re-ran the tests

This commit is contained in:
2025-04-21 22:34:51 -04:00
parent 23899c703f
commit ebc64d766f
95 changed files with 2446 additions and 74 deletions
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.021981541175842,0.25682,1.7806077911376954,0.3374
2,1.7999388361358644,0.33548,1.61310339717865,0.4133
3,1.7349447472763062,0.3581,1.5748741884231567,0.4205
4,1.7071615340805053,0.36902,1.585918094444275,0.426
5,1.6942062984466553,0.37512,1.5335152185440064,0.4365
6,1.682510565185547,0.38064,1.5587552444458008,0.4198
7,1.6737361584091186,0.38374,1.463624397468567,0.4576
8,1.6662311582946778,0.3874,1.542683459854126,0.4461
9,1.6689811365509033,0.38424,1.4910095794677733,0.4494
10,1.6586080972290038,0.39098,1.4566748039245605,0.4718
11,1.6606470708847045,0.39202,1.45227852268219,0.4709
12,1.6646523748016357,0.39152,1.4916118307113648,0.4603
13,1.6484171169281006,0.39868,1.5345939838409424,0.4381
14,1.6551834521865845,0.39018,1.440371674346924,0.4754
15,1.653093519821167,0.39436,1.465016110420227,0.4632
16,1.6464548859024049,0.39566,1.4275858160018922,0.4774
17,1.6686206332397462,0.39034,1.4911364223480224,0.4495
18,1.6486382946395874,0.39726,1.489304538154602,0.4583
19,1.6871330679321288,0.38462,1.4915159872055053,0.4529
20,1.6607746768188476,0.39282,1.491070439338684,0.4519
1 epoch train_loss train_acc test_loss test_acc
2 1 2.021981541175842 0.25682 1.7806077911376954 0.3374
3 2 1.7999388361358644 0.33548 1.61310339717865 0.4133
4 3 1.7349447472763062 0.3581 1.5748741884231567 0.4205
5 4 1.7071615340805053 0.36902 1.585918094444275 0.426
6 5 1.6942062984466553 0.37512 1.5335152185440064 0.4365
7 6 1.682510565185547 0.38064 1.5587552444458008 0.4198
8 7 1.6737361584091186 0.38374 1.463624397468567 0.4576
9 8 1.6662311582946778 0.3874 1.542683459854126 0.4461
10 9 1.6689811365509033 0.38424 1.4910095794677733 0.4494
11 10 1.6586080972290038 0.39098 1.4566748039245605 0.4718
12 11 1.6606470708847045 0.39202 1.45227852268219 0.4709
13 12 1.6646523748016357 0.39152 1.4916118307113648 0.4603
14 13 1.6484171169281006 0.39868 1.5345939838409424 0.4381
15 14 1.6551834521865845 0.39018 1.440371674346924 0.4754
16 15 1.653093519821167 0.39436 1.465016110420227 0.4632
17 16 1.6464548859024049 0.39566 1.4275858160018922 0.4774
18 17 1.6686206332397462 0.39034 1.4911364223480224 0.4495
19 18 1.6486382946395874 0.39726 1.489304538154602 0.4583
20 19 1.6871330679321288 0.38462 1.4915159872055053 0.4529
21 20 1.6607746768188476 0.39282 1.491070439338684 0.4519
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9946132025909424,0.26546,1.7465605016708374,0.342
2,1.7975156771087646,0.33534,1.6129542232513427,0.4064
3,1.7742824270248414,0.34438,1.5872959531784057,0.42
4,1.737174402770996,0.35786,1.6175920555114747,0.4113
5,1.726973815536499,0.36836,1.5620707996368408,0.4221
6,1.7160892931365967,0.3704,1.536605580329895,0.4449
7,1.696208762741089,0.37986,1.5236610635757446,0.4352
8,1.6957400606536865,0.38076,1.5052044256210326,0.4409
9,1.6930768957138063,0.38038,1.5134387523651123,0.4434
10,1.6858074627304078,0.37872,1.4595767322540283,0.4671
11,1.6876252536773682,0.38142,1.473248080444336,0.456
12,1.6892691661834718,0.38366,1.554956097793579,0.4288
13,1.6795142168426513,0.3832,1.5135724742889405,0.4422
14,1.6710495895767212,0.38514,1.632836058998108,0.4082
15,1.6752502041625976,0.3846,1.459756902885437,0.4628
16,1.6733012282562256,0.38312,1.5108640363693238,0.437
17,1.6646488619613649,0.38898,1.4822496488571166,0.4529
18,1.6782792532348634,0.38288,1.4726739952087402,0.4649
19,1.6774794401168822,0.38574,1.5311094917297363,0.4383
20,1.671811372718811,0.38212,1.5132373497009277,0.4534
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9946132025909424 0.26546 1.7465605016708374 0.342
3 2 1.7975156771087646 0.33534 1.6129542232513427 0.4064
4 3 1.7742824270248414 0.34438 1.5872959531784057 0.42
5 4 1.737174402770996 0.35786 1.6175920555114747 0.4113
6 5 1.726973815536499 0.36836 1.5620707996368408 0.4221
7 6 1.7160892931365967 0.3704 1.536605580329895 0.4449
8 7 1.696208762741089 0.37986 1.5236610635757446 0.4352
9 8 1.6957400606536865 0.38076 1.5052044256210326 0.4409
10 9 1.6930768957138063 0.38038 1.5134387523651123 0.4434
11 10 1.6858074627304078 0.37872 1.4595767322540283 0.4671
12 11 1.6876252536773682 0.38142 1.473248080444336 0.456
13 12 1.6892691661834718 0.38366 1.554956097793579 0.4288
14 13 1.6795142168426513 0.3832 1.5135724742889405 0.4422
15 14 1.6710495895767212 0.38514 1.632836058998108 0.4082
16 15 1.6752502041625976 0.3846 1.459756902885437 0.4628
17 16 1.6733012282562256 0.38312 1.5108640363693238 0.437
18 17 1.6646488619613649 0.38898 1.4822496488571166 0.4529
19 18 1.6782792532348634 0.38288 1.4726739952087402 0.4649
20 19 1.6774794401168822 0.38574 1.5311094917297363 0.4383
21 20 1.671811372718811 0.38212 1.5132373497009277 0.4534
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.0723634432601927,0.23022,1.876600818824768,0.3199
2,1.9161218788909913,0.29064,1.731086205482483,0.3617
3,1.8448259813690187,0.3195,1.6460390392303468,0.3999
4,1.8053451504135132,0.33482,1.5930611736297609,0.4099
5,1.7892016728973388,0.34036,1.601932553291321,0.4121
6,1.7877225128936767,0.33872,1.9846259342193604,0.3256
7,1.7722377728652954,0.34716,1.5737567417144775,0.4181
