epoch 0: {'accuracy': 0.9243119266055045} , current_best_acc: 0.9243119266055045 train_loss: 0.39950332045555115
epoch 1: {'accuracy': 0.926605504587156} , current_best_acc: 0.926605504587156 train_loss: 0.25522246956825256
epoch 2: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9369266055045872 train_loss: 0.24513329565525055
epoch 3: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9369266055045872 train_loss: 0.2835252583026886
epoch 4: {'accuracy': 0.9311926605504587} , current_best_acc: 0.9369266055045872 train_loss: 0.3723536431789398
epoch 5: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9369266055045872 train_loss: 0.3531140387058258
epoch 6: {'accuracy': 0.9243119266055045} , current_best_acc: 0.9369266055045872 train_loss: 0.2642512917518616
epoch 7: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9392201834862385 train_loss: 0.4993026554584503
epoch 8: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9415137614678899 train_loss: 0.37444424629211426
epoch 9: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9415137614678899 train_loss: 0.11541935056447983
epoch 10: {'accuracy': 0.9334862385321101} , current_best_acc: 0.9415137614678899 train_loss: 0.17283864319324493
epoch 11: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9426605504587156 train_loss: 0.17416468262672424
epoch 12: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9426605504587156 train_loss: 0.3103101849555969
epoch 13: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9426605504587156 train_loss: 0.1663198471069336
epoch 14: {'accuracy': 0.944954128440367} , current_best_acc: 0.944954128440367 train_loss: 0.0971960723400116
epoch 15: {'accuracy': 0.9415137614678899} , current_best_acc: 0.944954128440367 train_loss: 0.12333725392818451
epoch 16: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9461009174311926 train_loss: 0.2885259687900543
epoch 17: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9461009174311926 train_loss: 0.20614328980445862
epoch 18: {'accuracy': 0.9495412844036697} , current_best_acc: 0.9495412844036697 train_loss: 0.18613527715206146
epoch 19: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9495412844036697 train_loss: 0.1007155179977417
epoch 20: {'accuracy': 0.9518348623853211} , current_best_acc: 0.9518348623853211 train_loss: 0.07053577899932861
epoch 21: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.25359588861465454
epoch 22: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.06703998893499374
epoch 0: {'accuracy': 0.9243119266055045} , current_best_acc: 0.9243119266055045 train_loss: 0.39950332045555115
epoch 1: {'accuracy': 0.926605504587156} , current_best_acc: 0.926605504587156 train_loss: 0.25522246956825256
epoch 2: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9369266055045872 train_loss: 0.24513329565525055
epoch 3: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9369266055045872 train_loss: 0.2835252583026886
epoch 4: {'accuracy': 0.9311926605504587} , current_best_acc: 0.9369266055045872 train_loss: 0.3723536431789398
epoch 5: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9369266055045872 train_loss: 0.3531140387058258
epoch 6: {'accuracy': 0.9243119266055045} , current_best_acc: 0.9369266055045872 train_loss: 0.2642512917518616
epoch 7: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9392201834862385 train_loss: 0.4993026554584503
epoch 8: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9415137614678899 train_loss: 0.37444424629211426
epoch 9: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9415137614678899 train_loss: 0.11541935056447983
epoch 10: {'accuracy': 0.9334862385321101} , current_best_acc: 0.9415137614678899 train_loss: 0.17283864319324493
epoch 11: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9426605504587156 train_loss: 0.17416468262672424
epoch 12: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9426605504587156 train_loss: 0.3103101849555969
epoch 13: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9426605504587156 train_loss: 0.1663198471069336
epoch 14: {'accuracy': 0.944954128440367} , current_best_acc: 0.944954128440367 train_loss: 0.0971960723400116
epoch 15: {'accuracy': 0.9415137614678899} , current_best_acc: 0.944954128440367 train_loss: 0.12333725392818451
epoch 16: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9461009174311926 train_loss: 0.2885259687900543
epoch 17: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9461009174311926 train_loss: 0.20614328980445862
epoch 18: {'accuracy': 0.9495412844036697} , current_best_acc: 0.9495412844036697 train_loss: 0.18613527715206146
epoch 19: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9495412844036697 train_loss: 0.1007155179977417
epoch 20: {'accuracy': 0.9518348623853211} , current_best_acc: 0.9518348623853211 train_loss: 0.07053577899932861
epoch 21: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.25359588861465454
epoch 22: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.06703998893499374
epoch 23: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.163347989320755
epoch 24: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.07077254354953766
epoch 25: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.06731528043746948
epoch 26: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.08949407935142517
epoch 27: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.15889088809490204
epoch 28: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9518348623853211 train_loss: 0.087236687541008
epoch 29: {'accuracy': 0.9346330275229358} , current_best_acc: 0.9518348623853211 train_loss: 0.139842227101326
epoch 30: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.07917104661464691
epoch 31: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.28918203711509705
epoch 32: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.07694599032402039
