epoch 0: {'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079} , current_best_acc: 0.6838235294117647 train_loss: 1.305458903312683
epoch 1: {'accuracy': 0.7426470588235294, 'f1': 0.8330683624801272} , current_best_acc: 0.7426470588235294 train_loss: 1.171478033065796
epoch 2: {'accuracy': 0.8137254901960784, 'f1': 0.8560606060606061} , current_best_acc: 0.8137254901960784 train_loss: 1.148945689201355
epoch 3: {'accuracy': 0.8235294117647058, 'f1': 0.8700361010830325} , current_best_acc: 0.8235294117647058 train_loss: 1.1187738180160522
epoch 4: {'accuracy': 0.8578431372549019, 'f1': 0.897887323943662} , current_best_acc: 0.8578431372549019 train_loss: 1.1042693853378296
epoch 5: {'accuracy': 0.8553921568627451, 'f1': 0.8963093145869947} , current_best_acc: 0.8578431372549019 train_loss: 1.05510413646698
epoch 6: {'accuracy': 0.8553921568627451, 'f1': 0.8991452991452992} , current_best_acc: 0.8578431372549019 train_loss: 1.0263087749481201
epoch 7: {'accuracy': 0.8504901960784313, 'f1': 0.8988391376451078} , current_best_acc: 0.8578431372549019 train_loss: 0.8786404132843018
epoch 8: {'accuracy': 0.8725490196078431, 'f1': 0.9106529209621993} , current_best_acc: 0.8725490196078431 train_loss: 0.7635827660560608
epoch 9: {'accuracy': 0.8799019607843137, 'f1': 0.9141856392294221} , current_best_acc: 0.8799019607843137 train_loss: 0.824500322341919
epoch 10: {'accuracy': 0.8676470588235294, 'f1': 0.9072164948453608} , current_best_acc: 0.8799019607843137 train_loss: 0.7453629970550537
epoch 11: {'accuracy': 0.8848039215686274, 'f1': 0.9168141592920354} , current_best_acc: 0.8848039215686274 train_loss: 0.8811273574829102
epoch 12: {'accuracy': 0.8602941176470589, 'f1': 0.8938547486033519} , current_best_acc: 0.8848039215686274 train_loss: 0.4768153727054596
epoch 13: {'accuracy': 0.8848039215686274, 'f1': 0.9179755671902269} , current_best_acc: 0.8848039215686274 train_loss: 0.5743876695632935
epoch 14: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.8848039215686274 train_loss: 0.5269671082496643
epoch 15: {'accuracy': 0.875, 'f1': 0.9097345132743363} , current_best_acc: 0.8848039215686274 train_loss: 0.4865623712539673
epoch 16: {'accuracy': 0.8799019607843137, 'f1': 0.9113924050632911} , current_best_acc: 0.8848039215686274 train_loss: 0.436501681804657
epoch 17: {'accuracy': 0.8627450980392157, 'f1': 0.9041095890410958} , current_best_acc: 0.8848039215686274 train_loss: 0.42354118824005127
epoch 18: {'accuracy': 0.8774509803921569, 'f1': 0.9122807017543859} , current_best_acc: 0.8848039215686274 train_loss: 0.38144320249557495
epoch 19: {'accuracy': 0.8676470588235294, 'f1': 0.9081632653061225} , current_best_acc: 0.8848039215686274 train_loss: 0.3986853063106537
epoch 20: {'accuracy': 0.8651960784313726, 'f1': 0.8994515539305301} , current_best_acc: 0.8848039215686274 train_loss: 0.5527541637420654
epoch 21: {'accuracy': 0.8848039215686274, 'f1': 0.9168141592920354} , current_best_acc: 0.8848039215686274 train_loss: 0.3422583043575287
epoch 22: {'accuracy': 0.8921568627450981, 'f1': 0.9222614840989399} , current_best_acc: 0.8921568627450981 train_loss: 0.302842915058136
epoch 23: {'accuracy': 0.8799019607843137, 'f1': 0.9162393162393162} , current_best_acc: 0.8921568627450981 train_loss: 0.3118056654930115
epoch 24: {'accuracy': 0.8872549019607843, 'f1': 0.9184397163120568} , current_best_acc: 0.8921568627450981 train_loss: 0.2865575850009918
