新的训练集中标签为0的数量： 10000 新的训练集中标签为1的数量： 90000 新的训练集数据形状： (100000, 2, 28, 28) 新的训练集标签形状： (100000,) 新的测试集数据形状： (4000, 2, 28, 28) 新的测试集标签形状： (4000,) Epoch 1/8 Mini-Batch: 0 - Train Loss: 1.3704814910888672 - Test Loss: 0.8070662617683411 1/13 [=>............................] - ETA: 3:24 - loss: 1.3705 - accuracy: 0.1821 Mini-Batch: 1 - Train Loss: 1.3232592344284058 - Test Loss: 0.7049447894096375 2/13 [===>..........................] - ETA: 1:13 - loss: 1.3233 - accuracy: 0.7657 Mini-Batch: 2 - Train Loss: 1.1738311052322388 - Test Loss: 0.7040625810623169 3/13 [=====>........................] - ETA: 1:35 - loss: 1.1738 - accuracy: 0.2467 Mini-Batch: 3 - Train Loss: 1.1524195671081543 - Test Loss: 0.6949866414070129 4/13 [========>.....................] - ETA: 1:21 - loss: 1.1524 - accuracy: 0.2333 Mini-Batch: 4 - Train Loss: 1.1628661155700684 - Test Loss: 0.6931081414222717 5/13 [==========>...................] - ETA: 1:05 - loss: 1.1629 - accuracy: 0.2655 Mini-Batch: 5 - Train Loss: 1.1305285692214966 - Test Loss: 0.69329833984375 6/13 [============>.................] - ETA: 54s - loss: 1.1305 - accuracy: 0.3877 Mini-Batch: 6 - Train Loss: 1.1373525857925415 - Test Loss: 0.6939992308616638 7/13 [===============>..............] - ETA: 49s - loss: 1.1374 - accuracy: 0.5679 Mini-Batch: 7 - Train Loss: 1.1505072116851807 - Test Loss: 0.6944741606712341 8/13 [=================>............] - ETA: 41s - loss: 1.1505 - accuracy: 0.6466 Mini-Batch: 8 - Train Loss: 1.1223905086517334 - Test Loss: 0.6947382688522339 9/13 [===================>..........] - ETA: 32s - loss: 1.1224 - accuracy: 0.6630 Mini-Batch: 9 - Train Loss: 1.136996865272522 - Test Loss: 0.6948599815368652 10/13 [======================>.......] - ETA: 24s - loss: 1.1370 - accuracy: 0.6349 Mini-Batch: 10 - Train Loss: 1.1322147846221924 - Test Loss: 0.6955432295799255 11/13 [========================>.....] - ETA: 16s - loss: 1.1322 - accuracy: 0.5708 Mini-Batch: 11 - Train Loss: 1.0930404663085938 - Test Loss: 0.6978659629821777 12/13 [==========================>...] - ETA: 8s - loss: 1.0930 - accuracy: 0.4988 Mini-Batch: 12 - Train Loss: 0.9875838756561279 - Test Loss: 0.7024306058883667 13/13 [==============================] - ETA: 0s - loss: 0.9876 - accuracy: 0.4992 13/13 [==============================] - 112s 8s/step - loss: 0.7024 - accuracy: 0.5090 Epoch 2/8 Mini-Batch: 0 - Train Loss: 1.26127290725708 - Test Loss: 0.7148759961128235 1/13 [=>............................] - ETA: 2:05 - loss: 1.2613 - accuracy: 0.6031 Mini-Batch: 1 - Train Loss: 1.0474162101745605 - Test Loss: 0.7388752102851868 2/13 [===>..........................] - ETA: 1:16 - loss: 1.0474 - accuracy: 0.6472 Mini-Batch: 2 - Train Loss: 1.0337097644805908 - Test Loss: 0.7512112259864807 3/13 [=====>........................] - ETA: 1:25 - loss: 1.0337 - accuracy: 0.6953 Mini-Batch: 3 - Train Loss: 1.0297296047210693 - Test Loss: 0.7584330439567566 4/13 [========>.....................] - ETA: 1:16 - loss: 1.0297 - accuracy: 0.6687 Mini-Batch: 4 - Train Loss: 0.9973580837249756 - Test Loss: 0.7985894680023193 5/13 [==========>...................] - ETA: 1:04 - loss: 0.9974 - accuracy: 0.6179 Mini-Batch: 5 - Train Loss: 1.0292116403579712 - Test Loss: 0.8346388339996338 6/13 [============>.................] - ETA: 1:02 - loss: 1.0292 - accuracy: 0.6729 Mini-Batch: 6 - Train Loss: 1.015864610671997 - Test Loss: 0.8284664750099182 7/13 [===============>..............] - ETA: 51s - loss: 1.0159 - accuracy: 0.6983 Mini-Batch: 7 - Train Loss: 0.9729039072990417 - Test Loss: 0.8368786573410034 8/13 [=================>............] - ETA: 41s - loss: 0.9729 - accuracy: 0.6826 Mini-Batch: 8 - Train Loss: 0.9448509216308594 - Test Loss: 0.8759660124778748 9/13 [===================>..........] - ETA: 32s - loss: 0.9449 - accuracy: 0.6835 Mini-Batch: 9 - Train Loss: 0.9593462944030762 - Test Loss: 0.8762127757072449 10/13 [======================>.......] - ETA: 30s - loss: 0.9593 - accuracy: 0.7147 Mini-Batch: 10 - Train Loss: 0.8913134932518005 - Test Loss: 0.8998753428459167 11/13 [========================>.....] - ETA: 22s - loss: 0.8913 - accuracy: 0.7152 Mini-Batch: 11 - Train Loss: 0.8767571449279785 - Test Loss: 0.9172435402870178 12/13 [==========================>...] - ETA: 10s - loss: 0.8768 - accuracy: 0.7282 Mini-Batch: 12 - Train Loss: 0.8604816794395447 - Test Loss: 0.9924472570419312 13/13 [==============================] - ETA: 0s - loss: 0.8605 - accuracy: 0.6780 13/13 [==============================] - 134s 10s/step - loss: 0.9924 - accuracy: 0.5217 Epoch 3/8 Mini-Batch: 0 - Train Loss: 0.7624726891517639 - Test Loss: 1.0278475284576416 1/13 [=>............................] - ETA: 2:04 - loss: 0.7625 - accuracy: 0.8680 Mini-Batch: 1 - Train Loss: 0.8058843016624451 - Test Loss: 1.1305017471313477 2/13 [===>..........................] - ETA: 2:41 - loss: 0.8059 - accuracy: 0.7553 Mini-Batch: 2 - Train Loss: 0.7954080700874329 - Test Loss: 1.2753300666809082 3/13 [=====>........................] - ETA: 3:26 - loss: 0.7954 - accuracy: 0.7630 Mini-Batch: 3 - Train Loss: 0.8596401214599609 - Test Loss: 1.0967798233032227 4/13 [========>.....................] - ETA: 2:31 - loss: 0.8596 - accuracy: 0.7671 Mini-Batch: 4 - Train Loss: 0.7966662049293518 - Test Loss: 1.5472922325134277 5/13 [==========>...................] - ETA: 1:55 - loss: 0.7967 - accuracy: 0.7331 Mini-Batch: 5 - Train Loss: 0.8643185496330261 - Test Loss: 1.5379530191421509 6/13 [============>.................] - ETA: 1:30 - loss: 0.8643 - accuracy: 0.7768 Mini-Batch: 6 - Train Loss: 0.8520781993865967 - Test Loss: 1.3681435585021973 7/13 [===============>..............] - ETA: 1:12 - loss: 0.8521 - accuracy: 0.7701 Mini-Batch: 7 - Train Loss: 0.7883479595184326 - Test Loss: 1.514763355255127 8/13 [=================>............] - ETA: 1:01 - loss: 0.7883 - accuracy: 0.7725 Mini-Batch: 8 - Train Loss: 0.806575357913971 - Test Loss: 1.8307693004608154 9/13 [===================>..........] - ETA: 47s - loss: 0.8066 - accuracy: 0.7754 Mini-Batch: 9 - Train Loss: 0.9315428137779236 - Test Loss: 1.6703592538833618 10/13 [======================>.......] - ETA: 34s - loss: 0.9315 - accuracy: 0.7738 Mini-Batch: 10 - Train Loss: 0.8402405381202698 - Test Loss: 1.6341956853866577 11/13 [========================>.....] - ETA: 21s - loss: 0.8402 - accuracy: 0.7731 Mini-Batch: 11 - Train Loss: 0.8258138298988342 - Test Loss: 1.8664593696594238 12/13 [==========================>...] - ETA: 10s - loss: 0.8258 - accuracy: 