epoch 0: {'accuracy': 0.5306859205776173} , current_best_acc: 0.5306859205776173 train_loss: 2.4373040199279785
epoch 1: {'accuracy': 0.5270758122743683} , current_best_acc: 0.5306859205776173 train_loss: 2.41288423538208
epoch 2: {'accuracy': 0.49097472924187724} , current_best_acc: 0.5306859205776173 train_loss: 2.3808908462524414
epoch 3: {'accuracy': 0.6137184115523465} , current_best_acc: 0.6137184115523465 train_loss: 2.1937150955200195
epoch 4: {'accuracy': 0.6750902527075813} , current_best_acc: 0.6750902527075813 train_loss: 2.0549263954162598
epoch 5: {'accuracy': 0.7472924187725631} , current_best_acc: 0.7472924187725631 train_loss: 2.007721424102783
epoch 6: {'accuracy': 0.7220216606498195} , current_best_acc: 0.7472924187725631 train_loss: 1.9746088981628418
epoch 7: {'accuracy': 0.7509025270758123} , current_best_acc: 0.7509025270758123 train_loss: 1.6484546661376953
epoch 8: {'accuracy': 0.7292418772563177} , current_best_acc: 0.7509025270758123 train_loss: 1.844308853149414
epoch 9: {'accuracy': 0.776173285198556} , current_best_acc: 0.776173285198556 train_loss: 1.483464002609253
epoch 10: {'accuracy': 0.7545126353790613} , current_best_acc: 0.776173285198556 train_loss: 1.5042493343353271
epoch 11: {'accuracy': 0.7653429602888087} , current_best_acc: 0.776173285198556 train_loss: 1.2409007549285889
epoch 12: {'accuracy': 0.776173285198556} , current_best_acc: 0.776173285198556 train_loss: 1.3143030405044556
epoch 13: {'accuracy': 0.779783393501805} , current_best_acc: 0.779783393501805 train_loss: 1.221806526184082
epoch 14: {'accuracy': 0.7689530685920578} , current_best_acc: 0.779783393501805 train_loss: 1.1082309484481812
epoch 15: {'accuracy': 0.740072202166065} , current_best_acc: 0.779783393501805 train_loss: 1.028652310371399
epoch 16: {'accuracy': 0.776173285198556} , current_best_acc: 0.779783393501805 train_loss: 1.1777781248092651
epoch 17: {'accuracy': 0.7653429602888087} , current_best_acc: 0.779783393501805 train_loss: 1.0603209733963013
epoch 18: {'accuracy': 0.7653429602888087} , current_best_acc: 0.779783393501805 train_loss: 0.9166610240936279
epoch 19: {'accuracy': 0.7942238267148014} , current_best_acc: 0.7942238267148014 train_loss: 0.9127169251441956
epoch 20: {'accuracy': 0.7689530685920578} , current_best_acc: 0.7942238267148014 train_loss: 0.8281331658363342
epoch 21: {'accuracy': 0.779783393501805} , current_best_acc: 0.7942238267148014 train_loss: 0.772868275642395
epoch 22: {'accuracy': 0.779783393501805} , current_best_acc: 0.7942238267148014 train_loss: 0.7453454732894897
epoch 23: {'accuracy': 0.8050541516245487} , current_best_acc: 0.8050541516245487 train_loss: 0.8892167210578918
epoch 24: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8050541516245487 train_loss: 0.771973729133606
epoch 25: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8050541516245487 train_loss: 0.8435161113739014
epoch 26: {'accuracy': 0.7545126353790613} , current_best_acc: 0.8050541516245487 train_loss: 0.7602005004882812
epoch 27: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.6659841537475586
epoch 28: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.6077404022216797
epoch 29: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8050541516245487 train_loss: 0.5861151814460754
epoch 30: {'accuracy': 0.7833935018050542} , current_best_acc: 0.8050541516245487 train_loss: 0.6186986565589905
epoch 31: {'accuracy': 0.776173285198556} , current_best_acc: 0.8050541516245487 train_loss: 0.549903154373169
epoch 32: {'accuracy': 0.7689530685920578} , current_best_acc: 0.8050541516245487 train_loss: 0.640392005443573
epoch 33: {'accuracy': 0.776173285198556} , current_best_acc: 0.8050541516245487 train_loss: 0.5127223134040833
epoch 34: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.5257181525230408
epoch 35: {'accuracy': 0.776173285198556} , current_best_acc: 0.8050541516245487 train_loss: 0.4893198013305664
epoch 36: {'accuracy': 0.7581227436823105} , current_best_acc: 0.8050541516245487 train_loss: 0.47778618335723877
epoch 37: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.45794254541397095
epoch 38: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8050541516245487 train_loss: 0.48653843998908997
epoch 39: {'accuracy': 0.776173285198556} , current_best_acc: 0.8050541516245487 train_loss: 0.4443054497241974
epoch 40: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8050541516245487 train_loss: 0.4172426164150238
epoch 41: {'accuracy': 0.7545126353790613} , current_best_acc: 0.8050541516245487 train_loss: 0.4330103397369385
epoch 42: {'accuracy': 0.7689530685920578} , current_best_acc: 0.8050541516245487 train_loss: 0.3963029980659485
epoch 43: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.41629159450531006
epoch 44: {'accuracy': 0.776173285198556} , current_best_acc: 0.8050541516245487 train_loss: 0.37622126936912537
epoch 45: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8050541516245487 train_loss: 0.364173024892807
epoch 46: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.4673970639705658
epoch 47: {'accuracy': 0.779783393501805} , current_best_acc: 0.8050541516245487 train_loss: 0.3463531732559204
epoch 48: {'accuracy': 0.7472924187725631} , current_best_acc: 0.8050541516245487 train_loss: 0.34034794569015503
