Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.571556329727173
Intra Cos: 0.015340002253651619
Inter Cos: 0.00368381361477077
Norm Quadratic Average: 3.9849932193756104
Nearest Class Center Accuracy: 0.441

Layer 1: ReLU()
Intra Cos: 0.0157385915517807
Inter Cos: 0.004942927975207567
Norm Quadratic Average: 3.5554587841033936
Nearest Class Center Accuracy: 0.429

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.9180775880813599
Intra Cos: 0.013982384465634823
Inter Cos: 0.007129555568099022
Norm Quadratic Average: 1.3698590993881226
Nearest Class Center Accuracy: 0.48475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5342190265655518
Intra Cos: 0.011628123931586742
Inter Cos: 0.003223705803975463
Norm Quadratic Average: 1.9158378839492798
Nearest Class Center Accuracy: 0.495

Layer 4: ReLU()
Intra Cos: 0.0466579794883728
Inter Cos: 0.01009275671094656
Norm Quadratic Average: 0.5938702821731567
Nearest Class Center Accuracy: 0.5365

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.9837347865104675
Intra Cos: 0.08503998070955276
Inter Cos: -0.0057807364501059055
Norm Quadratic Average: 0.19127176702022552
Nearest Class Center Accuracy: 0.73375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2532944679260254
Intra Cos: 0.09409818053245544
Inter Cos: -0.0028313305228948593
Norm Quadratic Average: 0.9811338782310486
Nearest Class Center Accuracy: 0.89925

Layer 7: ReLU()
Intra Cos: 0.5313469767570496
Inter Cos: 0.08752809464931488
Norm Quadratic Average: 0.2626420259475708
Nearest Class Center Accuracy: 0.989

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5610785484313965
Intra Cos: 0.6387272477149963
Inter Cos: 0.060081593692302704
Norm Quadratic Average: 0.1506657898426056
Nearest Class Center Accuracy: 0.988

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6590372323989868
Intra Cos: 0.5766393542289734
Inter Cos: 0.03998379409313202
Norm Quadratic Average: 0.5452489256858826
Nearest Class Center Accuracy: 0.99

Layer 10: ReLU()
Intra Cos: 0.8743042945861816
Inter Cos: 0.21718329191207886
Norm Quadratic Average: 0.1862814724445343
Nearest Class Center Accuracy: 0.995

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.25795650482177734
Intra Cos: 0.9259270429611206
Inter Cos: 0.08381837606430054
Norm Quadratic Average: 0.11919186264276505
Nearest Class Center Accuracy: 0.99725

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.35545825958251953
Intra Cos: 0.9387882351875305
Inter Cos: 0.3993499279022217
Norm Quadratic Average: 0.25350335240364075
Nearest Class Center Accuracy: 0.9945

Layer 13: ReLU()
Intra Cos: 0.9573990106582642
Inter Cos: 0.6408243775367737
Norm Quadratic Average: 0.062162093818187714
Nearest Class Center Accuracy: 0.99575

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.24864661693572998
Intra Cos: 0.9527627229690552
Inter Cos: 0.6487119793891907
Norm Quadratic Average: 0.05939576029777527
Nearest Class Center Accuracy: 0.99625

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3182714283466339
Intra Cos: 0.9506526589393616
Inter Cos: 0.5906499624252319
Norm Quadratic Average: 0.23635199666023254
Nearest Class Center Accuracy: 0.99525

Layer 16: ReLU()
Intra Cos: 0.9724091291427612
Inter Cos: 0.8059229254722595
Norm Quadratic Average: 0.05681997537612915
Nearest Class Center Accuracy: 0.9935

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.1379467248916626
Intra Cos: 0.9490817189216614
Inter Cos: 0.7138843536376953
Norm Quadratic Average: 0.04480590298771858
Nearest Class Center Accuracy: 0.9975

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.25785860419273376
Intra Cos: 0.948308527469635
Inter Cos: 0.6674248576164246
Norm Quadratic Average: 0.12470578402280807
Nearest Class Center Accuracy: 0.9975

Layer 19: ReLU()
Intra Cos: 0.9619604349136353
Inter Cos: 0.6532610654830933
Norm Quadratic Average: 0.020454570651054382
Nearest Class Center Accuracy: 0.997

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.16175666451454163
Intra Cos: 0.9614254832267761
Inter Cos: 0.6580711007118225
Norm Quadratic Average: 0.020306380465626717
Nearest Class Center Accuracy: 0.997