8,1.7613219201278687,0.34792,1.6388108669281005,0.3857
9,1.7486019417953491,0.35528,1.6210294721603393,0.3986
10,1.7620320590209961,0.34984,1.6138639379501343,0.3982
11,1.7493324411010742,0.35366,1.592185188484192,0.4078
12,1.745043455810547,0.35408,1.6113332284927369,0.4106
13,1.7523625258636475,0.3513,1.5707368755340576,0.4204
14,1.7393008434677124,0.3585,1.5894966974258422,0.4125
15,1.7469453559112549,0.35858,1.6415567993164062,0.3921
16,1.7383291018295288,0.35804,1.6457257890701293,0.3887
17,1.7539940619659424,0.35182,1.649910280227661,0.3902
18,1.7417138710403441,0.35358,1.6048244901657105,0.4027
19,1.7405921878814696,0.3585,1.540078621673584,0.4284
20,1.7527848522567748,0.3491,1.5630715839385987,0.4209
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0723634432601927 0.23022 1.876600818824768 0.3199
3 2 1.9161218788909913 0.29064 1.731086205482483 0.3617
4 3 1.8448259813690187 0.3195 1.6460390392303468 0.3999
5 4 1.8053451504135132 0.33482 1.5930611736297609 0.4099
6 5 1.7892016728973388 0.34036 1.601932553291321 0.4121
7 6 1.7877225128936767 0.33872 1.9846259342193604 0.3256
8 7 1.7722377728652954 0.34716 1.5737567417144775 0.4181
9 8 1.7613219201278687 0.34792 1.6388108669281005 0.3857
10 9 1.7486019417953491 0.35528 1.6210294721603393 0.3986
11 10 1.7620320590209961 0.34984 1.6138639379501343 0.3982
12 11 1.7493324411010742 0.35366 1.592185188484192 0.4078
13 12 1.745043455810547 0.35408 1.6113332284927369 0.4106
14 13 1.7523625258636475 0.3513 1.5707368755340576 0.4204
15 14 1.7393008434677124 0.3585 1.5894966974258422 0.4125
16 15 1.7469453559112549 0.35858 1.6415567993164062 0.3921
17 16 1.7383291018295288 0.35804 1.6457257890701293 0.3887
18 17 1.7539940619659424 0.35182 1.649910280227661 0.3902
19 18 1.7417138710403441 0.35358 1.6048244901657105 0.4027
20 19 1.7405921878814696 0.3585 1.540078621673584 0.4284
21 20 1.7527848522567748 0.3491 1.5630715839385987 0.4209
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.7930121985626222,0.34364,1.461875290298462,0.4587
2,1.5388130508041382,0.43978,1.442550922393799,0.4631
3,1.4962808783721924,0.45782,1.4238734016418457,0.4876
4,1.4607513367462157,0.4701,1.347493274497986,0.5141
5,1.4432476579666138,0.47944,1.3734356439590454,0.5123
6,1.421063133468628,0.48706,1.3214570888519288,0.529
7,1.4215787218475342,0.48914,1.3083847173690797,0.5334
8,1.4135805054092407,0.48904,1.3078678575515748,0.5363
9,1.4087683379745484,0.49214,1.3223941360473632,0.5187
10,1.4120303262710572,0.49486,1.2843070182800294,0.5335
11,1.3871485186767578,0.50006,1.2921210390090943,0.5329
12,1.3999624375915527,0.49512,1.2802863786697387,0.5462
13,1.3897427955627442,0.50096,1.2707655395507813,0.5448
14,1.3929189464950562,0.49866,1.280012000465393,0.5352
15,1.3815861407852172,0.50394,1.303921529006958,0.538
16,1.3858564881134032,0.50334,1.271148939704895,0.5447
17,1.3741848274230957,0.50992,1.2622444095611571,0.5518
18,1.3721859537506103,0.50712,1.250786780166626,0.5568
19,1.3785438285064697,0.50654,1.2690851692199707,0.5513
20,1.3659724238586426,0.51068,1.3006612928390502,0.5414
1 epoch train_loss train_acc test_loss test_acc
2 1 1.7930121985626222 0.34364 1.461875290298462 0.4587
3 2 1.5388130508041382 0.43978 1.442550922393799 0.4631
4 3 1.4962808783721924 0.45782 1.4238734016418457 0.4876
5 4 1.4607513367462157 0.4701 1.347493274497986 0.5141
6 5 1.4432476579666138 0.47944 1.3734356439590454 0.5123
7 6 1.421063133468628 0.48706 1.3214570888519288 0.529
8 7 1.4215787218475342 0.48914 1.3083847173690797 0.5334
9 8 1.4135805054092407 0.48904 1.3078678575515748 0.5363
10 9 1.4087683379745484 0.49214 1.3223941360473632 0.5187
11 10 1.4120303262710572 0.49486 1.2843070182800294 0.5335
12 11 1.3871485186767578 0.50006 1.2921210390090943 0.5329
13 12 1.3999624375915527 0.49512 1.2802863786697387 0.5462
14 13 1.3897427955627442 0.50096 1.2707655395507813 0.5448
15 14 1.3929189464950562 0.49866 1.280012000465393 0.5352
16 15 1.3815861407852172 0.50394 1.303921529006958 0.538
17 16 1.3858564881134032 0.50334 1.271148939704895 0.5447
18 17 1.3741848274230957 0.50992 1.2622444095611571 0.5518
19 18 1.3721859537506103 0.50712 1.250786780166626 0.5568
20 19 1.3785438285064697 0.50654 1.2690851692199707 0.5513
21 20 1.3659724238586426 0.51068 1.3006612928390502 0.5414
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.7538864451980591,0.3666,1.5667252685546875,0.4474
2,1.5012665232467652,0.4559,1.4435671327590942,0.4801
3,1.4560056861877442,0.47398,1.3615544191360474,0.511
4,1.4221073620223998,0.48824,1.344312677192688,0.5162
5,1.3943471972274781,0.49968,1.3266402479171753,0.5221
6,1.3839806178665162,0.50374,1.3004958406448364,0.5295
7,1.3604061797332763,0.51462,1.3282047555923462,0.5269
8,1.3528923289108277,0.51308,1.2727963297843934,0.5478
9,1.3496200884246825,0.51504,1.2338088079452514,0.5602
10,1.3384253984069825,0.51992,1.2602990411758423,0.5414
11,1.3298793702697753,0.52298,1.2460808729171753,0.5535
12,1.3380408303070068,0.52314,1.201425923538208,0.5783
13,1.3282683892822265,0.52384,1.2300636964797973,0.5622
14,1.3240932238769532,0.5305,1.2329102926254272,0.5585
15,1.3172099641799926,0.53152,1.2063555044174195,0.5775
16,1.3192347250366212,0.53014,1.2183320951461791,0.5694
17,1.3198897607040405,0.5286,1.2268210130691528,0.5755
18,1.3245510208892821,0.52778,1.248089506149292,0.5589
