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re-ran the tests

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ION606
2025-04-21 22:34:51 -04:00
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commit ebc64d766f
95 changed files with 2446 additions and 74 deletions
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Project/analysis/history_adam_aggressive_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.974456560897827,0.26922,1.7304970249176026,0.3786
2,1.8454077367782593,0.31724,1.6601378639221192,0.385
3,1.8263939748764038,0.32684,1.6606147064208985,0.3904
4,1.8094575137710571,0.33182,1.665997783279419,0.3756
5,1.7877959413909912,0.3392,1.58222125415802,0.4152
6,1.787890262145996,0.34048,1.7176293952941895,0.3643
7,1.7759525202178954,0.34648,1.6122663572311402,0.4023
8,1.7836139296722413,0.3439,1.7781054580688476,0.341
9,1.7774498300933839,0.34556,1.5754944620132447,0.4182
10,1.7656044020462036,0.34748,1.5426378156661986,0.4295
11,1.7746756098556518,0.34388,1.5636182432174683,0.4233
12,1.7580935064315797,0.354,1.5672656684875488,0.4113
13,1.7512612063217163,0.35642,1.6501448486328125,0.3891
14,1.7724904922485352,0.3475,1.5432163452148437,0.4352
15,1.7634696194076538,0.35212,1.5920137149810791,0.4202
16,1.7557356859970092,0.35386,1.5618241235733032,0.4283
17,1.7429854767227173,0.3581,1.5591908136367798,0.4274
18,1.7365073428726197,0.3617,1.5122350412368775,0.4454
19,1.7340069851303102,0.3602,1.501157410812378,0.451
20,1.7409456158065797,0.35886,1.531626453781128,0.4443
1 epoch train_loss train_acc test_loss test_acc
2 1 1.974456560897827 0.26922 1.7304970249176026 0.3786
3 2 1.8454077367782593 0.31724 1.6601378639221192 0.385
4 3 1.8263939748764038 0.32684 1.6606147064208985 0.3904
5 4 1.8094575137710571 0.33182 1.665997783279419 0.3756
6 5 1.7877959413909912 0.3392 1.58222125415802 0.4152
7 6 1.787890262145996 0.34048 1.7176293952941895 0.3643
8 7 1.7759525202178954 0.34648 1.6122663572311402 0.4023
9 8 1.7836139296722413 0.3439 1.7781054580688476 0.341
10 9 1.7774498300933839 0.34556 1.5754944620132447 0.4182
11 10 1.7656044020462036 0.34748 1.5426378156661986 0.4295
12 11 1.7746756098556518 0.34388 1.5636182432174683 0.4233
13 12 1.7580935064315797 0.354 1.5672656684875488 0.4113
14 13 1.7512612063217163 0.35642 1.6501448486328125 0.3891
15 14 1.7724904922485352 0.3475 1.5432163452148437 0.4352
16 15 1.7634696194076538 0.35212 1.5920137149810791 0.4202
17 16 1.7557356859970092 0.35386 1.5618241235733032 0.4283
18 17 1.7429854767227173 0.3581 1.5591908136367798 0.4274
19 18 1.7365073428726197 0.3617 1.5122350412368775 0.4454
20 19 1.7340069851303102 0.3602 1.501157410812378 0.451
21 20 1.7409456158065797 0.35886 1.531626453781128 0.4443
Project/analysis/history_adam_aggressive_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.1344652434539797,0.20488,2.022770263671875,0.2597
2,2.0186911404418946,0.24922,1.8970225284576416,0.2983
3,2.010243484954834,0.25274,1.9072177560806274,0.29
4,1.9952284572601318,0.26088,1.8907000495910644,0.3027
5,1.9962889101791381,0.26108,1.8968271499633789,0.3007
6,1.9906421136856078,0.25978,1.8710549690246583,0.2991
7,1.9789404233551025,0.26648,1.8729571523666382,0.3107
8,1.97843787651062,0.26624,1.8582117340087891,0.3136
9,1.9777873904037475,0.26486,1.862920560836792,0.3152
10,1.9690655079650878,0.26784,1.8784164529800416,0.3076
11,1.9658676456069946,0.27026,1.8229821308135987,0.3258
12,1.9590900508117677,0.26692,1.8474713500976563,0.3287
13,1.9669304356384278,0.26908,1.8680181037902832,0.3111
14,1.958348878631592,0.27156,1.8127110235214234,0.3475
15,1.9552243856430054,0.27324,1.8901950101852416,0.2852
16,1.956668193511963,0.27416,1.8504865715026855,0.3122
17,1.948801014099121,0.27538,1.7920600860595703,0.3394
18,1.9498589097595216,0.27362,1.8019978916168213,0.3464
19,1.9449512919616698,0.27842,1.8016673805236816,0.3433
20,1.9463943926620484,0.27408,1.8101041078567506,0.3376
1 epoch train_loss train_acc test_loss test_acc
2 1 2.1344652434539797 0.20488 2.022770263671875 0.2597
3 2 2.0186911404418946 0.24922 1.8970225284576416 0.2983
4 3 2.010243484954834 0.25274 1.9072177560806274 0.29
5 4 1.9952284572601318 0.26088 1.8907000495910644 0.3027
6 5 1.9962889101791381 0.26108 1.8968271499633789 0.3007
7 6 1.9906421136856078 0.25978 1.8710549690246583 0.2991
8 7 1.9789404233551025 0.26648 1.8729571523666382 0.3107
9 8 1.97843787651062 0.26624 1.8582117340087891 0.3136
10 9 1.9777873904037475 0.26486 1.862920560836792 0.3152
11 10 1.9690655079650878 0.26784 1.8784164529800416 0.3076
12 11 1.9658676456069946 0.27026 1.8229821308135987 0.3258
13 12 1.9590900508117677 0.26692 1.8474713500976563 0.3287
14 13 1.9669304356384278 0.26908 1.8680181037902832 0.3111
15 14 1.958348878631592 0.27156 1.8127110235214234 0.3475
16 15 1.9552243856430054 0.27324 1.8901950101852416 0.2852
