ETA: 8s - loss: 0.4204 - accuracy: 0.8611 Mini-Batch: 34 - Train Loss: 0.4135991334915161 - Test Loss: 0.4173089265823364 35/113 [========>.....................] - ETA: 8s - loss: 0.4136 - accuracy: 0.8657 Mini-Batch: 35 - Train Loss: 0.40578803420066833 - Test Loss: 0.4173640012741089 36/113 [========>.....................] - ETA: 8s - loss: 0.4058 - accuracy: 0.8681 Mini-Batch: 36 - Train Loss: 0.41349709033966064 - Test Loss: 0.4173106849193573 37/113 [========>.....................] - ETA: 8s - loss: 0.4135 - accuracy: 0.8634 Mini-Batch: 37 - Train Loss: 0.39804860949516296 - Test Loss: 0.41730988025665283 38/113 [=========>....................] - ETA: 8s - loss: 0.3980 - accuracy: 0.8727 Mini-Batch: 38 - Train Loss: 0.40524575114250183 - 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ETA: 7s - loss: 0.4097 - accuracy: 0.8727 Mini-Batch: 45 - Train Loss: 0.41080936789512634 - Test Loss: 0.41591548919677734 46/113 [===========>..................] - ETA: 7s - loss: 0.4108 - accuracy: 0.8727 Mini-Batch: 46 - Train Loss: 0.41125717759132385 - Test Loss: 0.41557902097702026 47/113 [===========>..................] - ETA: 7s - loss: 0.4113 - accuracy: 0.8681 Mini-Batch: 47 - Train Loss: 0.4019148349761963 - Test Loss: 0.415348082780838 48/113 [===========>..................] - ETA: 6s - loss: 0.4019 - accuracy: 0.8773 Mini-Batch: 48 - Train Loss: 0.41582202911376953 - Test Loss: 0.4149322509765625 49/113 [============>.................] - ETA: 6s - loss: 0.4158 - accuracy: 0.8681 Mini-Batch: 49 - Train Loss: 0.4045187532901764 - Test Loss: 0.4147089123725891 50/113 [============>.................] - ETA: 6s - loss: 0.4045 - accuracy: 0.8704 Mini-Batch: 50 - Train Loss: 0.4105958640575409 - Test Loss: 0.4146924614906311 51/113 [============>.................] - ETA: 6s - loss: 0.4106 - 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12s 107ms/step - loss: 0.4119 - accuracy: 0.8750 - val_loss: 0.4119 - val_accuracy: 0.8750 Epoch 30/40 Mini-Batch: 0 - Train Loss: 0.4873958230018616 - Test Loss: 0.4119291603565216 1/113 [..............................] - ETA: 11s - loss: 0.4874 - accuracy: 0.8750 Mini-Batch: 1 - Train Loss: 0.40974920988082886 - Test Loss: 0.41189318895339966 2/113 [..............................] - ETA: 11s - loss: 0.4097 - accuracy: 0.8773 Mini-Batch: 2 - Train Loss: 0.40914949774742126 - Test Loss: 0.41194483637809753 3/113 [..............................] - ETA: 14s - loss: 0.4091 - accuracy: 0.8796 Mini-Batch: 3 - Train Loss: 0.40880104899406433 - Test Loss: 0.4120197594165802 4/113 [>.............................] - ETA: 12s - loss: 0.4088 - accuracy: 0.8773 Mini-Batch: 4 - Train Loss: 0.4003039598464966 - Test Loss: 0.4120468497276306 5/113 [>.............................] - ETA: 12s - loss: 0.4003 - accuracy: 0.8796 Mini-Batch: 5 - Train Loss: 0.3974590301513672 - Test Loss: 0.4120347499847412 6/113 [>.............................] - 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ETA: 7s - loss: 0.3736 - accuracy: 0.8935 Mini-Batch: 43 - Train Loss: 0.40013810992240906 - Test Loss: 0.3864903151988983 44/113 [==========>...................] - ETA: 7s - loss: 0.4001 - accuracy: 0.8866 Mini-Batch: 44 - Train Loss: 0.3757970333099365 - Test Loss: 0.38641679286956787 45/113 [==========>...................] - ETA: 7s - loss: 0.3758 - accuracy: 0.8912 Mini-Batch: 45 - Train Loss: 0.3924011290073395 - Test Loss: 0.3864658772945404 46/113 [===========>..................] - ETA: 7s - loss: 0.3924 - accuracy: 0.8819 Mini-Batch: 46 - Train Loss: 0.37968382239341736 - Test Loss: 0.3864176273345947 47/113 [===========>..................] - ETA: 6s - loss: 0.3797 - accuracy: 0.8866 Mini-Batch: 47 - Train Loss: 0.3802343010902405 - Test Loss: 0.3863792419433594 48/113 [===========>..................] - ETA: 6s - loss: 0.3802 - accuracy: 0.8843 Mini-Batch: 48 - Train Loss: 0.3745099604129791 - Test Loss: 0.3863569498062134 49/113 [============>.................] - ETA: 6s - loss: 0.3745 - 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