19,1.3320170434570313,0.5294,1.2209409841537475,0.5715
20,1.3129964478302,0.53108,1.1870027980804443,0.5754
1 epoch train_loss train_acc test_loss test_acc
2 1 1.7538864451980591 0.3666 1.5667252685546875 0.4474
3 2 1.5012665232467652 0.4559 1.4435671327590942 0.4801
4 3 1.4560056861877442 0.47398 1.3615544191360474 0.511
5 4 1.4221073620223998 0.48824 1.344312677192688 0.5162
6 5 1.3943471972274781 0.49968 1.3266402479171753 0.5221
7 6 1.3839806178665162 0.50374 1.3004958406448364 0.5295
8 7 1.3604061797332763 0.51462 1.3282047555923462 0.5269
9 8 1.3528923289108277 0.51308 1.2727963297843934 0.5478
10 9 1.3496200884246825 0.51504 1.2338088079452514 0.5602
11 10 1.3384253984069825 0.51992 1.2602990411758423 0.5414
12 11 1.3298793702697753 0.52298 1.2460808729171753 0.5535
13 12 1.3380408303070068 0.52314 1.201425923538208 0.5783
14 13 1.3282683892822265 0.52384 1.2300636964797973 0.5622
15 14 1.3240932238769532 0.5305 1.2329102926254272 0.5585
16 15 1.3172099641799926 0.53152 1.2063555044174195 0.5775
17 16 1.3192347250366212 0.53014 1.2183320951461791 0.5694
18 17 1.3198897607040405 0.5286 1.2268210130691528 0.5755
19 18 1.3245510208892821 0.52778 1.248089506149292 0.5589
20 19 1.3320170434570313 0.5294 1.2209409841537475 0.5715
21 20 1.3129964478302 0.53108 1.1870027980804443 0.5754
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.7632377227020264,0.35308,1.5758346817016602,0.4299
2,1.524346548271179,0.4486,1.4102591985702515,0.4979
3,1.456631953201294,0.47108,1.3265910715103149,0.5188
4,1.4304079055023193,0.48082,1.377274009513855,0.5
5,1.4108501930999755,0.49066,1.4178906629562378,0.5087
6,1.4031479808807372,0.4983,1.309526050758362,0.5271
7,1.383127350769043,0.50128,1.3740155362129212,0.5123
8,1.3820967692565918,0.50244,1.2505300882339478,0.5529
9,1.3669423685073852,0.51028,1.311721753692627,0.5251
10,1.3696778673553467,0.5087,1.3234023988723755,0.5277
11,1.3733588944244384,0.50774,1.2789020259857178,0.5407
12,1.3640874988174438,0.5121,1.31283944940567,0.531
13,1.3571320106887816,0.51374,1.265874310874939,0.5501
14,1.3592108781051635,0.51512,1.346185697746277,0.5302
15,1.3577870546340942,0.51416,1.2771299747467042,0.5569
16,1.3403621031570434,0.51896,1.2562333318710328,0.55
17,1.3543927292633056,0.51506,1.2568754550933838,0.5515
18,1.3482802200698853,0.51838,1.282126469898224,0.5486
19,1.3436878190994264,0.51798,1.251200986480713,0.548
20,1.3356118139648439,0.52016,1.2636010625839234,0.5477
1 epoch train_loss train_acc test_loss test_acc
2 1 1.7632377227020264 0.35308 1.5758346817016602 0.4299
3 2 1.524346548271179 0.4486 1.4102591985702515 0.4979
4 3 1.456631953201294 0.47108 1.3265910715103149 0.5188
5 4 1.4304079055023193 0.48082 1.377274009513855 0.5
6 5 1.4108501930999755 0.49066 1.4178906629562378 0.5087
7 6 1.4031479808807372 0.4983 1.309526050758362 0.5271
8 7 1.383127350769043 0.50128 1.3740155362129212 0.5123
9 8 1.3820967692565918 0.50244 1.2505300882339478 0.5529
10 9 1.3669423685073852 0.51028 1.311721753692627 0.5251
11 10 1.3696778673553467 0.5087 1.3234023988723755 0.5277
12 11 1.3733588944244384 0.50774 1.2789020259857178 0.5407
13 12 1.3640874988174438 0.5121 1.31283944940567 0.531
14 13 1.3571320106887816 0.51374 1.265874310874939 0.5501
15 14 1.3592108781051635 0.51512 1.346185697746277 0.5302
16 15 1.3577870546340942 0.51416 1.2771299747467042 0.5569
17 16 1.3403621031570434 0.51896 1.2562333318710328 0.55
18 17 1.3543927292633056 0.51506 1.2568754550933838 0.5515
19 18 1.3482802200698853 0.51838 1.282126469898224 0.5486
20 19 1.3436878190994264 0.51798 1.251200986480713 0.548
21 20 1.3356118139648439 0.52016 1.2636010625839234 0.5477
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9765228209686279,0.275,1.838960478782654,0.3317
2,1.7586317385482788,0.3564,1.5927722663879396,0.4192
3,1.7182956017303468,0.36878,1.6095290222167968,0.3962
4,1.6878443021011353,0.3778,1.5945830318450929,0.4209
5,1.6782778314971925,0.38232,1.4996938594818114,0.4596
6,1.6617775799560548,0.38782,1.5637247476577758,0.4273
7,1.6519146921920775,0.39274,1.4898227006912232,0.4477
8,1.6319190932846068,0.39776,1.4631493810653686,0.464
9,1.6271585168457032,0.39996,1.4658390745162964,0.4671
10,1.6192712731170655,0.40386,1.4798445970535279,0.4555
11,1.6236518589782716,0.4038,1.4518645431518555,0.4712
12,1.6256605269241333,0.39904,1.5097844490051269,0.4606
13,1.6252113864517213,0.4029,1.4985135524749755,0.4628
14,1.6405798107147216,0.40094,1.5247799369812012,0.4417
15,1.6137488632202148,0.40722,1.470830341720581,0.4691
16,1.6058656929779054,0.40896,1.4936083711624146,0.4535
17,1.609079775390625,0.4086,1.5095022733688355,0.4407
18,1.5937296617126464,0.41062,1.4561285724639892,0.4711
19,1.6145524578094483,0.40402,1.4767372095108031,0.4599
20,1.6014677686309815,0.4094,1.490078086090088,0.4439
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9765228209686279 0.275 1.838960478782654 0.3317
3 2 1.7586317385482788 0.3564 1.5927722663879396 0.4192
4 3 1.7182956017303468 0.36878 1.6095290222167968 0.3962
5 4 1.6878443021011353 0.3778 1.5945830318450929 0.4209
6 5 1.6782778314971925 0.38232 1.4996938594818114 0.4596
7 6 1.6617775799560548 0.38782 1.5637247476577758 0.4273
8 7 1.6519146921920775 0.39274 1.4898227006912232 0.4477
9 8 1.6319190932846068 0.39776 1.4631493810653686 0.464
10 9 1.6271585168457032 0.39996 1.4658390745162964 0.4671