epoch 25: {'accuracy': 0.8872549019607843, 'f1': 0.9204152249134948} , current_best_acc: 0.8921568627450981 train_loss: 0.2770238220691681
epoch 26: {'accuracy': 0.8897058823529411, 'f1': 0.9217391304347826} , current_best_acc: 0.8921568627450981 train_loss: 0.3030432164669037
epoch 27: {'accuracy': 0.8872549019607843, 'f1': 0.9206896551724137} , current_best_acc: 0.8921568627450981 train_loss: 0.25559869408607483
epoch 28: {'accuracy': 0.8872549019607843, 'f1': 0.9190140845070423} , current_best_acc: 0.8921568627450981 train_loss: 0.24714180827140808
epoch 29: {'accuracy': 0.8897058823529411, 'f1': 0.9197860962566845} , current_best_acc: 0.8921568627450981 train_loss: 0.24077679216861725
epoch 30: {'accuracy': 0.8848039215686274, 'f1': 0.919104991394148} , current_best_acc: 0.8921568627450981 train_loss: 0.24269799888134003
epoch 31: {'accuracy': 0.9068627450980392, 'f1': 0.9330985915492958} , current_best_acc: 0.9068627450980392 train_loss: 0.2537684738636017
epoch 32: {'accuracy': 0.8823529411764706, 'f1': 0.9157894736842105} , current_best_acc: 0.9068627450980392 train_loss: 0.2178158313035965
epoch 33: {'accuracy': 0.8872549019607843, 'f1': 0.9187279151943463} , current_best_acc: 0.9068627450980392 train_loss: 0.21107608079910278
epoch 34: {'accuracy': 0.8725490196078431, 'f1': 0.9064748201438849} , current_best_acc: 0.9068627450980392 train_loss: 0.20833534002304077
epoch 35: {'accuracy': 0.8823529411764706, 'f1': 0.9154929577464789} , current_best_acc: 0.9068627450980392 train_loss: 0.222616508603096
epoch 36: {'accuracy': 0.8799019607843137, 'f1': 0.9129662522202486} , current_best_acc: 0.9068627450980392 train_loss: 0.19797371327877045
epoch 37: {'accuracy': 0.8970588235294118, 'f1': 0.9265734265734266} , current_best_acc: 0.9068627450980392 train_loss: 0.28888675570487976
epoch 38: {'accuracy': 0.8897058823529411, 'f1': 0.9203539823008849} , current_best_acc: 0.9068627450980392 train_loss: 0.18918359279632568
epoch 39: {'accuracy': 0.8848039215686274, 'f1': 0.9176882661996497} , current_best_acc: 0.9068627450980392 train_loss: 0.20035026967525482
epoch 40: {'accuracy': 0.8700980392156863, 'f1': 0.9065255731922398} , current_best_acc: 0.9068627450980392 train_loss: 0.18358933925628662
epoch 41: {'accuracy': 0.8799019607843137, 'f1': 0.9156626506024096} , current_best_acc: 0.9068627450980392 train_loss: 0.17916661500930786
epoch 42: {'accuracy': 0.8774509803921569, 'f1': 0.9140893470790378} , current_best_acc: 0.9068627450980392 train_loss: 0.24199360609054565
epoch 43: {'accuracy': 0.8848039215686274, 'f1': 0.9156193895870736} , current_best_acc: 0.9068627450980392 train_loss: 0.21409688889980316
epoch 44: {'accuracy': 0.8897058823529411, 'f1': 0.9225473321858864} , current_best_acc: 0.9068627450980392 train_loss: 0.16767974197864532
epoch 45: {'accuracy': 0.8897058823529411, 'f1': 0.9214659685863874} , current_best_acc: 0.9068627450980392 train_loss: 0.17493043839931488
epoch 46: {'accuracy': 0.8848039215686274, 'f1': 0.9168141592920354} , current_best_acc: 0.9068627450980392 train_loss: 0.16624777019023895
epoch 47: {'accuracy': 0.8897058823529411, 'f1': 0.9197860962566845} , current_best_acc: 0.9068627450980392 train_loss: 0.1587153524160385
epoch 48: {'accuracy': 0.8848039215686274, 'f1': 0.9171075837742504} , current_best_acc: 0.9068627450980392 train_loss: 0.16001275181770325