17 16 1.956668193511963 0.27416 1.8504865715026855 0.3122
18 17 1.948801014099121 0.27538 1.7920600860595703 0.3394
19 18 1.9498589097595216 0.27362 1.8019978916168213 0.3464
20 19 1.9449512919616698 0.27842 1.8016673805236816 0.3433
21 20 1.9463943926620484 0.27408 1.8101041078567506 0.3376
Project/analysis/history_adam_none_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.847881386680603,0.32942,1.5511522064208985,0.4312
2,1.6177299839401245,0.41082,1.4712652378082276,0.4657
3,1.5569700075531006,0.43428,1.394599464225769,0.4915
4,1.5289771292495729,0.4452,1.365533829307556,0.5026
5,1.5117075008392333,0.45238,1.3679044742584228,0.5022
6,1.4944573168182373,0.45804,1.3945600986480713,0.4908
7,1.4954497344589233,0.46082,1.3769316219329835,0.5027
8,1.4939354167556762,0.4581,1.4132782371520995,0.5003
9,1.4871603671264648,0.46338,1.3577482885360719,0.4995
10,1.4732131560516357,0.46792,1.4151488857269288,0.4874
11,1.4649469945526123,0.468,1.3565514822006226,0.514
12,1.4616536054229736,0.47348,1.3092844657897948,0.5245
13,1.4838773123168945,0.46748,1.3107160717010498,0.5241
14,1.470268120613098,0.47032,1.3532153959274291,0.514
15,1.4701028344345093,0.47292,1.3349319314956665,0.5207
16,1.4733314770889283,0.46694,1.30636460647583,0.5253
17,1.4659587969207764,0.47168,1.3394561473846436,0.5188
18,1.465981600227356,0.4697,1.3647231616973876,0.5147
19,1.4668639030456543,0.46984,1.3287893884658812,0.5175
20,1.4546778205108644,0.47452,1.3466038597106933,0.5132
1 epoch train_loss train_acc test_loss test_acc
2 1 1.847881386680603 0.32942 1.5511522064208985 0.4312
3 2 1.6177299839401245 0.41082 1.4712652378082276 0.4657
4 3 1.5569700075531006 0.43428 1.394599464225769 0.4915
5 4 1.5289771292495729 0.4452 1.365533829307556 0.5026
6 5 1.5117075008392333 0.45238 1.3679044742584228 0.5022
7 6 1.4944573168182373 0.45804 1.3945600986480713 0.4908
8 7 1.4954497344589233 0.46082 1.3769316219329835 0.5027
9 8 1.4939354167556762 0.4581 1.4132782371520995 0.5003
10 9 1.4871603671264648 0.46338 1.3577482885360719 0.4995
11 10 1.4732131560516357 0.46792 1.4151488857269288 0.4874
12 11 1.4649469945526123 0.468 1.3565514822006226 0.514
13 12 1.4616536054229736 0.47348 1.3092844657897948 0.5245
14 13 1.4838773123168945 0.46748 1.3107160717010498 0.5241
15 14 1.470268120613098 0.47032 1.3532153959274291 0.514
16 15 1.4701028344345093 0.47292 1.3349319314956665 0.5207
17 16 1.4733314770889283 0.46694 1.30636460647583 0.5253
18 17 1.4659587969207764 0.47168 1.3394561473846436 0.5188
19 18 1.465981600227356 0.4697 1.3647231616973876 0.5147
20 19 1.4668639030456543 0.46984 1.3287893884658812 0.5175
21 20 1.4546778205108644 0.47452 1.3466038597106933 0.5132
Project/analysis/history_adam_none_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.9015797283554077,0.3039,1.6871370712280274,0.3947
2,1.6032403519821168,0.4152,1.4519082370758056,0.4649
3,1.5410432431793213,0.44184,1.371306716156006,0.4915
4,1.5103425858688355,0.45614,1.4346882278442383,0.4913
5,1.5013815983963013,0.456,1.3663070734024048,0.4951
6,1.5020151425552368,0.45416,1.36682343044281,0.5039
7,1.49663742893219,0.45978,1.323156630897522,0.5232
8,1.477861526107788,0.46658,1.3874903659820557,0.5081
9,1.472189111251831,0.46874,1.3448004537582396,0.5121
10,1.4770725217819214,0.46474,1.341456114578247,0.5166
11,1.4564127297210694,0.47708,1.2886124462127686,0.5293
12,1.5129934811019898,0.45428,1.3219362440109252,0.5281
13,1.4658231272125244,0.4736,1.3313484254837036,0.522
14,1.4768860134887696,0.46834,1.333654520225525,0.5173
15,1.4547452118301392,0.4728,1.3101324228286744,0.5272
16,1.4501867012405396,0.47806,1.3292738021850585,0.5192
17,1.461766162033081,0.47254,1.3780369548797606,0.5053
18,1.447611441307068,0.47654,1.277954197692871,0.547
19,1.4491669342803954,0.47664,1.2802382738113403,0.5409
20,1.4606599185180664,0.4743,1.3675791484832764,0.4984
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9015797283554077 0.3039 1.6871370712280274 0.3947
3 2 1.6032403519821168 0.4152 1.4519082370758056 0.4649
4 3 1.5410432431793213 0.44184 1.371306716156006 0.4915
5 4 1.5103425858688355 0.45614 1.4346882278442383 0.4913
6 5 1.5013815983963013 0.456 1.3663070734024048 0.4951
7 6 1.5020151425552368 0.45416 1.36682343044281 0.5039
8 7 1.49663742893219 0.45978 1.323156630897522 0.5232
9 8 1.477861526107788 0.46658 1.3874903659820557 0.5081
10 9 1.472189111251831 0.46874 1.3448004537582396 0.5121
11 10 1.4770725217819214 0.46474 1.341456114578247 0.5166
12 11 1.4564127297210694 0.47708 1.2886124462127686 0.5293
13 12 1.5129934811019898 0.45428 1.3219362440109252 0.5281
14 13 1.4658231272125244 0.4736 1.3313484254837036 0.522
15 14 1.4768860134887696 0.46834 1.333654520225525 0.5173
16 15 1.4547452118301392 0.4728 1.3101324228286744 0.5272
17 16 1.4501867012405396 0.47806 1.3292738021850585 0.5192