11 10 1.6192712731170655 0.40386 1.4798445970535279 0.4555
12 11 1.6236518589782716 0.4038 1.4518645431518555 0.4712
13 12 1.6256605269241333 0.39904 1.5097844490051269 0.4606
14 13 1.6252113864517213 0.4029 1.4985135524749755 0.4628
15 14 1.6405798107147216 0.40094 1.5247799369812012 0.4417
16 15 1.6137488632202148 0.40722 1.470830341720581 0.4691
17 16 1.6058656929779054 0.40896 1.4936083711624146 0.4535
18 17 1.609079775390625 0.4086 1.5095022733688355 0.4407
19 18 1.5937296617126464 0.41062 1.4561285724639892 0.4711
20 19 1.6145524578094483 0.40402 1.4767372095108031 0.4599
21 20 1.6014677686309815 0.4094 1.490078086090088 0.4439
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9662294528198243,0.28166,1.646554655456543,0.4059
2,1.6907201608657836,0.38096,1.4890975648880005,0.4608
3,1.630640150680542,0.40234,1.461022783470154,0.4703
4,1.5946281551361083,0.41298,1.4765422527313232,0.4582
5,1.5847036001586914,0.41944,1.463464338684082,0.4656
6,1.5700461378860473,0.42448,1.4435549175262452,0.4742
7,1.5596910428237916,0.43166,1.4010505067825318,0.4815
8,1.5500616349411012,0.4339,1.4645743618011475,0.4736
9,1.5521124801254274,0.4347,1.3910032358169555,0.4965
10,1.540557314529419,0.43936,1.3937551671981812,0.4963
11,1.542716057395935,0.4397,1.3852252645492553,0.5065
12,1.5426535359954834,0.43796,1.3814128866195678,0.4952
13,1.5383161214828491,0.43854,1.3704833930969238,0.519
14,1.535815538673401,0.43938,1.3828128046035766,0.4922
15,1.5208821871185303,0.44786,1.336184846496582,0.5174
16,1.5207045543670654,0.44292,1.3120759601593017,0.5318
17,1.5427820779800414,0.44198,1.3777759956359863,0.5101
18,1.5282205264282227,0.44214,1.3206209297180176,0.5246
19,1.5153924929046632,0.45148,1.440579479789734,0.4926
20,1.5200670809936523,0.44844,1.35802781791687,0.5012
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9662294528198243 0.28166 1.646554655456543 0.4059
3 2 1.6907201608657836 0.38096 1.4890975648880005 0.4608
4 3 1.630640150680542 0.40234 1.461022783470154 0.4703
5 4 1.5946281551361083 0.41298 1.4765422527313232 0.4582
6 5 1.5847036001586914 0.41944 1.463464338684082 0.4656
7 6 1.5700461378860473 0.42448 1.4435549175262452 0.4742
8 7 1.5596910428237916 0.43166 1.4010505067825318 0.4815
9 8 1.5500616349411012 0.4339 1.4645743618011475 0.4736
10 9 1.5521124801254274 0.4347 1.3910032358169555 0.4965
11 10 1.540557314529419 0.43936 1.3937551671981812 0.4963
12 11 1.542716057395935 0.4397 1.3852252645492553 0.5065
13 12 1.5426535359954834 0.43796 1.3814128866195678 0.4952
14 13 1.5383161214828491 0.43854 1.3704833930969238 0.519
15 14 1.535815538673401 0.43938 1.3828128046035766 0.4922
16 15 1.5208821871185303 0.44786 1.336184846496582 0.5174
17 16 1.5207045543670654 0.44292 1.3120759601593017 0.5318
18 17 1.5427820779800414 0.44198 1.3777759956359863 0.5101
19 18 1.5282205264282227 0.44214 1.3206209297180176 0.5246
20 19 1.5153924929046632 0.45148 1.440579479789734 0.4926
21 20 1.5200670809936523 0.44844 1.35802781791687 0.5012
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9782473403930665,0.2757,1.7940137519836425,0.3604
2,1.7881652750396728,0.34256,1.6846075788497925,0.383
3,1.7298297366714477,0.36016,1.6570421657562255,0.3849
4,1.701125471496582,0.36964,1.6060110397338867,0.4051
5,1.6930271649169921,0.3764,1.5627256288528442,0.4322
6,1.6890782552337646,0.3793,1.5718454141616822,0.4155
7,1.6894171588134765,0.37854,1.5689407793045045,0.4244
8,1.6838004080963134,0.37988,1.547055793952942,0.4361
9,1.6820043857192992,0.38108,1.5525554042816163,0.4266
10,1.6630719311523436,0.38704,1.5440392353057861,0.4309
11,1.6606243139266967,0.38634,1.5547804042816162,0.4306
12,1.6556413611602783,0.39148,1.5340405586242676,0.4356
13,1.6465564861679076,0.39404,1.5331555698394776,0.4422
14,1.6496008929824828,0.39452,1.5326438642501832,0.4355
15,1.6501564659881591,0.39042,1.5048745851516723,0.4526
16,1.638251790008545,0.39798,1.5019797897338867,0.4489
17,1.6597554596710204,0.38882,1.5088586767196654,0.4484
18,1.6430353671264648,0.39304,1.6406061777114869,0.3994
19,1.6456201574325562,0.39314,1.516061517906189,0.4483
20,1.6409141896820068,0.39418,1.4997223611831665,0.4508
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9782473403930665 0.2757 1.7940137519836425 0.3604
3 2 1.7881652750396728 0.34256 1.6846075788497925 0.383
4 3 1.7298297366714477 0.36016 1.6570421657562255 0.3849
5 4 1.701125471496582 0.36964 1.6060110397338867 0.4051
6 5 1.6930271649169921 0.3764 1.5627256288528442 0.4322
7 6 1.6890782552337646 0.3793 1.5718454141616822 0.4155
8 7 1.6894171588134765 0.37854 1.5689407793045045 0.4244
9 8 1.6838004080963134 0.37988 1.547055793952942 0.4361
10 9 1.6820043857192992 0.38108 1.5525554042816163 0.4266
11 10 1.6630719311523436 0.38704 1.5440392353057861 0.4309
12 11 1.6606243139266967 0.38634 1.5547804042816162 0.4306
13 12 1.6556413611602783 0.39148 1.5340405586242676 0.4356
14 13 1.6465564861679076 0.39404 1.5331555698394776 0.4422
15 14 1.6496008929824828 0.39452 1.5326438642501832 0.4355
16 15 1.6501564659881591 0.39042 1.5048745851516723 0.4526
17 16 1.638251790008545 0.39798 1.5019797897338867 0.4489
18 17 1.6597554596710204 0.38882 1.5088586767196654 0.4484
19 18 1.6430353671264648 0.39304 1.6406061777114869 0.3994
20 19 1.6456201574325562 0.39314 1.516061517906189 0.4483