0.7777 Mini-Batch: 12 - Train Loss: 1.1164039373397827 - Test Loss: 2.132070302963257 13/13 [==============================] - ETA: 0s - loss: 1.1164 - accuracy: 0.7099 13/13 [==============================] - 131s 10s/step - loss: 2.1321 - accuracy: 0.5050 Epoch 4/8 Mini-Batch: 0 - Train Loss: 0.3846116364002228 - Test Loss: 1.8499549627304077 1/13 [=>............................] - ETA: 1:23 - loss: 0.3846 - accuracy: 0.9209 Mini-Batch: 1 - Train Loss: 0.8613110184669495 - Test Loss: 1.849223017692566 2/13 [===>..........................] - ETA: 1:14 - loss: 0.8613 - accuracy: 0.7773 Mini-Batch: 2 - Train Loss: 0.880713939666748 - Test Loss: 2.218985080718994 3/13 [=====>........................] - ETA: 1:07 - loss: 0.8807 - accuracy: 0.7736 Mini-Batch: 3 - Train Loss: 0.9710184931755066 - Test Loss: 2.392652988433838 4/13 [========>.....................] - ETA: 1:01 - loss: 0.9710 - accuracy: 0.7782 Mini-Batch: 4 - Train Loss: 1.0323491096496582 - Test Loss: 2.114804744720459 5/13 [==========>...................] - ETA: 54s - loss: 1.0323 - accuracy: 0.7807 Mini-Batch: 5 - Train Loss: 0.9429555535316467 - Test Loss: 2.1857619285583496 6/13 [============>.................] - ETA: 47s - loss: 0.9430 - accuracy: 0.7735 Mini-Batch: 6 - Train Loss: 0.945030689239502 - Test Loss: 2.5703797340393066 7/13 [===============>..............] - ETA: 40s - loss: 0.9450 - accuracy: 0.7780 Mini-Batch: 7 - Train Loss: 1.0612443685531616 - Test Loss: 2.6978626251220703 8/13 [=================>............] - ETA: 34s - loss: 1.0612 - accuracy: 0.7830 Mini-Batch: 8 - Train Loss: 1.108849287033081 - Test Loss: 2.5163419246673584 9/13 [===================>..........] - ETA: 27s - loss: 1.1088 - accuracy: 0.7822 Mini-Batch: 9 - Train Loss: 1.0419955253601074 - Test Loss: 2.5915865898132324 10/13 [======================>.......] - ETA: 20s - loss: 1.0420 - accuracy: 0.7793 Mini-Batch: 10 - Train Loss: 1.0724812746047974 - Test Loss: 2.9231338500976562 11/13 [========================>.....] - ETA: 14s - loss: 1.0725 - accuracy: 0.7775 Mini-Batch: 11 - Train Loss: 1.1864302158355713 - Test Loss: 2.8847813606262207 12/13 [==========================>...] - ETA: 7s - loss: 1.1864 - accuracy: 0.7801 Mini-Batch: 12 - Train Loss: 1.5846213102340698 - Test Loss: 2.7587125301361084 13/13 [==============================] - ETA: 0s - loss: 1.5846 - accuracy: 0.7126 13/13 [==============================] - 95s 7s/step - loss: 2.7587 - accuracy: 0.5153 Epoch 5/8 Mini-Batch: 0 - Train Loss: 0.2927277684211731 - Test Loss: 2.7630274295806885 1/13 [=>............................] - ETA: 1:27 - loss: 0.2927 - accuracy: 0.9105 Mini-Batch: 1 - Train Loss: 1.0939931869506836 - Test Loss: 2.9458553791046143 2/13 [===>..........................] - ETA: 1:12 - loss: 1.0940 - accuracy: 0.7846 Mini-Batch: 2 - Train Loss: 1.153495192527771 - Test Loss: 2.954869031906128 3/13 [=====>........................] - ETA: 1:31 - loss: 1.1535 - accuracy: 0.7889 Mini-Batch: 3 - Train Loss: 1.1509133577346802 - Test Loss: 2.899944305419922 4/13 [========>.....................] - ETA: 1:22 - loss: 1.1509 - accuracy: 0.7867 Mini-Batch: 4 - Train Loss: 1.1295195817947388 - Test Loss: 3.005629301071167 5/13 [==========>...................] - ETA: 1:08 - loss: 1.1295 - accuracy: 0.7865 Mini-Batch: 5 - Train Loss: 1.1626322269439697 - Test Loss: 3.093799591064453 6/13 [============>.................] - ETA: 57s - loss: 1.1626 - accuracy: 0.7891 Mini-Batch: 6 - Train Loss: 1.1867822408676147 - Test Loss: 3.0037639141082764 7/13 [===============>..............] - ETA: 48s - loss: 1.1868 - accuracy: 0.7959 Mini-Batch: 7 - Train Loss: 1.1583958864212036 - Test Loss: 3.045245885848999 8/13 [=================>............] - ETA: 41s - loss: 1.1584 - accuracy: 0.7905 Mini-Batch: 8 - Train Loss: 1.1686978340148926 - Test Loss: 3.1536755561828613 9/13 [===================>..........] - ETA: 33s - loss: 1.1687 - accuracy: 0.7937 Mini-Batch: 9 - Train Loss: 1.2034659385681152 - Test Loss: 3.049739360809326 10/13 [======================>.......] - ETA: 25s - loss: 1.2035 - accuracy: 0.8008 Mini-Batch: 10 - Train Loss: 1.171008586883545 - Test Loss: 3.20231294631958 11/13 [========================>.....] - ETA: 16s - loss: 1.1710 - accuracy: 0.7918 Mini-Batch: 11 - Train Loss: 1.210276484489441 - Test Loss: 3.3900089263916016 12/13 [==========================>...] - ETA: 8s - loss: 1.2103 - accuracy: 0.8004 Mini-Batch: 12 - Train Loss: 1.812977910041809 - Test Loss: 3.1880850791931152 13/13 [==============================] - ETA: 0s - loss: 1.8130 - accuracy: 0.7319 13/13 [==============================] - 104s 8s/step - loss: 3.1881 - accuracy: 0.5293 Epoch 6/8 Mini-Batch: 0 - Train Loss: 0.20354822278022766 - Test Loss: 3.388404130935669 1/13 [=>............................] - ETA: 2:12 - loss: 0.2035 - accuracy: 0.9314 Mini-Batch: 1 - Train Loss: 1.2537163496017456 - Test Loss: 3.569504976272583 2/13 [===>..........................] - ETA: 1:17 - loss: 1.2537 - accuracy: 0.8054 Mini-Batch: 2 - Train Loss: 1.3378239870071411 - Test Loss: 3.233494281768799 3/13 [=====>........................] - ETA: 1:07 - loss: 1.3378 - accuracy: 0.8082 Mini-Batch: 3 - Train Loss: 1.2072949409484863 - Test Loss: 3.22519850730896 4/13 [========>.....................] - ETA: 1:10 - loss: 1.2073 - accuracy: 0.8035 Mini-Batch: 4 - Train Loss: 1.2005373239517212 - Test Loss: 3.6796796321868896 5/13 [==========>...................] - ETA: 1:03 - loss: 1.2005 - accuracy: 0.8017 Mini-Batch: 5 - Train Loss: 1.3552075624465942 - Test Loss: 3.5672314167022705 6/13 [============>.................] - ETA: 54s - loss: 1.3552 - accuracy: 0.8160 Mini-Batch: 6 - Train Loss: 1.321785569190979 - Test Loss: 3.227956771850586 7/13 [===============>..............] - ETA: 45s - loss: 1.3218 - accuracy: 0.8095 Mini-Batch: 7 - Train Loss: 1.1981490850448608 - Test Loss: 3.3762001991271973 8/13 [=================>............] - ETA: 37s - loss: 1.1981 - accuracy: 0.8042 Mini-Batch: 8 - Train Loss: 1.2405564785003662 - Test Loss: 3.8865609169006348 9/13 [===================>..........] - ETA: 30s - loss: 1.2406 - accuracy: 0.8071 Mini-Batch: 9 - Train Loss: 1.414210319519043 - Test Loss: 3.797438144683838 10/13 [======================>.......] - ETA: 23s - loss: 1.4142 - accuracy: 0.8162 Mini-Batch: 10 - Train Loss: 1.3778018951416016 - Test Loss: 3.275716781616211 11/13 [========================>.....] - ETA: 15s - loss: 1.3778 - accuracy: 0.8184 Mini-Batch: 11 - Train Loss: 1.2071778774261475 - Test Loss: 3.3003509044647217 