18 17 1.461766162033081 0.47254 1.3780369548797606 0.5053
19 18 1.447611441307068 0.47654 1.277954197692871 0.547
20 19 1.4491669342803954 0.47664 1.2802382738113403 0.5409
21 20 1.4606599185180664 0.4743 1.3675791484832764 0.4984
Project/analysis/history_adam_none_999.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.8454712069320678,0.32346,1.5677360635757447,0.4279
2,1.6003490134811402,0.41786,1.4861061136245728,0.4632
3,1.5371953969573975,0.44236,1.4539190216064453,0.4733
4,1.524127781944275,0.45006,1.3829264806747437,0.505
5,1.5006125688171388,0.45966,1.3783319478988647,0.502
6,1.4872980946731567,0.46374,1.3886339023590089,0.5019
7,1.4861942530059815,0.46,1.4412277736663819,0.4721
8,1.5050456002044679,0.458,1.3324725828170776,0.5218
9,1.4739490990066528,0.46516,1.323778917312622,0.5296
10,1.4616954332733154,0.47098,1.3400814496994018,0.5201
11,1.4587705549240113,0.47354,1.309501482772827,0.5378
12,1.4562981714630128,0.47654,1.3954745462417601,0.5143
13,1.450860862197876,0.4802,1.3416914821624757,0.5187
14,1.4455588480377197,0.48014,1.2786856636047363,0.548
15,1.4538489317321777,0.48116,1.315366445350647,0.5394
16,1.4860243936157227,0.46902,1.3105680742263794,0.5308
17,1.4425668993759155,0.4783,1.3113457733154297,0.5372
18,1.4487706513214111,0.4759,1.3786734741210938,0.5051
19,1.4291919551467895,0.48284,1.3119900798797608,0.5372
20,1.4437602603912354,0.48114,1.259741804122925,0.556
1 epoch train_loss train_acc test_loss test_acc
2 1 1.8454712069320678 0.32346 1.5677360635757447 0.4279
3 2 1.6003490134811402 0.41786 1.4861061136245728 0.4632
4 3 1.5371953969573975 0.44236 1.4539190216064453 0.4733
5 4 1.524127781944275 0.45006 1.3829264806747437 0.505
6 5 1.5006125688171388 0.45966 1.3783319478988647 0.502
7 6 1.4872980946731567 0.46374 1.3886339023590089 0.5019
8 7 1.4861942530059815 0.46 1.4412277736663819 0.4721
9 8 1.5050456002044679 0.458 1.3324725828170776 0.5218
10 9 1.4739490990066528 0.46516 1.323778917312622 0.5296
11 10 1.4616954332733154 0.47098 1.3400814496994018 0.5201
12 11 1.4587705549240113 0.47354 1.309501482772827 0.5378
13 12 1.4562981714630128 0.47654 1.3954745462417601 0.5143
14 13 1.450860862197876 0.4802 1.3416914821624757 0.5187
15 14 1.4455588480377197 0.48014 1.2786856636047363 0.548
16 15 1.4538489317321777 0.48116 1.315366445350647 0.5394
17 16 1.4860243936157227 0.46902 1.3105680742263794 0.5308
18 17 1.4425668993759155 0.4783 1.3113457733154297 0.5372
19 18 1.4487706513214111 0.4759 1.3786734741210938 0.5051
20 19 1.4291919551467895 0.48284 1.3119900798797608 0.5372
21 20 1.4437602603912354 0.48114 1.259741804122925 0.556
Project/analysis/history_adam_standard_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.0573630228042603,0.2491,1.8283799295425416,0.3183
2,1.808153849182129,0.3266,1.6456665771484376,0.378
3,1.753247998008728,0.34604,1.6158345397949219,0.3985
4,1.721941413230896,0.36686,1.5776695816040038,0.4228
5,1.7048808489990235,0.37028,1.5212398496627808,0.4512
6,1.6865429331207276,0.37936,1.481686958694458,0.449
7,1.6720955381011964,0.3858,1.5646504203796388,0.4257
8,1.6756063533782959,0.38306,1.5534727085113524,0.4274
9,1.6735252333068849,0.3839,1.4908922216415406,0.4686
10,1.6613293509292602,0.3906,1.5141861679077149,0.451
11,1.660574383468628,0.38788,1.5027179416656493,0.4561
12,1.6742186321640016,0.38374,1.4785913095474243,0.4539
13,1.6540580016326905,0.3938,1.4502152013778686,0.4571
14,1.6618211807632446,0.39018,1.5403156909942628,0.4337
15,1.6527680168533325,0.39332,1.4511047771453858,0.4789
16,1.645100059890747,0.39646,1.43847534198761,0.4773
17,1.6513261923599243,0.39488,1.4823436264038086,0.4453
18,1.6383419089508056,0.40116,1.495237015724182,0.4499
19,1.6509938947296143,0.39756,1.4486223876953126,0.4687
20,1.6417471273422242,0.39988,1.4995165328979492,0.462
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0573630228042603 0.2491 1.8283799295425416 0.3183
3 2 1.808153849182129 0.3266 1.6456665771484376 0.378
4 3 1.753247998008728 0.34604 1.6158345397949219 0.3985
5 4 1.721941413230896 0.36686 1.5776695816040038 0.4228
6 5 1.7048808489990235 0.37028 1.5212398496627808 0.4512
7 6 1.6865429331207276 0.37936 1.481686958694458 0.449
8 7 1.6720955381011964 0.3858 1.5646504203796388 0.4257
9 8 1.6756063533782959 0.38306 1.5534727085113524 0.4274
10 9 1.6735252333068849 0.3839 1.4908922216415406 0.4686
11 10 1.6613293509292602 0.3906 1.5141861679077149 0.451
12 11 1.660574383468628 0.38788 1.5027179416656493 0.4561
13 12 1.6742186321640016 0.38374 1.4785913095474243 0.4539
14 13 1.6540580016326905 0.3938 1.4502152013778686 0.4571
15 14 1.6618211807632446 0.39018 1.5403156909942628 0.4337
16 15 1.6527680168533325 0.39332 1.4511047771453858 0.4789
17 16 1.645100059890747 0.39646 1.43847534198761 0.4773
18 17 1.6513261923599243 0.39488 1.4823436264038086 0.4453