epoch 49: {'accuracy': 0.8774509803921569, 'f1': 0.9131944444444444} , current_best_acc: 0.9068627450980392 train_loss: 0.15487071871757507
epoch 50: {'accuracy': 0.8897058823529411, 'f1': 0.9206349206349206} , current_best_acc: 0.9068627450980392 train_loss: 0.15153373777866364
epoch 51: {'accuracy': 0.8676470588235294, 'f1': 0.9078498293515358} , current_best_acc: 0.9068627450980392 train_loss: 0.14919595420360565
epoch 52: {'accuracy': 0.8872549019607843, 'f1': 0.9187279151943463} , current_best_acc: 0.9068627450980392 train_loss: 0.17385233938694
epoch 53: {'accuracy': 0.8823529411764706, 'f1': 0.9145907473309609} , current_best_acc: 0.9068627450980392 train_loss: 0.1492614895105362
epoch 54: {'accuracy': 0.8872549019607843, 'f1': 0.9184397163120568} , current_best_acc: 0.9068627450980392 train_loss: 0.14327095448970795
epoch 55: {'accuracy': 0.8799019607843137, 'f1': 0.9144851657940664} , current_best_acc: 0.9068627450980392 train_loss: 0.14062991738319397
epoch 56: {'accuracy': 0.8823529411764706, 'f1': 0.916083916083916} , current_best_acc: 0.9068627450980392 train_loss: 0.1406320482492447
epoch 57: {'accuracy': 0.8872549019607843, 'f1': 0.9195804195804196} , current_best_acc: 0.9068627450980392 train_loss: 0.13688631355762482
epoch 58: {'accuracy': 0.8799019607843137, 'f1': 0.9147826086956522} , current_best_acc: 0.9068627450980392 train_loss: 0.14812228083610535
epoch 59: {'accuracy': 0.875, 'f1': 0.9134125636672326} , current_best_acc: 0.9068627450980392 train_loss: 0.1333674043416977
epoch 60: {'accuracy': 0.8799019607843137, 'f1': 0.9147826086956522} , current_best_acc: 0.9068627450980392 train_loss: 0.1321931779384613
epoch 61: {'accuracy': 0.8970588235294118, 'f1': 0.9265734265734266} , current_best_acc: 0.9068627450980392 train_loss: 0.13137605786323547
epoch 62: {'accuracy': 0.8921568627450981, 'f1': 0.9238754325259516} , current_best_acc: 0.9068627450980392 train_loss: 0.14449799060821533
epoch 63: {'accuracy': 0.8774509803921569, 'f1': 0.9113475177304965} , current_best_acc: 0.9068627450980392 train_loss: 0.13340817391872406
epoch 64: {'accuracy': 0.8823529411764706, 'f1': 0.9166666666666666} , current_best_acc: 0.9068627450980392 train_loss: 0.1265762448310852
epoch 65: {'accuracy': 0.8872549019607843, 'f1': 0.9175627240143369} , current_best_acc: 0.9068627450980392 train_loss: 0.1270075887441635
epoch 66: {'accuracy': 0.8872549019607843, 'f1': 0.9198606271777003} , current_best_acc: 0.9068627450980392 train_loss: 0.12400432676076889
epoch 67: {'accuracy': 0.8823529411764706, 'f1': 0.916955017301038} , current_best_acc: 0.9068627450980392 train_loss: 0.12312494963407516
epoch 68: {'accuracy': 0.8848039215686274, 'f1': 0.9176882661996497} , current_best_acc: 0.9068627450980392 train_loss: 0.12195833772420883
epoch 69: {'accuracy': 0.8897058823529411, 'f1': 0.9214659685863874} , current_best_acc: 0.9068627450980392 train_loss: 0.12135328352451324
epoch 70: {'accuracy': 0.8799019607843137, 'f1': 0.9129662522202486} , current_best_acc: 0.9068627450980392 train_loss: 0.1393071562051773
epoch 71: {'accuracy': 0.8799019607843137, 'f1': 0.9135802469135802} , current_best_acc: 0.9068627450980392 train_loss: 0.12183008342981339
epoch 72: {'accuracy': 0.8700980392156863, 'f1': 0.9071803852889667} , current_best_acc: 0.9068627450980392 train_loss: 0.11856481432914734
epoch 73: {'accuracy': 0.8872549019607843, 'f1': 0.9195804195804196} , current_best_acc: 0.9068627450980392 train_loss: 0.11749447882175446