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.27305731177330017
Intra Cos: 0.961891233921051
Inter Cos: 0.635357141494751
Norm Quadratic Average: 0.13119441270828247
Nearest Class Center Accuracy: 0.997

Layer 22: ReLU()
Intra Cos: 0.9598948955535889
Inter Cos: 0.662742018699646
Norm Quadratic Average: 0.024594031274318695
Nearest Class Center Accuracy: 0.99725

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.17291130125522614
Intra Cos: 0.9562284350395203
Inter Cos: 0.6226186156272888
Norm Quadratic Average: 0.023120496422052383
Nearest Class Center Accuracy: 0.997

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.27401190996170044
Intra Cos: 0.9551793932914734
Inter Cos: 0.5919506549835205
Norm Quadratic Average: 0.1426289826631546
Nearest Class Center Accuracy: 0.997

Layer 25: ReLU()
Intra Cos: 0.9541253447532654
Inter Cos: 0.5654116868972778
Norm Quadratic Average: 0.026206787675619125
Nearest Class Center Accuracy: 0.997

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.18194875121116638
Intra Cos: 0.9519770741462708
Inter Cos: 0.5427113771438599
Norm Quadratic Average: 0.02548718824982643
Nearest Class Center Accuracy: 0.997

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.30244210362434387
Intra Cos: 0.9494399428367615
Inter Cos: 0.5494382381439209
Norm Quadratic Average: 0.1576797366142273
Nearest Class Center Accuracy: 0.997

Layer 28: ReLU()
Intra Cos: 0.9341408014297485
Inter Cos: 0.42146480083465576
Norm Quadratic Average: 0.031012307852506638
Nearest Class Center Accuracy: 0.997

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.24354372918605804
Intra Cos: 0.9364596009254456
Inter Cos: 0.396245539188385
Norm Quadratic Average: 0.0299980565905571
Nearest Class Center Accuracy: 0.997

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3601367771625519
Intra Cos: 0.9513763189315796
Inter Cos: 0.3777932822704315
Norm Quadratic Average: 0.22352135181427002
Nearest Class Center Accuracy: 0.99725

Layer 31: ReLU()
Intra Cos: 0.9452254176139832
Inter Cos: 0.13346248865127563
Norm Quadratic Average: 0.05035468190908432
Nearest Class Center Accuracy: 0.996

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.31864750385284424
Intra Cos: 0.9458979368209839
Inter Cos: 0.01706404983997345
Norm Quadratic Average: 0.04578862339258194
Nearest Class Center Accuracy: 0.997

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.429701566696167
Intra Cos: 0.9419443607330322
Inter Cos: 0.0824398547410965
Norm Quadratic Average: 0.2877323031425476
Nearest Class Center Accuracy: 0.99675

Layer 34: ReLU()
Intra Cos: 0.9382027387619019
Inter Cos: 0.28820982575416565
Norm Quadratic Average: 0.0828237235546112
Nearest Class Center Accuracy: 0.9975

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.33274728059768677
Intra Cos: 0.9566335082054138
Inter Cos: 0.08888094872236252
Norm Quadratic Average: 0.0641109049320221
Nearest Class Center Accuracy: 0.998

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.45336446166038513
Intra Cos: 0.9662508368492126
Inter Cos: 0.08633921295404434
Norm Quadratic Average: 0.31743496656417847
Nearest Class Center Accuracy: 0.998

Layer 37: ReLU()
Intra Cos: 0.9839726090431213
Inter Cos: 0.05294375866651535
Norm Quadratic Average: 0.0934569463133812
Nearest Class Center Accuracy: 0.998

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5613458752632141
Intra Cos: 0.9882208108901978
Inter Cos: 0.08952322602272034
Norm Quadratic Average: 0.08368673920631409
Nearest Class Center Accuracy: 0.998

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6680696606636047
Intra Cos: 0.9878743290901184
Inter Cos: 0.08649109303951263
Norm Quadratic Average: 0.5296186208724976
Nearest Class Center Accuracy: 0.998

Layer 40: ReLU()
Intra Cos: 0.9904161691665649
Inter Cos: 0.10429781675338745
Norm Quadratic Average: 0.23602528870105743
Nearest Class Center Accuracy: 0.998

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.840259552001953
Intra Cos: 0.9880455732345581
Inter Cos: 0.07887522131204605
Norm Quadratic Average: 0.19788531959056854
Nearest Class Center Accuracy: 0.99775

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.844799041748047
Intra Cos: 0.9872110486030579
Inter Cos: 0.03759682923555374
Norm Quadratic Average: 2.768423080444336
Nearest Class Center Accuracy: 0.99775