19 18 1.6383419089508056 0.40116 1.495237015724182 0.4499
20 19 1.6509938947296143 0.39756 1.4486223876953126 0.4687
21 20 1.6417471273422242 0.39988 1.4995165328979492 0.462
Project/analysis/history_adam_standard_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.014116881027222,0.26518,1.7019136341094971,0.3769
2,1.8181559704208374,0.32602,1.6809476217269896,0.3798
3,1.7674869966888427,0.34662,1.6972094938278197,0.373
4,1.752722897453308,0.3521,1.5924717903137207,0.4044
5,1.748039944114685,0.35244,1.5717085536956787,0.4246
6,1.7371159115219117,0.35314,1.6360073663711547,0.3957
7,1.7332507349395752,0.35908,1.5807278701782226,0.4193
8,1.7280795514678955,0.3615,1.5841178344726563,0.4158
9,1.7286223630142212,0.35826,1.5960125846862794,0.4188
10,1.7247096759414673,0.36294,1.580347721672058,0.4255
11,1.72447563621521,0.36342,1.6092770568847656,0.406
12,1.7200987982559204,0.36386,1.58438682346344,0.4252
13,1.7571224234008789,0.35432,1.7571450429916382,0.3504
14,1.7474284732818604,0.3558,1.620937774848938,0.3959
15,1.7277102383804321,0.3594,1.5965348707199096,0.4276
16,1.7246993078613282,0.36316,1.5578019842147828,0.429
17,1.716722907333374,0.3643,1.5713054029464721,0.424
18,1.7226240491104126,0.35982,1.5993318134307861,0.3964
19,1.7280442880249023,0.36182,1.5774778314590454,0.4154
20,1.7140190068817138,0.36316,1.5883642023086548,0.4128
1 epoch train_loss train_acc test_loss test_acc
2 1 2.014116881027222 0.26518 1.7019136341094971 0.3769
3 2 1.8181559704208374 0.32602 1.6809476217269896 0.3798
4 3 1.7674869966888427 0.34662 1.6972094938278197 0.373
5 4 1.752722897453308 0.3521 1.5924717903137207 0.4044
6 5 1.748039944114685 0.35244 1.5717085536956787 0.4246
7 6 1.7371159115219117 0.35314 1.6360073663711547 0.3957
8 7 1.7332507349395752 0.35908 1.5807278701782226 0.4193
9 8 1.7280795514678955 0.3615 1.5841178344726563 0.4158
10 9 1.7286223630142212 0.35826 1.5960125846862794 0.4188
11 10 1.7247096759414673 0.36294 1.580347721672058 0.4255
12 11 1.72447563621521 0.36342 1.6092770568847656 0.406
13 12 1.7200987982559204 0.36386 1.58438682346344 0.4252
14 13 1.7571224234008789 0.35432 1.7571450429916382 0.3504
15 14 1.7474284732818604 0.3558 1.620937774848938 0.3959
16 15 1.7277102383804321 0.3594 1.5965348707199096 0.4276
17 16 1.7246993078613282 0.36316 1.5578019842147828 0.429
18 17 1.716722907333374 0.3643 1.5713054029464721 0.424
19 18 1.7226240491104126 0.35982 1.5993318134307861 0.3964
20 19 1.7280442880249023 0.36182 1.5774778314590454 0.4154
21 20 1.7140190068817138 0.36316 1.5883642023086548 0.4128
Project/analysis/history_sgd_aggressive_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.074842978553772,0.2321,1.8135286460876465,0.3464
2,1.8202483989715577,0.33832,1.601849068069458,0.4114
3,1.6800080819702148,0.38962,1.4346690870285035,0.4786
4,1.6108920947265626,0.41422,1.410789061355591,0.4937
5,1.5602197430038451,0.43434,1.3864108823776244,0.4937
6,1.5249909924697875,0.44654,1.3081797481536865,0.5289
7,1.4851352381134033,0.4626,1.3037838243484496,0.5382
8,1.4561926398849487,0.47614,1.2144829073905945,0.5633
9,1.4245338591766357,0.48662,1.1912867235183715,0.5756
10,1.404860743598938,0.49476,1.1602596988677978,0.5834
11,1.3792334610748291,0.50492,1.1169185941696167,0.6075
12,1.3638545850372314,0.51038,1.083746408367157,0.6156
13,1.339594167098999,0.52216,1.0875441018104552,0.6145
14,1.3327489657974243,0.52494,1.0794508327484131,0.6234
15,1.314370972480774,0.5307,1.0695297025680541,0.6197
16,1.2982412660217286,0.53638,1.0055400819778442,0.6471
17,1.2795147993087768,0.54412,1.0264243045806885,0.6391
18,1.2759248006820678,0.54682,1.0114541644096375,0.6519
19,1.2656549953079224,0.5506,0.9857818864822387,0.6522
20,1.246139160194397,0.556,0.9813527516365051,0.6549
1 epoch train_loss train_acc test_loss test_acc
2 1 2.074842978553772 0.2321 1.8135286460876465 0.3464
3 2 1.8202483989715577 0.33832 1.601849068069458 0.4114
4 3 1.6800080819702148 0.38962 1.4346690870285035 0.4786
5 4 1.6108920947265626 0.41422 1.410789061355591 0.4937
6 5 1.5602197430038451 0.43434 1.3864108823776244 0.4937
7 6 1.5249909924697875 0.44654 1.3081797481536865 0.5289
8 7 1.4851352381134033 0.4626 1.3037838243484496 0.5382
9 8 1.4561926398849487 0.47614 1.2144829073905945 0.5633
10 9 1.4245338591766357 0.48662 1.1912867235183715 0.5756
11 10 1.404860743598938 0.49476 1.1602596988677978 0.5834
12 11 1.3792334610748291 0.50492 1.1169185941696167 0.6075
13 12 1.3638545850372314 0.51038 1.083746408367157 0.6156
14 13 1.339594167098999 0.52216 1.0875441018104552 0.6145
15 14 1.3327489657974243 0.52494 1.0794508327484131 0.6234
16 15 1.314370972480774 0.5307 1.0695297025680541 0.6197
17 16 1.2982412660217286 0.53638 1.0055400819778442 0.6471
18 17 1.2795147993087768 0.54412 1.0264243045806885 0.6391