21 20 1.6409141896820068 0.39418 1.4997223611831665 0.4508
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.0717957442474364,0.23638,1.8070027614593507,0.3592
2,1.7711991034317016,0.35626,1.544959555053711,0.4336
3,1.6322058293914794,0.4069,1.4367220252990722,0.4826
4,1.5630220341491698,0.43416,1.37243994140625,0.5099
5,1.4982818214797973,0.45784,1.2836783926010131,0.5423
6,1.4538921988677977,0.47784,1.2316193922042846,0.5584
7,1.4066726916503907,0.4912,1.1759659088134766,0.5824
8,1.3719631880187988,0.51076,1.150549816131592,0.5948
9,1.3426129550933839,0.51988,1.1507357816696167,0.5881
10,1.3073690589904785,0.53344,1.0885456802368163,0.6235
11,1.2872175302124023,0.54074,1.0516377550125122,0.6285
12,1.266133660888672,0.54882,1.0233188526153565,0.6413
13,1.2529394985961915,0.55518,1.0078511615753174,0.6473
14,1.2264000122833252,0.56462,1.0189788675308227,0.6436
15,1.2245289393615724,0.56466,1.0103674605369568,0.6484
16,1.208251329650879,0.56842,0.9705223019599915,0.6642
17,1.1961261875534057,0.57536,1.0117724663734435,0.645
18,1.1778298877716065,0.58256,0.9588415849685669,0.6629
19,1.1742403998947144,0.58666,0.9755858589172364,0.657
20,1.165386855278015,0.58884,0.9380706154823303,0.6736
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0717957442474364 0.23638 1.8070027614593507 0.3592
3 2 1.7711991034317016 0.35626 1.544959555053711 0.4336
4 3 1.6322058293914794 0.4069 1.4367220252990722 0.4826
5 4 1.5630220341491698 0.43416 1.37243994140625 0.5099
6 5 1.4982818214797973 0.45784 1.2836783926010131 0.5423
7 6 1.4538921988677977 0.47784 1.2316193922042846 0.5584
8 7 1.4066726916503907 0.4912 1.1759659088134766 0.5824
9 8 1.3719631880187988 0.51076 1.150549816131592 0.5948
10 9 1.3426129550933839 0.51988 1.1507357816696167 0.5881
11 10 1.3073690589904785 0.53344 1.0885456802368163 0.6235
12 11 1.2872175302124023 0.54074 1.0516377550125122 0.6285
13 12 1.266133660888672 0.54882 1.0233188526153565 0.6413
14 13 1.2529394985961915 0.55518 1.0078511615753174 0.6473
15 14 1.2264000122833252 0.56462 1.0189788675308227 0.6436
16 15 1.2245289393615724 0.56466 1.0103674605369568 0.6484
17 16 1.208251329650879 0.56842 0.9705223019599915 0.6642
18 17 1.1961261875534057 0.57536 1.0117724663734435 0.645
19 18 1.1778298877716065 0.58256 0.9588415849685669 0.6629
20 19 1.1742403998947144 0.58666 0.9755858589172364 0.657
21 20 1.165386855278015 0.58884 0.9380706154823303 0.6736
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.053392539367676,0.2443,1.8277459175109863,0.3477
2,1.787647081413269,0.35238,1.5101178413391114,0.4583
3,1.646120939102173,0.40544,1.4628921775817871,0.4684
4,1.5713705833053588,0.43396,1.3796582710266114,0.5046
5,1.5172283823394774,0.45338,1.3074881475448608,0.5348
6,1.4627742120742797,0.47362,1.2615061752319336,0.5529
7,1.4181369704818725,0.49334,1.1881981817245484,0.5795
8,1.387547327079773,0.50268,1.1446026531219482,0.5967
9,1.3531704047775268,0.51462,1.1308457630157471,0.5977
10,1.328253187789917,0.52646,1.1201391205787659,0.6028
11,1.3050450761413575,0.53326,1.1036224122047424,0.6133
12,1.2839701457214356,0.54296,1.0483348583221435,0.6329
13,1.2662199767303466,0.55046,1.118672813987732,0.6011
14,1.249073985671997,0.5545,1.008135287475586,0.649
15,1.2334320105743408,0.56206,1.0220180696487426,0.6452
16,1.226570714187622,0.56562,1.0283479545593261,0.6381
17,1.215673310623169,0.56778,0.99635754737854,0.6482
18,1.2051158458709716,0.57448,0.968738715171814,0.6619
19,1.1853828730392455,0.57932,0.9603862438201904,0.6701
20,1.1799074561309815,0.5823,0.9873979913711548,0.6529
1 epoch train_loss train_acc test_loss test_acc
2 1 2.053392539367676 0.2443 1.8277459175109863 0.3477
3 2 1.787647081413269 0.35238 1.5101178413391114 0.4583
4 3 1.646120939102173 0.40544 1.4628921775817871 0.4684
5 4 1.5713705833053588 0.43396 1.3796582710266114 0.5046
6 5 1.5172283823394774 0.45338 1.3074881475448608 0.5348
7 6 1.4627742120742797 0.47362 1.2615061752319336 0.5529
8 7 1.4181369704818725 0.49334 1.1881981817245484 0.5795
9 8 1.387547327079773 0.50268 1.1446026531219482 0.5967
10 9 1.3531704047775268 0.51462 1.1308457630157471 0.5977
11 10 1.328253187789917 0.52646 1.1201391205787659 0.6028
12 11 1.3050450761413575 0.53326 1.1036224122047424 0.6133
13 12 1.2839701457214356 0.54296 1.0483348583221435 0.6329
14 13 1.2662199767303466 0.55046 1.118672813987732 0.6011
15 14 1.249073985671997 0.5545 1.008135287475586 0.649
16 15 1.2334320105743408 0.56206 1.0220180696487426 0.6452
17 16 1.226570714187622 0.56562 1.0283479545593261 0.6381
18 17 1.215673310623169 0.56778 0.99635754737854 0.6482
19 18 1.2051158458709716 0.57448 0.968738715171814 0.6619
20 19 1.1853828730392455 0.57932 0.9603862438201904 0.6701
21 20 1.1799074561309815 0.5823 0.9873979913711548 0.6529
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.0646032915878294,0.24374,1.7789719665527344,0.3856
2,1.7912192575454713,0.35524,1.4898719760894776,0.4649
3,1.6362936135864259,0.40798,1.4567605255126954,0.4622
4,1.5608094699859618,0.4355,1.400784787940979,0.4828
5,1.5062945654678346,0.45454,1.3043995948791505,0.5366
6,1.461043725013733,0.47552,1.266900797843933,0.5395
7,1.4183598426818849,0.49158,1.2215706317901611,0.5608
8,1.3873241466522217,0.50428,1.1732126100540161,0.5799
9,1.3462454842758178,0.51896,1.1159016653060914,0.6037