12/13 [==========================>...] - ETA: 7s - loss: 1.2072 - accuracy: 0.8057 Mini-Batch: 12 - Train Loss: 1.7281159162521362 - Test Loss: 3.880044460296631 13/13 [==============================] - ETA: 0s - loss: 1.7281 - accuracy: 0.7401 13/13 [==============================] - 102s 8s/step - loss: 3.8800 - accuracy: 0.5230 Epoch 7/8 Mini-Batch: 0 - Train Loss: 0.1603265106678009 - Test Loss: 3.909986972808838 1/13 [=>............................] - ETA: 5:28 - loss: 0.1603 - accuracy: 0.9690 Mini-Batch: 1 - Train Loss: 1.4090158939361572 - Test Loss: 3.4714770317077637 2/13 [===>..........................] - ETA: 4:38 - loss: 1.4090 - accuracy: 0.8202 Mini-Batch: 2 - Train Loss: 1.2511721849441528 - Test Loss: 3.389291524887085 3/13 [=====>........................] - ETA: 2:56 - loss: 1.2512 - accuracy: 0.8133 Mini-Batch: 3 - Train Loss: 1.2277476787567139 - Test Loss: 3.805889129638672 4/13 [========>.....................] - ETA: 2:10 - loss: 1.2277 - accuracy: 0.8142 Mini-Batch: 4 - Train Loss: 1.3577497005462646 - Test Loss: 4.067346096038818 5/13 [==========>...................] - ETA: 1:45 - loss: 1.3577 - accuracy: 0.8207 Mini-Batch: 5 - Train Loss: 1.4658840894699097 - Test Loss: 3.4691720008850098 6/13 [============>.................] - ETA: 1:25 - loss: 1.4659 - accuracy: 0.8258 Mini-Batch: 6 - Train Loss: 1.255787968635559 - Test Loss: 3.3561930656433105 7/13 [===============>..............] - ETA: 1:18 - loss: 1.2558 - accuracy: 0.8158 Mini-Batch: 7 - Train Loss: 1.2163209915161133 - Test Loss: 3.7894351482391357 8/13 [=================>............] - ETA: 1:05 - loss: 1.2163 - accuracy: 0.8162 Mini-Batch: 8 - Train Loss: 1.358101725578308 - Test Loss: 4.046228885650635 9/13 [===================>..........] - ETA: 50s - loss: 1.3581 - accuracy: 0.8218 Mini-Batch: 9 - Train Loss: 1.4329652786254883 - Test Loss: 3.860408067703247 10/13 [======================>.......] - ETA: 35s - loss: 1.4330 - accuracy: 0.8268 Mini-Batch: 10 - Train Loss: 1.377528190612793 - Test Loss: 3.5634729862213135 11/13 [========================>.....] - ETA: 22s - loss: 1.3775 - accuracy: 0.8237 Mini-Batch: 11 - Train Loss: 1.2704795598983765 - Test Loss: 3.5663609504699707 12/13 [==========================>...] - ETA: 11s - loss: 1.2705 - accuracy: 0.8208 Mini-Batch: 12 - Train Loss: 1.856017827987671 - Test Loss: 3.6547136306762695 13/13 [==============================] - ETA: 0s - loss: 1.8560 - accuracy: 0.7495 13/13 [==============================] - 154s 11s/step - loss: 3.6547 - accuracy: 0.5343 Epoch 8/8 Mini-Batch: 0 - Train Loss: 0.12950681149959564 - Test Loss: 3.925494909286499 1/13 [=>............................] - ETA: 2:19 - loss: 0.1295 - accuracy: 0.9651 Mini-Batch: 1 - Train Loss: 1.3813152313232422 - Test Loss: 4.099809646606445 2/13 [===>..........................] - ETA: 1:24 - loss: 1.3813 - accuracy: 0.8253 Mini-Batch: 2 - Train Loss: 1.44818913936615 - Test Loss: 3.9081501960754395 3/13 [=====>........................] - ETA: 1:13 - loss: 1.4482 - accuracy: 0.8288 Mini-Batch: 3 - Train Loss: 1.381140947341919 - Test Loss: 3.785891056060791 4/13 [========>.....................] - ETA: 1:22 - loss: 1.3811 - accuracy: 0.8263 Mini-Batch: 4 - Train Loss: 1.3440815210342407 - Test