19 18 1.2759248006820678 0.54682 1.0114541644096375 0.6519
20 19 1.2656549953079224 0.5506 0.9857818864822387 0.6522
21 20 1.246139160194397 0.556 0.9813527516365051 0.6549
Project/analysis/history_sgd_aggressive_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.084733605880737,0.23054,1.805083052444458,0.3441
2,1.8338969733428956,0.33488,1.5635989295959474,0.443
3,1.6894913947296142,0.3863,1.4450351499557494,0.4813
4,1.6148385356521606,0.41256,1.4190383405685425,0.4857
5,1.5608203945922852,0.4371,1.3209244800567628,0.5285
6,1.5059256549453734,0.4561,1.268412045097351,0.5529
7,1.4648617097091674,0.47256,1.2074650314331055,0.563
8,1.434335672302246,0.4834,1.1721592065811157,0.5902
9,1.40667203125,0.4967,1.1277678930282593,0.5973
10,1.374456730003357,0.50802,1.145589846420288,0.5938
11,1.3582844898986817,0.514,1.0862995162963867,0.6214
12,1.3364373119354247,0.5204,1.0743581775665283,0.6195
13,1.3238696041107179,0.52766,1.0620485213279725,0.6267
14,1.3081258194732666,0.53312,1.0225723578453063,0.6412
15,1.288412784729004,0.53812,1.0684286714553832,0.6204
16,1.2836802099990845,0.5423,1.0006577738761901,0.6496
17,1.2708675945281982,0.54806,1.0162318713188172,0.6482
18,1.2681347032546997,0.54748,1.0420465433120727,0.6345
19,1.2533282422256469,0.55522,0.963789785194397,0.6623
20,1.2364999733352662,0.56218,0.9658513239860534,0.6628
1 epoch train_loss train_acc test_loss test_acc
2 1 2.084733605880737 0.23054 1.805083052444458 0.3441
3 2 1.8338969733428956 0.33488 1.5635989295959474 0.443
4 3 1.6894913947296142 0.3863 1.4450351499557494 0.4813
5 4 1.6148385356521606 0.41256 1.4190383405685425 0.4857
6 5 1.5608203945922852 0.4371 1.3209244800567628 0.5285
7 6 1.5059256549453734 0.4561 1.268412045097351 0.5529
8 7 1.4648617097091674 0.47256 1.2074650314331055 0.563
9 8 1.434335672302246 0.4834 1.1721592065811157 0.5902
10 9 1.40667203125 0.4967 1.1277678930282593 0.5973
11 10 1.374456730003357 0.50802 1.145589846420288 0.5938
12 11 1.3582844898986817 0.514 1.0862995162963867 0.6214
13 12 1.3364373119354247 0.5204 1.0743581775665283 0.6195
14 13 1.3238696041107179 0.52766 1.0620485213279725 0.6267
15 14 1.3081258194732666 0.53312 1.0225723578453063 0.6412
16 15 1.288412784729004 0.53812 1.0684286714553832 0.6204
17 16 1.2836802099990845 0.5423 1.0006577738761901 0.6496
18 17 1.2708675945281982 0.54806 1.0162318713188172 0.6482
19 18 1.2681347032546997 0.54748 1.0420465433120727 0.6345
20 19 1.2533282422256469 0.55522 0.963789785194397 0.6623
21 20 1.2364999733352662 0.56218 0.9658513239860534 0.6628
Project/analysis/history_sgd_aggressive_999.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.0803882836151124,0.2287,1.789647598838806,0.3638
2,1.8214346895599365,0.33986,1.5701804725646973,0.428
3,1.6871508443450929,0.38696,1.5095456941604615,0.4568
4,1.6141029256820678,0.41464,1.4065279888153077,0.5012
5,1.5632627973175048,0.43602,1.3370622457504273,0.5173
6,1.5216406153869628,0.45132,1.2780111961364746,0.5414
7,1.4851566635894775,0.46554,1.254789323425293,0.5411
8,1.4516518106079102,0.477,1.224256973171234,0.5632
9,1.4208706899261474,0.48922,1.2024554361343385,0.5696
10,1.3847549717330934,0.50358,1.1307642597198486,0.6014
11,1.367606183242798,0.50876,1.1109876449584961,0.6076
12,1.3521447608184813,0.51576,1.0782893854141236,0.611
13,1.3337134902954102,0.52338,1.078674609375,0.6199
14,1.3183710289382935,0.5275,1.0492525255203247,0.6326
15,1.309831443862915,0.53334,1.0428013453483582,0.6284
16,1.2975196259307862,0.5399,1.0418389265060424,0.6349
17,1.2833650760650634,0.5448,1.1197743309020995,0.596
18,1.2782311374664306,0.54604,0.9917507829666138,0.6546
19,1.2591375436401366,0.55266,0.9647492932319641,0.6582
20,1.2543545852279663,0.55702,0.9729726590156555,0.6574
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0803882836151124 0.2287 1.789647598838806 0.3638
3 2 1.8214346895599365 0.33986 1.5701804725646973 0.428
4 3 1.6871508443450929 0.38696 1.5095456941604615 0.4568
5 4 1.6141029256820678 0.41464 1.4065279888153077 0.5012
6 5 1.5632627973175048 0.43602 1.3370622457504273 0.5173
7 6 1.5216406153869628 0.45132 1.2780111961364746 0.5414
8 7 1.4851566635894775 0.46554 1.254789323425293 0.5411
9 8 1.4516518106079102 0.477 1.224256973171234 0.5632
10 9 1.4208706899261474 0.48922 1.2024554361343385 0.5696
11 10 1.3847549717330934 0.50358 1.1307642597198486 0.6014
12 11 1.367606183242798 0.50876 1.1109876449584961 0.6076
13 12 1.3521447608184813 0.51576 1.0782893854141236 0.611
14 13 1.3337134902954102 0.52338 1.078674609375 0.6199
15 14 1.3183710289382935 0.5275 1.0492525255203247 0.6326
16 15 1.309831443862915 0.53334 1.0428013453483582 0.6284
17 16 1.2975196259307862 0.5399 1.0418389265060424 0.6349
18 17 1.2833650760650634 0.5448 1.1197743309020995 0.596
19 18 1.2782311374664306 0.54604 0.9917507829666138 0.6546
20 19 1.2591375436401366 0.55266 0.9647492932319641 0.6582