10,1.318895576210022,0.53132,1.0962340599060059,0.6135
11,1.2963881420516967,0.53832,1.1005984948158265,0.6157
12,1.2797832188796998,0.54426,1.0569532452583312,0.6221
13,1.2446794859695434,0.55496,1.0522931388854981,0.6303
14,1.2455195839691162,0.55828,1.0057928833007812,0.6474
15,1.2228796381378173,0.56634,0.9707541692733764,0.6583
16,1.2148502236175538,0.57112,0.9822790630340577,0.6548
17,1.1953229378509522,0.5769,0.992683217716217,0.6514
18,1.1797297177124024,0.5802,0.985902705192566,0.6521
19,1.1690457083892822,0.58446,0.951106063079834,0.6624
20,1.1595652348136902,0.59014,0.9662161799430847,0.6623
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0646032915878294 0.24374 1.7789719665527344 0.3856
3 2 1.7912192575454713 0.35524 1.4898719760894776 0.4649
4 3 1.6362936135864259 0.40798 1.4567605255126954 0.4622
5 4 1.5608094699859618 0.4355 1.400784787940979 0.4828
6 5 1.5062945654678346 0.45454 1.3043995948791505 0.5366
7 6 1.461043725013733 0.47552 1.266900797843933 0.5395
8 7 1.4183598426818849 0.49158 1.2215706317901611 0.5608
9 8 1.3873241466522217 0.50428 1.1732126100540161 0.5799
10 9 1.3462454842758178 0.51896 1.1159016653060914 0.6037
11 10 1.318895576210022 0.53132 1.0962340599060059 0.6135
12 11 1.2963881420516967 0.53832 1.1005984948158265 0.6157
13 12 1.2797832188796998 0.54426 1.0569532452583312 0.6221
14 13 1.2446794859695434 0.55496 1.0522931388854981 0.6303
15 14 1.2455195839691162 0.55828 1.0057928833007812 0.6474
16 15 1.2228796381378173 0.56634 0.9707541692733764 0.6583
17 16 1.2148502236175538 0.57112 0.9822790630340577 0.6548
18 17 1.1953229378509522 0.5769 0.992683217716217 0.6514
19 18 1.1797297177124024 0.5802 0.985902705192566 0.6521
20 19 1.1690457083892822 0.58446 0.951106063079834 0.6624
21 20 1.1595652348136902 0.59014 0.9662161799430847 0.6623
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9311371482086181,0.2982,1.5920978937149048,0.4331
2,1.509078656387329,0.46018,1.3684404134750365,0.506
3,1.3346781539916992,0.5203,1.2729134735107421,0.5345
4,1.2469274048614503,0.55542,1.158725128364563,0.5855
5,1.1582400985717773,0.58732,1.1014516458511352,0.6146
6,1.0868776248168945,0.61344,1.043407428741455,0.6336
7,1.0187307173347473,0.64048,0.9962607810974121,0.6517
8,0.9732129728698731,0.6563,1.009974559020996,0.647
9,0.9221462124443054,0.6754,0.9498543729782104,0.6732
10,0.8899050890731811,0.68548,0.9263308381080627,0.6785
11,0.8531640504837036,0.69946,0.9110899273872376,0.6832
12,0.8089004195022583,0.71542,0.9073972569465637,0.6861
13,0.7807940144729614,0.7241,0.9209298092842102,0.6775
14,0.7538955571365357,0.73478,0.9007615678787232,0.6845
15,0.7263440827560425,0.74322,0.8737788515090943,0.6986
16,0.6967498389816285,0.7529,0.892071831035614,0.693
17,0.6709872028255462,0.76386,0.925509871673584,0.6845
18,0.6451754664993287,0.77236,0.880049273109436,0.7039
19,0.6094434031295777,0.78594,0.8825184429168701,0.7033
20,0.5978780786895752,0.78682,0.9097155986785889,0.7018
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9311371482086181 0.2982 1.5920978937149048 0.4331
3 2 1.509078656387329 0.46018 1.3684404134750365 0.506
4 3 1.3346781539916992 0.5203 1.2729134735107421 0.5345
5 4 1.2469274048614503 0.55542 1.158725128364563 0.5855
6 5 1.1582400985717773 0.58732 1.1014516458511352 0.6146
7 6 1.0868776248168945 0.61344 1.043407428741455 0.6336
8 7 1.0187307173347473 0.64048 0.9962607810974121 0.6517
9 8 0.9732129728698731 0.6563 1.009974559020996 0.647
10 9 0.9221462124443054 0.6754 0.9498543729782104 0.6732
11 10 0.8899050890731811 0.68548 0.9263308381080627 0.6785
12 11 0.8531640504837036 0.69946 0.9110899273872376 0.6832
13 12 0.8089004195022583 0.71542 0.9073972569465637 0.6861
14 13 0.7807940144729614 0.7241 0.9209298092842102 0.6775
15 14 0.7538955571365357 0.73478 0.9007615678787232 0.6845
16 15 0.7263440827560425 0.74322 0.8737788515090943 0.6986
17 16 0.6967498389816285 0.7529 0.892071831035614 0.693
18 17 0.6709872028255462 0.76386 0.925509871673584 0.6845
19 18 0.6451754664993287 0.77236 0.880049273109436 0.7039
20 19 0.6094434031295777 0.78594 0.8825184429168701 0.7033
21 20 0.5978780786895752 0.78682 0.9097155986785889 0.7018
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.004312101173401,0.2652,1.7232767820358277,0.3901
2,1.5482629161834718,0.44188,1.3712095808029174,0.5058
3,1.3661574739074707,0.51074,1.2661858087539672,0.5433
4,1.2579275118255615,0.55174,1.1585919318199158,0.5871
5,1.164323837776184,0.58694,1.1396800863265992,0.6003
6,1.092229642868042,0.61386,1.0896189386367798,0.6099
7,1.0241320381164551,0.63798,0.9922213355064392,0.6553
8,0.9711285202407837,0.65922,0.9600511573791504,0.662
9,0.9307016561889648,0.67076,0.9466310350418091,0.6742
10,0.8810099458122254,0.68936,0.9367870839118958,0.675
11,0.8454511882400513,0.70294,0.9090298080444336,0.6799
12,0.8024745466995239,0.71828,0.8979659676551819,0.6893
13,0.7719563391876221,0.72812,0.8994972805976867,0.688
14,0.7395517325782776,0.74026,0.8924659374237061,0.687
15,0.7045410289382935,0.7509,0.917015513420105,0.6827
16,0.6758938273620605,0.76374,0.8863575847625732,0.6987
17,0.6473090003585815,0.77248,0.8756544432640075,0.7049
18,0.6271680759048462,0.77752,0.897514891242981,0.6964
19,0.597278731880188,0.7895,0.8914299827575684,0.6974
20,0.5726878065681458,0.79906,0.8957463808059692,0.7017