epoch 74: {'accuracy': 0.875, 'f1': 0.9106830122591943} , current_best_acc: 0.9068627450980392 train_loss: 0.11664362996816635
epoch 75: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9068627450980392 train_loss: 0.13556402921676636
epoch 76: {'accuracy': 0.8872549019607843, 'f1': 0.9204152249134948} , current_best_acc: 0.9068627450980392 train_loss: 0.11485137045383453
epoch 77: {'accuracy': 0.8848039215686274, 'f1': 0.9179755671902269} , current_best_acc: 0.9068627450980392 train_loss: 0.1244792640209198
epoch 78: {'accuracy': 0.8799019607843137, 'f1': 0.9141856392294221} , current_best_acc: 0.9068627450980392 train_loss: 0.1136779710650444
epoch 79: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9068627450980392 train_loss: 0.11333703249692917
epoch 80: {'accuracy': 0.8774509803921569, 'f1': 0.9110320284697508} , current_best_acc: 0.9068627450980392 train_loss: 0.1122596263885498
epoch 81: {'accuracy': 0.8602941176470589, 'f1': 0.8980322003577818} , current_best_acc: 0.9068627450980392 train_loss: 0.11176761239767075
epoch 82: {'accuracy': 0.8799019607843137, 'f1': 0.9141856392294221} , current_best_acc: 0.9068627450980392 train_loss: 0.11828616261482239
epoch 83: {'accuracy': 0.8799019607843137, 'f1': 0.9144851657940664} , current_best_acc: 0.9068627450980392 train_loss: 0.11068481206893921
epoch 84: {'accuracy': 0.8799019607843137, 'f1': 0.9144851657940664} , current_best_acc: 0.9068627450980392 train_loss: 0.11023254692554474
epoch 85: {'accuracy': 0.8823529411764706, 'f1': 0.916955017301038} , current_best_acc: 0.9068627450980392 train_loss: 0.11012282967567444
epoch 86: {'accuracy': 0.8774509803921569, 'f1': 0.9122807017543859} , current_best_acc: 0.9068627450980392 train_loss: 0.10959170013666153
epoch 87: {'accuracy': 0.8799019607843137, 'f1': 0.9138840070298769} , current_best_acc: 0.9068627450980392 train_loss: 0.10907451808452606
epoch 88: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9068627450980392 train_loss: 0.1267993003129959
epoch 89: {'accuracy': 0.8725490196078431, 'f1': 0.9094076655052264} , current_best_acc: 0.9068627450980392 train_loss: 0.10893666744232178
epoch 90: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9068627450980392 train_loss: 0.10807815194129944
epoch 91: {'accuracy': 0.8774509803921569, 'f1': 0.9125874125874126} , current_best_acc: 0.9068627450980392 train_loss: 0.1079830601811409
epoch 92: {'accuracy': 0.875, 'f1': 0.9128205128205128} , current_best_acc: 0.9068627450980392 train_loss: 0.31086668372154236
epoch 93: {'accuracy': 0.8799019607843137, 'f1': 0.9150779896013865} , current_best_acc: 0.9068627450980392 train_loss: 0.30020326375961304
epoch 94: {'accuracy': 0.8774509803921569, 'f1': 0.9131944444444444} , current_best_acc: 0.9068627450980392 train_loss: 0.16128896176815033
epoch 95: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.9068627450980392 train_loss: 0.10738730430603027
epoch 96: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9068627450980392 train_loss: 0.10702534019947052
epoch 97: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.9068627450980392 train_loss: 0.11590952426195145
epoch 98: {'accuracy': 0.8799019607843137, 'f1': 0.9147826086956522} , current_best_acc: 0.9068627450980392 train_loss: 0.12033774703741074
epoch 99: {'accuracy': 0.8799019607843137, 'f1': 0.9147826086956522} , current_best_acc: 0.9068627450980392 train_loss: 0.10711096972227097