21 20 1.2543545852279663 0.55702 0.9729726590156555 0.6574
Project/analysis/history_sgd_none_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.9567125562286376,0.2868,1.6595897144317626,0.4048
2,1.5607059629058837,0.43864,1.4107039302825928,0.4848
3,1.393210672225952,0.49774,1.2663319400787354,0.5489
4,1.3098828198623658,0.52998,1.205306915473938,0.5761
5,1.2406870504379273,0.5571,1.1519119177818298,0.5984
6,1.1775763750839234,0.58036,1.1193829996109008,0.6051
7,1.1138219023132325,0.60238,1.0738257904052735,0.6176
8,1.070581941833496,0.61852,1.0231942397117615,0.6371
9,1.030339531364441,0.63532,0.9935429817199707,0.6441
10,0.9900466967391968,0.65002,0.9499927408218384,0.6665
11,0.9637177305793763,0.66046,0.9340457020759583,0.6675
12,0.9254747213745117,0.67558,0.9082785024642944,0.6792
13,0.908202090473175,0.6779,0.9268069096565247,0.6748
14,0.8821638398742676,0.68774,0.8835061459541321,0.6887
15,0.8548155406951904,0.69706,0.8872944156646728,0.6871
16,0.8442007188415528,0.70044,0.8849920805931091,0.6918
17,0.8165878020095825,0.70872,0.8710031011581421,0.6989
18,0.7962540114593506,0.718,0.8807716882705688,0.6914
19,0.7728271597862244,0.72794,0.852915700340271,0.7069
20,0.758258864402771,0.7303,0.8573900122642517,0.7003
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9567125562286376 0.2868 1.6595897144317626 0.4048
3 2 1.5607059629058837 0.43864 1.4107039302825928 0.4848
4 3 1.393210672225952 0.49774 1.2663319400787354 0.5489
5 4 1.3098828198623658 0.52998 1.205306915473938 0.5761
6 5 1.2406870504379273 0.5571 1.1519119177818298 0.5984
7 6 1.1775763750839234 0.58036 1.1193829996109008 0.6051
8 7 1.1138219023132325 0.60238 1.0738257904052735 0.6176
9 8 1.070581941833496 0.61852 1.0231942397117615 0.6371
10 9 1.030339531364441 0.63532 0.9935429817199707 0.6441
11 10 0.9900466967391968 0.65002 0.9499927408218384 0.6665
12 11 0.9637177305793763 0.66046 0.9340457020759583 0.6675
13 12 0.9254747213745117 0.67558 0.9082785024642944 0.6792
14 13 0.908202090473175 0.6779 0.9268069096565247 0.6748
15 14 0.8821638398742676 0.68774 0.8835061459541321 0.6887
16 15 0.8548155406951904 0.69706 0.8872944156646728 0.6871
17 16 0.8442007188415528 0.70044 0.8849920805931091 0.6918
18 17 0.8165878020095825 0.70872 0.8710031011581421 0.6989
19 18 0.7962540114593506 0.718 0.8807716882705688 0.6914
20 19 0.7728271597862244 0.72794 0.852915700340271 0.7069
21 20 0.758258864402771 0.7303 0.8573900122642517 0.7003
Project/analysis/history_sgd_none_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.0236042365264892,0.257,1.723145390892029,0.3901
2,1.5985155703353882,0.4249,1.4042083190917969,0.4924
3,1.4218818955612182,0.48632,1.2928504508972167,0.5413
4,1.3203161227035523,0.52612,1.2168406352996826,0.5661
5,1.2403734153366088,0.55756,1.149209902381897,0.5939
6,1.1671098303222656,0.58366,1.1203332425117494,0.5994
7,1.112549086380005,0.6046,1.0411104937553406,0.6325
8,1.0569730423927308,0.62496,1.014323724079132,0.6456
9,1.0219695941925049,0.6371,0.9721902985572815,0.659
10,0.9759654503250123,0.65288,0.942803035736084,0.6697
11,0.9441324331092834,0.66574,0.9112948065757751,0.679
12,0.9140988022041321,0.67698,0.8975791595458984,0.6881
13,0.8857126325798035,0.68738,0.8933684177398682,0.689
14,0.859081026725769,0.69532,0.8806665014266968,0.6958
15,0.8373628576278687,0.7053,0.8862028203964233,0.6894
16,0.8062883552742004,0.71626,0.8928611957550049,0.6907
17,0.7948164237213134,0.71876,0.8475546907424927,0.7084
18,0.7735403092384339,0.72452,0.8641609072685241,0.7011
19,0.7580092010688781,0.7301,0.8455605938911438,0.7051
20,0.7356696060180664,0.73766,0.8630998106002807,0.704
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0236042365264892 0.257 1.723145390892029 0.3901
3 2 1.5985155703353882 0.4249 1.4042083190917969 0.4924
4 3 1.4218818955612182 0.48632 1.2928504508972167 0.5413
5 4 1.3203161227035523 0.52612 1.2168406352996826 0.5661
6 5 1.2403734153366088 0.55756 1.149209902381897 0.5939
7 6 1.1671098303222656 0.58366 1.1203332425117494 0.5994
8 7 1.112549086380005 0.6046 1.0411104937553406 0.6325
9 8 1.0569730423927308 0.62496 1.014323724079132 0.6456
10 9 1.0219695941925049 0.6371 0.9721902985572815 0.659
11 10 0.9759654503250123 0.65288 0.942803035736084 0.6697
12 11 0.9441324331092834 0.66574 0.9112948065757751 0.679
13 12 0.9140988022041321 0.67698 0.8975791595458984 0.6881
14 13 0.8857126325798035 0.68738 0.8933684177398682 0.689
15 14 0.859081026725769 0.69532 0.8806665014266968 0.6958
16 15 0.8373628576278687 0.7053 0.8862028203964233 0.6894
17 16 0.8062883552742004 0.71626 0.8928611957550049 0.6907
18 17 0.7948164237213134 0.71876 0.8475546907424927 0.7084
19 18 0.7735403092384339 0.72452 0.8641609072685241 0.7011
20 19 0.7580092010688781 0.7301 0.8455605938911438 0.7051