epoch 49: {'accuracy': 0.779783393501805} , current_best_acc: 0.8050541516245487 train_loss: 0.3501952290534973
epoch 50: {'accuracy': 0.7653429602888087} , current_best_acc: 0.8050541516245487 train_loss: 0.3255583941936493
epoch 51: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8050541516245487 train_loss: 0.3258107006549835
epoch 52: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8050541516245487 train_loss: 0.3077186644077301
epoch 53: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8050541516245487 train_loss: 0.4394235610961914
epoch 54: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8050541516245487 train_loss: 0.2946575880050659
epoch 55: {'accuracy': 0.8014440433212996} , current_best_acc: 0.8050541516245487 train_loss: 0.2908501625061035
epoch 56: {'accuracy': 0.8158844765342961} , current_best_acc: 0.8158844765342961 train_loss: 0.2877811789512634
epoch 57: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.30211734771728516
epoch 58: {'accuracy': 0.7833935018050542} , current_best_acc: 0.8158844765342961 train_loss: 0.27018043398857117
epoch 59: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8158844765342961 train_loss: 0.2759913206100464
epoch 60: {'accuracy': 0.779783393501805} , current_best_acc: 0.8158844765342961 train_loss: 0.26077401638031006
epoch 61: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8158844765342961 train_loss: 0.26049870252609253
epoch 62: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.2928491234779358
epoch 63: {'accuracy': 0.7833935018050542} , current_best_acc: 0.8158844765342961 train_loss: 0.24697519838809967
epoch 64: {'accuracy': 0.8014440433212996} , current_best_acc: 0.8158844765342961 train_loss: 0.2430463582277298
epoch 65: {'accuracy': 0.776173285198556} , current_best_acc: 0.8158844765342961 train_loss: 0.2777417004108429
epoch 66: {'accuracy': 0.7833935018050542} , current_best_acc: 0.8158844765342961 train_loss: 0.3354383111000061
epoch 67: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.23366080224514008
epoch 68: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.2288503646850586
epoch 69: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.23608636856079102
epoch 70: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.22740939259529114
epoch 71: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8158844765342961 train_loss: 0.21953915059566498
epoch 72: {'accuracy': 0.776173285198556} , current_best_acc: 0.8158844765342961 train_loss: 0.2174101322889328
epoch 73: {'accuracy': 0.779783393501805} , current_best_acc: 0.8158844765342961 train_loss: 0.24316971004009247
epoch 74: {'accuracy': 0.7725631768953068} , current_best_acc: 0.8158844765342961 train_loss: 0.23225979506969452
epoch 75: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.2099854201078415
epoch 76: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.20818661153316498
epoch 77: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.20785179734230042
epoch 78: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.20377995073795319
epoch 79: {'accuracy': 0.8086642599277978} , current_best_acc: 0.8158844765342961 train_loss: 0.20273476839065552
epoch 80: {'accuracy': 0.8050541516245487} , current_best_acc: 0.8158844765342961 train_loss: 0.19958479702472687
epoch 81: {'accuracy': 0.8050541516245487} , current_best_acc: 0.8158844765342961 train_loss: 0.1983940750360489
epoch 82: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.1961665153503418
epoch 83: {'accuracy': 0.8086642599277978} , current_best_acc: 0.8158844765342961 train_loss: 0.20165105164051056
epoch 84: {'accuracy': 0.7870036101083032} , current_best_acc: 0.8158844765342961 train_loss: 0.19344154000282288
epoch 85: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.19276733696460724
epoch 86: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.1902739554643631
epoch 87: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.2048441469669342
epoch 88: {'accuracy': 0.8014440433212996} , current_best_acc: 0.8158844765342961 train_loss: 0.1903747171163559
epoch 89: {'accuracy': 0.8122743682310469} , current_best_acc: 0.8158844765342961 train_loss: 0.18699102103710175
epoch 90: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.18727827072143555
epoch 91: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.18557482957839966
epoch 92: {'accuracy': 0.7942238267148014} , current_best_acc: 0.8158844765342961 train_loss: 0.1846836656332016
epoch 93: {'accuracy': 0.8050541516245487} , current_best_acc: 0.8158844765342961 train_loss: 0.18411347270011902
epoch 94: {'accuracy': 0.8014440433212996} , current_best_acc: 0.8158844765342961 train_loss: 0.19637490808963776
epoch 95: {'accuracy': 0.7906137184115524} , current_best_acc: 0.8158844765342961 train_loss: 0.18865180015563965
epoch 96: {'accuracy': 0.8014440433212996} , current_best_acc: 0.8158844765342961 train_loss: 0.19001132249832153
epoch 97: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.18314741551876068
epoch 98: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.18375521898269653
epoch 99: {'accuracy': 0.7978339350180506} , current_best_acc: 0.8158844765342961 train_loss: 0.18242211639881134