1 epoch train_loss train_acc test_loss test_acc
2 1 2.004312101173401 0.2652 1.7232767820358277 0.3901
3 2 1.5482629161834718 0.44188 1.3712095808029174 0.5058
4 3 1.3661574739074707 0.51074 1.2661858087539672 0.5433
5 4 1.2579275118255615 0.55174 1.1585919318199158 0.5871
6 5 1.164323837776184 0.58694 1.1396800863265992 0.6003
7 6 1.092229642868042 0.61386 1.0896189386367798 0.6099
8 7 1.0241320381164551 0.63798 0.9922213355064392 0.6553
9 8 0.9711285202407837 0.65922 0.9600511573791504 0.662
10 9 0.9307016561889648 0.67076 0.9466310350418091 0.6742
11 10 0.8810099458122254 0.68936 0.9367870839118958 0.675
12 11 0.8454511882400513 0.70294 0.9090298080444336 0.6799
13 12 0.8024745466995239 0.71828 0.8979659676551819 0.6893
14 13 0.7719563391876221 0.72812 0.8994972805976867 0.688
15 14 0.7395517325782776 0.74026 0.8924659374237061 0.687
16 15 0.7045410289382935 0.7509 0.917015513420105 0.6827
17 16 0.6758938273620605 0.76374 0.8863575847625732 0.6987
18 17 0.6473090003585815 0.77248 0.8756544432640075 0.7049
19 18 0.6271680759048462 0.77752 0.897514891242981 0.6964
20 19 0.597278731880188 0.7895 0.8914299827575684 0.6974
21 20 0.5726878065681458 0.79906 0.8957463808059692 0.7017
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,1.9648466619873046,0.28228,1.6398368045806884,0.4082
2,1.5440472770690918,0.44262,1.393077986907959,0.4967
3,1.3840823981094361,0.50308,1.263754221534729,0.5481
4,1.2707756679534912,0.54684,1.2010628286361695,0.5698
5,1.1830180548477174,0.57878,1.1136125858306885,0.6024
6,1.0973178535079957,0.61194,1.0529953979492188,0.6247
7,1.0351464793014526,0.63214,1.0379781282424927,0.6337
8,0.9851882269287109,0.65194,0.9881413891792298,0.6516
9,0.9321160899734497,0.66992,0.9766159063339234,0.6519
10,0.8936848720169067,0.68802,0.9404750473022461,0.6659
11,0.8555344334411621,0.69752,0.9300194321632386,0.6739
12,0.8127794537353515,0.71468,0.9445248321533203,0.6714
13,0.7774085792922973,0.72442,0.9079333065032958,0.6844
14,0.7445920983695984,0.73784,0.9506904909133911,0.6712
15,0.7130360057258606,0.75044,0.8811728349685669,0.6967
16,0.6768621940994263,0.76162,0.8943761650085449,0.691
17,0.6570009999847413,0.76814,0.9109026754379272,0.6931
18,0.6386432394218445,0.77624,0.8959919429779053,0.7021
19,0.6080109805679321,0.78532,0.9124002801895141,0.6982
20,0.5840396033859253,0.79492,0.9637748687744141,0.6778
1 epoch train_loss train_acc test_loss test_acc
2 1 1.9648466619873046 0.28228 1.6398368045806884 0.4082
3 2 1.5440472770690918 0.44262 1.393077986907959 0.4967
4 3 1.3840823981094361 0.50308 1.263754221534729 0.5481
5 4 1.2707756679534912 0.54684 1.2010628286361695 0.5698
6 5 1.1830180548477174 0.57878 1.1136125858306885 0.6024
7 6 1.0973178535079957 0.61194 1.0529953979492188 0.6247
8 7 1.0351464793014526 0.63214 1.0379781282424927 0.6337
9 8 0.9851882269287109 0.65194 0.9881413891792298 0.6516
10 9 0.9321160899734497 0.66992 0.9766159063339234 0.6519
11 10 0.8936848720169067 0.68802 0.9404750473022461 0.6659
12 11 0.8555344334411621 0.69752 0.9300194321632386 0.6739
13 12 0.8127794537353515 0.71468 0.9445248321533203 0.6714
14 13 0.7774085792922973 0.72442 0.9079333065032958 0.6844
15 14 0.7445920983695984 0.73784 0.9506904909133911 0.6712
16 15 0.7130360057258606 0.75044 0.8811728349685669 0.6967
17 16 0.6768621940994263 0.76162 0.8943761650085449 0.691
18 17 0.6570009999847413 0.76814 0.9109026754379272 0.6931
19 18 0.6386432394218445 0.77624 0.8959919429779053 0.7021
20 19 0.6080109805679321 0.78532 0.9124002801895141 0.6982
21 20 0.5840396033859253 0.79492 0.9637748687744141 0.6778
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.0550885951995848,0.2467,1.7640317403793335,0.3644
2,1.7425042122650147,0.36956,1.5332227375030518,0.4334
3,1.555955955848694,0.43286,1.380984833908081,0.5017
4,1.4620817391204834,0.46802,1.297961190509796,0.538
5,1.3934137030792237,0.49522,1.198084861946106,0.5701
6,1.329382759361267,0.5213,1.1716940355300904,0.5866
7,1.2766435260009765,0.54206,1.0953855429649353,0.6181
8,1.2315738436126709,0.55692,1.0728544158935547,0.6213
9,1.2073827326965332,0.56722,1.0609665860176087,0.6211
10,1.1776278511810303,0.57848,1.0275169611930848,0.633
11,1.1487520777130127,0.59018,0.9839586427688599,0.6505
12,1.1335893363189697,0.59792,0.9638538955688477,0.6629
13,1.1190336322402954,0.59944,0.9677156891822815,0.6655
14,1.094583490257263,0.61246,0.9283652758598328,0.6774
15,1.084797211303711,0.61338,0.9156901554107666,0.6762
16,1.0731646694946289,0.61824,0.911062100315094,0.6788
17,1.0665611047554016,0.62164,0.9009365707397461,0.6879
18,1.0515223734283448,0.62704,0.9012013221740722,0.6872
19,1.0465966410827636,0.6275,0.9001763169288636,0.6877
20,1.0255706683731078,0.63722,0.862306897354126,0.6987
1 epoch train_loss train_acc test_loss test_acc
2 1 2.0550885951995848 0.2467 1.7640317403793335 0.3644
3 2 1.7425042122650147 0.36956 1.5332227375030518 0.4334
4 3 1.555955955848694 0.43286 1.380984833908081 0.5017
5 4 1.4620817391204834 0.46802 1.297961190509796 0.538
6 5 1.3934137030792237 0.49522 1.198084861946106 0.5701
7 6 1.329382759361267 0.5213 1.1716940355300904 0.5866
8 7 1.2766435260009765 0.54206 1.0953855429649353 0.6181
9 8 1.2315738436126709 0.55692 1.0728544158935547 0.6213
10 9 1.2073827326965332 0.56722 1.0609665860176087 0.6211
11 10 1.1776278511810303 0.57848 1.0275169611930848 0.633