21 20 0.7356696060180664 0.73766 0.8630998106002807 0.704
Project/analysis/history_sgd_none_999.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,1.9932699127578735,0.26908,1.652609211730957,0.4115
2,1.6025463925170897,0.42024,1.4165557703018188,0.4886
3,1.4385107410812379,0.47978,1.3373357730865478,0.5276
4,1.329945457725525,0.52296,1.207246643447876,0.5639
5,1.2507697713470458,0.55224,1.1396601531982422,0.5997
6,1.1825159574127198,0.5785,1.0910413694381713,0.6131
7,1.129948296546936,0.59706,1.0626532356262206,0.6223
8,1.0810239276123046,0.61532,1.0606243711471557,0.6271
9,1.0398018453979492,0.63036,0.9847188907623291,0.6508
10,1.0001467765808105,0.64718,0.978429046344757,0.6578
11,0.9662233278274536,0.65672,0.9435468803405762,0.6703
12,0.9290380508804321,0.67348,0.9357032821655273,0.6739
13,0.8968851718902587,0.6826,0.9126621349334717,0.6813
14,0.8746093656349182,0.69122,0.889759654712677,0.6948
15,0.8559883063125611,0.69704,0.8787766233444214,0.6967
16,0.8247946104431152,0.70706,0.8809524188995361,0.6961
17,0.8109111586380005,0.71618,0.8809684686660767,0.6933
18,0.7986607175636291,0.7161,0.8621552461624146,0.7016
19,0.7699470348548889,0.72814,0.8589315553665161,0.7061
20,0.7543044216918945,0.73224,0.8606150555610657,0.7066
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9932699127578735 0.26908 1.652609211730957 0.4115
3 2 1.6025463925170897 0.42024 1.4165557703018188 0.4886
4 3 1.4385107410812379 0.47978 1.3373357730865478 0.5276
5 4 1.329945457725525 0.52296 1.207246643447876 0.5639
6 5 1.2507697713470458 0.55224 1.1396601531982422 0.5997
7 6 1.1825159574127198 0.5785 1.0910413694381713 0.6131
8 7 1.129948296546936 0.59706 1.0626532356262206 0.6223
9 8 1.0810239276123046 0.61532 1.0606243711471557 0.6271
10 9 1.0398018453979492 0.63036 0.9847188907623291 0.6508
11 10 1.0001467765808105 0.64718 0.978429046344757 0.6578
12 11 0.9662233278274536 0.65672 0.9435468803405762 0.6703
13 12 0.9290380508804321 0.67348 0.9357032821655273 0.6739
14 13 0.8968851718902587 0.6826 0.9126621349334717 0.6813
15 14 0.8746093656349182 0.69122 0.889759654712677 0.6948
16 15 0.8559883063125611 0.69704 0.8787766233444214 0.6967
17 16 0.8247946104431152 0.70706 0.8809524188995361 0.6961
18 17 0.8109111586380005 0.71618 0.8809684686660767 0.6933
19 18 0.7986607175636291 0.7161 0.8621552461624146 0.7016
20 19 0.7699470348548889 0.72814 0.8589315553665161 0.7061
21 20 0.7543044216918945 0.73224 0.8606150555610657 0.7066
Project/analysis/history_sgd_standard_123.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.0493293154907226,0.2425,1.7525886156082153,0.3748
2,1.7320209578704835,0.3674,1.5615552814483642,0.4388
3,1.598600202560425,0.4189,1.3815029901504516,0.4997
4,1.5132850009155274,0.44868,1.3364418529510498,0.5207
5,1.453274436149597,0.47022,1.2501229566574097,0.5498
6,1.3984402522277832,0.49416,1.2111383409500123,0.5629
7,1.3466207969284059,0.51412,1.1169193510055542,0.6038
8,1.3081947090530395,0.52678,1.1443196024894715,0.5976
9,1.2682366030120849,0.54628,1.0807610153198242,0.6125
10,1.2392250786972046,0.55564,1.0270665140151978,0.6391
11,1.2111315982818605,0.5651,1.017524287033081,0.6409
12,1.1976571616363525,0.57106,0.9696040712356567,0.6622
13,1.1811721408843994,0.57794,0.9810876142501831,0.6563
14,1.16085556640625,0.58526,0.9509256943702697,0.6652
15,1.152661986503601,0.58886,0.9255242247581482,0.6769
16,1.1375279732131958,0.5958,0.9393579832077026,0.6742
17,1.1235777826309203,0.59944,0.9380761775970459,0.6738
18,1.125510050086975,0.6006,0.9149430327415466,0.6828
19,1.107088499584198,0.60576,0.8883607380867005,0.6866
20,1.0925483314132691,0.611,0.9142857453346253,0.6797
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0493293154907226 0.2425 1.7525886156082153 0.3748
3 2 1.7320209578704835 0.3674 1.5615552814483642 0.4388
4 3 1.598600202560425 0.4189 1.3815029901504516 0.4997
5 4 1.5132850009155274 0.44868 1.3364418529510498 0.5207
6 5 1.453274436149597 0.47022 1.2501229566574097 0.5498
7 6 1.3984402522277832 0.49416 1.2111383409500123 0.5629
8 7 1.3466207969284059 0.51412 1.1169193510055542 0.6038
9 8 1.3081947090530395 0.52678 1.1443196024894715 0.5976
10 9 1.2682366030120849 0.54628 1.0807610153198242 0.6125
11 10 1.2392250786972046 0.55564 1.0270665140151978 0.6391
12 11 1.2111315982818605 0.5651 1.017524287033081 0.6409
13 12 1.1976571616363525 0.57106 0.9696040712356567 0.6622
14 13 1.1811721408843994 0.57794 0.9810876142501831 0.6563
15 14 1.16085556640625 0.58526 0.9509256943702697 0.6652
16 15 1.152661986503601 0.58886 0.9255242247581482 0.6769
17 16 1.1375279732131958 0.5958 0.9393579832077026 0.6742
18 17 1.1235777826309203 0.59944 0.9380761775970459 0.6738
19 18 1.125510050086975 0.6006 0.9149430327415466 0.6828
20 19 1.107088499584198 0.60576 0.8883607380867005 0.6866
21 20 1.0925483314132691 0.611 0.9142857453346253 0.6797