epoch 33: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.0960022434592247
epoch 34: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.0687197595834732
epoch 35: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.10159815847873688
epoch 36: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.0755605548620224
epoch 37: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.06294816732406616
epoch 38: {'accuracy': 0.948394495412844} , current_best_acc: 0.9518348623853211 train_loss: 0.059651654213666916
epoch 39: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.0607842281460762
epoch 40: {'accuracy': 0.9495412844036697} , current_best_acc: 0.9518348623853211 train_loss: 0.05940805375576019
epoch 41: {'accuracy': 0.9346330275229358} , current_best_acc: 0.9518348623853211 train_loss: 0.42289796471595764
epoch 42: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.06405426561832428
epoch 43: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.06695272028446198
epoch 44: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.15559974312782288
epoch 45: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.06117261201143265
epoch 46: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.061609670519828796
epoch 47: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.06352824717760086
epoch 48: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.08137249946594238
epoch 49: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.059212036430835724
epoch 50: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.060888174921274185
epoch 51: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9518348623853211 train_loss: 0.06197823956608772
epoch 52: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.060987699776887894
epoch 53: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.06124577298760414
epoch 54: {'accuracy': 0.9380733944954128} , current_best_acc: 0.9518348623853211 train_loss: 0.06452600657939911
epoch 55: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.060856856405735016
epoch 56: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.06129666417837143
epoch 57: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.07961233705282211
epoch 58: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.07051664590835571
epoch 59: {'accuracy': 0.9380733944954128} , current_best_acc: 0.9518348623853211 train_loss: 0.06579693406820297
epoch 60: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.05969500541687012
epoch 61: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.07013791054487228
epoch 62: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.06459522247314453
epoch 63: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.06110367551445961
epoch 64: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.08724886178970337
epoch 65: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.08084072172641754
epoch 66: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.12774404883384705
epoch 67: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.06966421753168106
epoch 68: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.1593468189239502
epoch 69: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.06629613786935806
epoch 70: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.06094294413924217
epoch 71: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.07946213334798813
epoch 72: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.059121668338775635
epoch 73: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.1047421544790268
epoch 74: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9518348623853211 train_loss: 0.06303256750106812
epoch 75: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.06353366374969482
epoch 76: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.06856710463762283
epoch 77: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.059057313948869705
epoch 78: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.06592240184545517
epoch 79: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.05930296704173088
epoch 80: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.06796803325414658
epoch 81: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9518348623853211 train_loss: 0.06146357208490372
epoch 82: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.06317055225372314
epoch 83: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.059332966804504395
epoch 84: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.059461187571287155
epoch 85: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9518348623853211 train_loss: 0.0945076122879982
epoch 86: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9518348623853211 train_loss: 0.05900328606367111
epoch 87: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.07218648493289948
epoch 88: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.05931968241930008
epoch 89: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.06188134104013443
epoch 90: {'accuracy': 0.944954128440367} , current_best_acc: 0.9518348623853211 train_loss: 0.0649697333574295
epoch 91: {'accuracy': 0.9472477064220184} , current_best_acc: 0.9518348623853211 train_loss: 0.060023244470357895
epoch 92: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.05934491008520126
epoch 93: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9518348623853211 train_loss: 0.061737969517707825
epoch 94: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.17282360792160034
epoch 95: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.10696318745613098
epoch 96: {'accuracy': 0.9461009174311926} , current_best_acc: 0.9518348623853211 train_loss: 0.23178213834762573
epoch 97: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.05916977301239967
epoch 98: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.06305419653654099
epoch 99: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9518348623853211 train_loss: 0.059562645852565765