12 11 1.1487520777130127 0.59018 0.9839586427688599 0.6505
13 12 1.1335893363189697 0.59792 0.9638538955688477 0.6629
14 13 1.1190336322402954 0.59944 0.9677156891822815 0.6655
15 14 1.094583490257263 0.61246 0.9283652758598328 0.6774
16 15 1.084797211303711 0.61338 0.9156901554107666 0.6762
17 16 1.0731646694946289 0.61824 0.911062100315094 0.6788
18 17 1.0665611047554016 0.62164 0.9009365707397461 0.6879
19 18 1.0515223734283448 0.62704 0.9012013221740722 0.6872
20 19 1.0465966410827636 0.6275 0.9001763169288636 0.6877
21 20 1.0255706683731078 0.63722 0.862306897354126 0.6987
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.017535278091431,0.26278,1.6795637042999267,0.3998
2,1.6903974377059936,0.38804,1.4434795204162598,0.474
3,1.5346185763931275,0.44274,1.36727356300354,0.5145
4,1.4617975156402587,0.46894,1.2737480709075928,0.5426
5,1.3889456367492676,0.4969,1.2169358665466308,0.5703
6,1.3288960292434693,0.52194,1.1306485939025879,0.6004
7,1.2709935831451415,0.5442,1.0904423005104065,0.6111
8,1.228000947227478,0.56192,1.0558609092712403,0.627
9,1.1939466933059693,0.57354,1.0516909730911255,0.6264
10,1.1654139777755737,0.5873,0.9876455611228943,0.6489
11,1.1431168384933472,0.5929,0.9878189376831055,0.644
12,1.1232611434936524,0.60072,0.9371956800460816,0.6712
13,1.1012448973274231,0.60876,0.9292478965759278,0.6751
14,1.0849506562423705,0.61526,0.9188048232078552,0.6806
15,1.06521858171463,0.6227,0.914396158695221,0.6784
16,1.0540395666885376,0.6272,0.8965913438796997,0.6883
17,1.040338694896698,0.63254,0.9149609729766846,0.6792
18,1.0297105773735047,0.63586,0.8735279068946838,0.6907
19,1.015626749534607,0.64372,0.8664175868988037,0.6983
20,1.0131161414909362,0.64066,0.850979465007782,0.6983
1 epoch train_loss train_acc test_loss test_acc
2 1 2.017535278091431 0.26278 1.6795637042999267 0.3998
3 2 1.6903974377059936 0.38804 1.4434795204162598 0.474
4 3 1.5346185763931275 0.44274 1.36727356300354 0.5145
5 4 1.4617975156402587 0.46894 1.2737480709075928 0.5426
6 5 1.3889456367492676 0.4969 1.2169358665466308 0.5703
7 6 1.3288960292434693 0.52194 1.1306485939025879 0.6004
8 7 1.2709935831451415 0.5442 1.0904423005104065 0.6111
9 8 1.228000947227478 0.56192 1.0558609092712403 0.627
10 9 1.1939466933059693 0.57354 1.0516909730911255 0.6264
11 10 1.1654139777755737 0.5873 0.9876455611228943 0.6489
12 11 1.1431168384933472 0.5929 0.9878189376831055 0.644
13 12 1.1232611434936524 0.60072 0.9371956800460816 0.6712
14 13 1.1012448973274231 0.60876 0.9292478965759278 0.6751
15 14 1.0849506562423705 0.61526 0.9188048232078552 0.6806
16 15 1.06521858171463 0.6227 0.914396158695221 0.6784
17 16 1.0540395666885376 0.6272 0.8965913438796997 0.6883
18 17 1.040338694896698 0.63254 0.9149609729766846 0.6792
19 18 1.0297105773735047 0.63586 0.8735279068946838 0.6907
20 19 1.015626749534607 0.64372 0.8664175868988037 0.6983
21 20 1.0131161414909362 0.64066 0.850979465007782 0.6983
@@ -0,0 +1,21 @@
epoch,train_loss,train_acc,test_loss,test_acc
1,2.040701542739868,0.24942,1.7548002931594848,0.3775
2,1.6937445477676392,0.3859,1.5174737565994263,0.4468
3,1.5486173374176024,0.43744,1.4181810174942016,0.4884
4,1.4722703090286255,0.46892,1.3536616600036622,0.5155
5,1.4086143017578125,0.49256,1.2277663545608521,0.5603
6,1.3517387983322144,0.5127,1.245518007850647,0.5646
7,1.3047347919082641,0.52996,1.1440864992141724,0.5974
8,1.2650044574356079,0.54544,1.0812738724708557,0.6163
9,1.221998965034485,0.56412,1.0611048071861267,0.6208
10,1.1992827208709718,0.57162,1.02209319190979,0.6378
11,1.1627163088226318,0.58332,0.9875484481811524,0.6552
12,1.143350224761963,0.59006,0.9906831841468811,0.65
13,1.1313561878585816,0.59856,0.9684320789337159,0.6619
14,1.1073162591934205,0.60544,0.956348852443695,0.6635
15,1.0957912900161744,0.61112,0.9253881983757019,0.6747
16,1.0843125787353516,0.61314,0.9387169095993042,0.6678
17,1.0638633008003235,0.6221,0.9209315038681031,0.6751
18,1.044793717918396,0.63046,0.9019776906967163,0.6828
19,1.0394491952133178,0.63022,0.9281384669303894,0.6652
20,1.0273043719291688,0.63526,0.865586933708191,0.6961
1 epoch train_loss train_acc test_loss test_acc
2 1 2.040701542739868 0.24942 1.7548002931594848 0.3775
3 2 1.6937445477676392 0.3859 1.5174737565994263 0.4468
4 3 1.5486173374176024 0.43744 1.4181810174942016 0.4884
5 4 1.4722703090286255 0.46892 1.3536616600036622 0.5155
6 5 1.4086143017578125 0.49256 1.2277663545608521 0.5603
7 6 1.3517387983322144 0.5127 1.245518007850647 0.5646
8 7 1.3047347919082641 0.52996 1.1440864992141724 0.5974
9 8 1.2650044574356079 0.54544 1.0812738724708557 0.6163
10 9 1.221998965034485 0.56412 1.0611048071861267 0.6208
11 10 1.1992827208709718 0.57162 1.02209319190979 0.6378
12 11 1.1627163088226318 0.58332 0.9875484481811524 0.6552
13 12 1.143350224761963 0.59006 0.9906831841468811 0.65
14 13 1.1313561878585816 0.59856 0.9684320789337159 0.6619
15 14 1.1073162591934205 0.60544 0.956348852443695 0.6635
16 15 1.0957912900161744 0.61112 0.9253881983757019 0.6747
17 16 1.0843125787353516 0.61314 0.9387169095993042 0.6678
18 17 1.0638633008003235 0.6221 0.9209315038681031 0.6751
19 18 1.044793717918396 0.63046 0.9019776906967163 0.6828
20 19 1.0394491952133178 0.63022 0.9281384669303894 0.6652
21 20 1.0273043719291688 0.63526 0.865586933708191 0.6961