Project/analysis/history_sgd_standard_42.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.064392961997986,0.23846,1.7686689800262452,0.3761
2,1.7451289974212647,0.3644,1.5356458026885986,0.4497
3,1.588267235183716,0.42186,1.3689933862686157,0.5059
4,1.519119600906372,0.44644,1.3433129314422607,0.5085
5,1.4625473209762574,0.46948,1.277887591934204,0.5426
6,1.4183696475982666,0.48196,1.2298621862411498,0.5589
7,1.380669080886841,0.50072,1.257154960823059,0.5392
8,1.344734386291504,0.51252,1.20913639087677,0.5659
9,1.3033011206817626,0.53002,1.083999695968628,0.6162
10,1.2634273228454589,0.5458,1.0644443402290344,0.6254
11,1.2577572822189331,0.54942,1.030274422645569,0.6359
12,1.2248346060943605,0.56484,1.0397949484825135,0.6295
13,1.2027203491973877,0.57098,0.9911274933815002,0.6492
14,1.187558348007202,0.57758,0.9643227214813233,0.6593
15,1.1724095825195313,0.5828,0.9574517963409424,0.6634
16,1.1600826649475098,0.5883,0.9531858426094055,0.6656
17,1.148004737739563,0.59024,0.9419389196395874,0.6644
18,1.135836477394104,0.59494,0.9213238637924195,0.6784
19,1.117524945716858,0.60416,0.924640416431427,0.6748
20,1.1149262449264525,0.60376,0.8988444912910462,0.6854
1 epoch train_loss train_acc test_loss test_acc
2 1 2.064392961997986 0.23846 1.7686689800262452 0.3761
3 2 1.7451289974212647 0.3644 1.5356458026885986 0.4497
4 3 1.588267235183716 0.42186 1.3689933862686157 0.5059
5 4 1.519119600906372 0.44644 1.3433129314422607 0.5085
6 5 1.4625473209762574 0.46948 1.277887591934204 0.5426
7 6 1.4183696475982666 0.48196 1.2298621862411498 0.5589
8 7 1.380669080886841 0.50072 1.257154960823059 0.5392
9 8 1.344734386291504 0.51252 1.20913639087677 0.5659
10 9 1.3033011206817626 0.53002 1.083999695968628 0.6162
11 10 1.2634273228454589 0.5458 1.0644443402290344 0.6254
12 11 1.2577572822189331 0.54942 1.030274422645569 0.6359
13 12 1.2248346060943605 0.56484 1.0397949484825135 0.6295
14 13 1.2027203491973877 0.57098 0.9911274933815002 0.6492
15 14 1.187558348007202 0.57758 0.9643227214813233 0.6593
16 15 1.1724095825195313 0.5828 0.9574517963409424 0.6634
17 16 1.1600826649475098 0.5883 0.9531858426094055 0.6656
18 17 1.148004737739563 0.59024 0.9419389196395874 0.6644
19 18 1.135836477394104 0.59494 0.9213238637924195 0.6784
20 19 1.117524945716858 0.60416 0.924640416431427 0.6748
21 20 1.1149262449264525 0.60376 0.8988444912910462 0.6854
Project/analysis/history_sgd_standard_999.csv
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epoch,train_loss,train_acc,test_loss,test_acc
1,2.0648545223999024,0.23818,1.765181273651123,0.3742
2,1.7573804076766968,0.362,1.535401229095459,0.4471
3,1.611904190979004,0.41362,1.4302934280395507,0.4844
4,1.525922943458557,0.44314,1.3388441865921021,0.5087
5,1.467007992515564,0.46652,1.2719555583953857,0.5469
6,1.4222887012481689,0.48284,1.248225646018982,0.5555
7,1.373562057991028,0.50482,1.169153240585327,0.5856
8,1.3381992527008058,0.51634,1.1345109245300293,0.6014
9,1.3071355611419677,0.53108,1.103178568649292,0.6051
10,1.265291601448059,0.54506,1.071216807079315,0.6169
11,1.244923010597229,0.55354,1.068904607105255,0.6212
12,1.2326332139205933,0.55886,1.055773473072052,0.6307
13,1.2040435157012939,0.57052,0.9872216351509094,0.6528
14,1.1909678496170044,0.57444,0.9747416945457459,0.6634
15,1.16843085231781,0.58078,0.9478087964057922,0.6734
16,1.1639410251617432,0.58364,0.9701937286376953,0.6655
17,1.14788178440094,0.59224,0.947301069355011,0.6735
18,1.1326425197601317,0.5989,0.9041819067955017,0.6868
19,1.1362577977752686,0.59788,0.9516706992149353,0.6716
20,1.1200445556259155,0.60232,0.9014985984802246,0.6861
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0648545223999024 0.23818 1.765181273651123 0.3742
3 2 1.7573804076766968 0.362 1.535401229095459 0.4471
4 3 1.611904190979004 0.41362 1.4302934280395507 0.4844
5 4 1.525922943458557 0.44314 1.3388441865921021 0.5087
6 5 1.467007992515564 0.46652 1.2719555583953857 0.5469
7 6 1.4222887012481689 0.48284 1.248225646018982 0.5555
8 7 1.373562057991028 0.50482 1.169153240585327 0.5856
9 8 1.3381992527008058 0.51634 1.1345109245300293 0.6014
10 9 1.3071355611419677 0.53108 1.103178568649292 0.6051
11 10 1.265291601448059 0.54506 1.071216807079315 0.6169
12 11 1.244923010597229 0.55354 1.068904607105255 0.6212
13 12 1.2326332139205933 0.55886 1.055773473072052 0.6307
14 13 1.2040435157012939 0.57052 0.9872216351509094 0.6528
15 14 1.1909678496170044 0.57444 0.9747416945457459 0.6634
16 15 1.16843085231781 0.58078 0.9478087964057922 0.6734
17 16 1.1639410251617432 0.58364 0.9701937286376953 0.6655
18 17 1.14788178440094 0.59224 0.947301069355011 0.6735
19 18 1.1326425197601317 0.5989 0.9041819067955017 0.6868
20 19 1.1362577977752686 0.59788 0.9516706992149353 0.6716
21 20 1.1200445556259155 0.60232 0.9014985984802246 0.6861