Loss: 3.969773530960083 5/13 [==========>...................] - ETA: 1:10 - loss: 1.3441 - accuracy: 0.8220 Mini-Batch: 5 - Train Loss: 1.3989022970199585 - Test Loss: 4.227970123291016 6/13 [============>.................] - ETA: 58s - loss: 1.3989 - accuracy: 0.8247 Mini-Batch: 6 - Train Loss: 1.4790382385253906 - Test Loss: 4.255434036254883 7/13 [===============>..............] - ETA: 48s - loss: 1.4790 - accuracy: 0.8299 Mini-Batch: 7 - Train Loss: 1.489266276359558 - Test Loss: 3.9943583011627197 8/13 [=================>............] - ETA: 38s - loss: 1.4893 - accuracy: 0.8315 Mini-Batch: 8 - Train Loss: 1.4027425050735474 - Test Loss: 3.8398406505584717 9/13 [===================>..........] - ETA: 30s - loss: 1.4027 - accuracy: 0.8289 Mini-Batch: 9 - Train Loss: 1.3451406955718994 - Test Loss: 4.146210670471191 10/13 [======================>.......] - ETA: 22s - loss: 1.3451 - accuracy: 0.8288 Mini-Batch: 10 - Train Loss: 1.4436386823654175 - Test Loss: 4.496341705322266 11/13 [========================>.....] - ETA: 14s - loss: 1.4436 - accuracy: 0.8298 Mini-Batch: 11 - Train Loss: 1.5826071500778198 - Test Loss: 4.073120594024658 12/13 [==========================>...] - ETA: 7s - loss: 1.5826 - accuracy: 0.8304 Mini-Batch: 12 - Train Loss: 2.087249994277954 - Test Loss: 3.9257946014404297 13/13 [==============================] - ETA: 0s - loss: 2.0872 - accuracy: 0.7571 13/13 [==============================] - 96s 7s/step - loss: 3.9258 - accuracy: 0.5450 1/3125 [..............................] - ETA: 12:20 - loss: 0.0428 - accuracy: 0.9688 6/3125 [..............................] - ETA: 35s - loss: 0.0852 - accuracy: 0.9688 11/3125 [..............................] - ETA: 34s - loss: 0.0751 - accuracy: 0.9773 17/3125 [..............................] - ETA: 32s - loss: 0.0570 - accuracy: 0.9798 22/3125 [..............................] - ETA: 32s - loss: 0.0506 - accuracy: 0.9801 27/3125 [..............................] - ETA: 32s - loss: 0.0451 - accuracy: 0.9826 32/3125 [..............................] - ETA: 32s - loss: 0.0505 - accuracy: 0.9795 36/3125 [..............................] - 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32s 10ms/step - loss: 0.0527 - accuracy: 0.9787 1/125 [..............................] - ETA: 4s - loss: 4.7805 - accuracy: 0.4062 7/125 [>.............................] - ETA: 1s - loss: 3.9597 - accuracy: 0.5491 13/125 [==>...........................] - ETA: 1s - loss: 3.9372 - accuracy: 0.5409 19/125 [===>..........................] - ETA: 0s - loss: 4.1094 - accuracy: 0.5362 25/125 [=====>........................] - ETA: 0s - loss: 4.0431 - accuracy: 0.5387 31/125 [======>.......................] - ETA: 0s - loss: 3.8868 - accuracy: 0.5444 37/125 [=======>......................] - ETA: 0s - loss: 3.9693 - accuracy: 0.5372 43/125 [=========>....................] - ETA: 0s - loss: 3.9815 - accuracy: 0.5312 49/125 [==========>...................] - ETA: 0s - loss: 3.9503 - accuracy: 0.5325 55/125 [============>.................] - ETA: 0s - loss: 3.9144 - accuracy: 0.5364 61/125 [=============>................] - ETA: 0s - loss: 3.9612 - accuracy: 0.5369 67/125 [===============>..............] - ETA: 0s - loss: 3.9457 - accuracy: 0.5378 73/125 [================>.............] - ETA: 0s - loss: 3.9245 - accuracy: 0.5424 79/125 [=================>............] - ETA: 0s - loss: 3.9473 - accuracy: 0.5407 85/125 [===================>..........] - ETA: 0s - loss: 3.9807 - accuracy: 0.5379 91/125 [====================>.........] - ETA: 0s - loss: 3.9094 - accuracy: 0.5443 97/125 [======================>.......] - ETA: 0s - loss: 3.9169 - accuracy: 0.5454 102/125 [=======================>......] - ETA: 0s - loss: 3.9493 - accuracy: 0.5441 108/125 [========================>.....] - ETA: 0s - loss: 3.9200 - accuracy: 0.5457 114/125 [==========================>...] - ETA: 0s - loss: 3.9182 - accuracy: 0.5455 120/125 [===========================>..] - ETA: 0s - loss: 3.9220 - accuracy: 0.5445 125/125 [==============================] - 1s 9ms/step - loss: 3.9258 - accuracy: 0.5450 Train accuracy: 0.9787300229072571 Train loss: 0.052700214087963104 Test accuracy: 0.5450000166893005 Test loss: 3.9257946014404297 1/125 [..............................] - ETA: 37s 7/125 [>.............................] - ETA: 1s 14/125 [==>...........................] - ETA: 0s 21/125 [====>.........................] - ETA: 0s 28/125 [=====>........................] - ETA: 0s 35/125 [=======>......................] - ETA: 0s 41/125 [========>.....................] - ETA: 0s 47/125 [==========>...................] - ETA: 0s 53/125 [===========>..................] - ETA: 0s 59/125 [=============>................] - ETA: 0s 64/125 [==============>...............] - ETA: 0s 70/125 [===============>..............] - ETA: 0s 76/125 [=================>............] - ETA: 0s 82/125 [==================>...........] - ETA: 0s 88/125 [====================>.........] - ETA: 0s 94/125 [=====================>........] - ETA: 0s 100/125 [=======================>......] - ETA: 0s 106/125 [========================>.....] - ETA: 0s 111/125 [=========================>....] - ETA: 0s 117/125 [===========================>..] - ETA: 0s 122/125 [============================>.] - ETA: 0s 125/125 [==============================] - 1s 9ms/step Predictions: [1 1 1 ... 1 1 1] 1/125 [..............................] - ETA: 3s 9/125 [=>............................] - ETA: 0s 16/125 [==>...........................] - ETA: 0s 23/125 [====>.........................] - ETA: 0s 30/125 [======>.......................] - ETA: 0s 37/125 [=======>......................] - ETA: 0s 44/125 [=========>....................] - ETA: 0s 51/125 [===========>..................] - ETA: 0s 58/125 [============>.................] - ETA: 0s 65/125 [==============>...............] - ETA: 0s 72/125 [================>.............] - ETA: 0s 79/125 [=================>............] - ETA: 0s 85/125 [===================>..........] - ETA: 0s 91/125 [====================>.........] - ETA: 0s 97/125 [======================>.......] - ETA: 0s 103/125 [=======================>......] - ETA: 0s 109/125 [=========================>....] - ETA: 0s 115/125 [==========================>...] - ETA: 0s 121/125 [============================>.] - ETA: 0s 125/125 [==============================] - 1s 8ms/step precision recall f1-score support 0 0.97 0.09 0.17 2000 1 0.52 1.00 0.69 2000 accuracy 0.55 4000 macro avg 0.75 0.55 0.43 4000 weighted avg 0.75 0.55 0.43 4000