Output Layer:
Intra Cos: 0.9880653619766235
Inter Cos: 0.06669065356254578
Norm Quadratic Average: 5.2836127281188965
Nearest Class Center Accuracy: 0.99775

Test Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.571556329727173
Intra Cos: 0.012989893555641174
Inter Cos: 0.007593181449919939
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: ReLU()
Intra Cos: 0.014405643567442894
Inter Cos: 0.008382897824048996
Norm Quadratic Average: 3.562554359436035
Nearest Class Center Accuracy: 0.451

Layer 2: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 1.9180775880813599
Intra Cos: 0.011956583708524704
Inter Cos: 0.010309494100511074
Norm Quadratic Average: 1.3788692951202393
Nearest Class Center Accuracy: 0.491

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5342190265655518
Intra Cos: 0.008901583030819893
Inter Cos: 0.006786000449210405
Norm Quadratic Average: 1.9355555772781372
Nearest Class Center Accuracy: 0.498

Layer 4: ReLU()
Intra Cos: 0.028178947046399117
Inter Cos: 0.01727542281150818
Norm Quadratic Average: 0.5984253883361816
Nearest Class Center Accuracy: 0.481

Layer 5: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.9837347865104675
Intra Cos: 0.016238516196608543
Inter Cos: 0.010594332590699196
Norm Quadratic Average: 0.18964500725269318
Nearest Class Center Accuracy: 0.482

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2532944679260254
Intra Cos: 0.015077069401741028
Inter Cos: 0.006615535821765661
Norm Quadratic Average: 0.9758930802345276
Nearest Class Center Accuracy: 0.533

Layer 7: ReLU()
Intra Cos: 0.04931774362921715
Inter Cos: 0.07096035033464432
Norm Quadratic Average: 0.25207051634788513
Nearest Class Center Accuracy: 0.501

Layer 8: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5610785484313965
Intra Cos: 0.07582880556583405
Inter Cos: 0.09290087968111038
Norm Quadratic Average: 0.14088448882102966
Nearest Class Center Accuracy: 0.495

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6590372323989868
Intra Cos: 0.06085402891039848
Inter Cos: 0.09164859354496002
Norm Quadratic Average: 0.5079588890075684
Nearest Class Center Accuracy: 0.505

Layer 10: ReLU()
Intra Cos: 0.06791487336158752
Inter Cos: 0.1800943911075592
Norm Quadratic Average: 0.16822493076324463
Nearest Class Center Accuracy: 0.499

Layer 11: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.25795650482177734
Intra Cos: 0.13193856179714203
Inter Cos: 0.07192684710025787
Norm Quadratic Average: 0.10558205097913742
Nearest Class Center Accuracy: 0.501

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.35545825958251953
Intra Cos: 0.1109006330370903
Inter Cos: 0.07929132878780365
Norm Quadratic Average: 0.22657446563243866
Nearest Class Center Accuracy: 0.496

Layer 13: ReLU()
Intra Cos: 0.1276969015598297
Inter Cos: 0.11887266486883163
Norm Quadratic Average: 0.055187102407217026
Nearest Class Center Accuracy: 0.493

Layer 14: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.24864661693572998
Intra Cos: 0.13735739886760712
Inter Cos: 0.11962983012199402
Norm Quadratic Average: 0.052786219865083694
Nearest Class Center Accuracy: 0.493

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3182714283466339
Intra Cos: 0.14646784961223602
Inter Cos: 0.10635241866111755
Norm Quadratic Average: 0.21076235175132751
Nearest Class Center Accuracy: 0.498

Layer 16: ReLU()
Intra Cos: 0.13403892517089844
Inter Cos: 0.1425178498029709
Norm Quadratic Average: 0.05042557045817375
Nearest Class Center Accuracy: 0.418

Layer 17: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.1379467248916626
Intra Cos: 0.11327969282865524
Inter Cos: 0.1444997489452362
Norm Quadratic Average: 0.040332358330488205
Nearest Class Center Accuracy: 0.481

Layer 18: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.25785860419273376
Intra Cos: 0.09862974286079407
Inter Cos: 0.16124148666858673
Norm Quadratic Average: 0.11359602212905884
Nearest Class Center Accuracy: 0.494

Layer 19: ReLU()
Intra Cos: 0.1003652885556221
Inter Cos: 0.16172750294208527
Norm Quadratic Average: 0.018477777019143105
Nearest Class Center Accuracy: 0.497

Layer 20: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.16175666451454163
Intra Cos: 0.09955906122922897
Inter Cos: 0.1623603254556656
Norm Quadratic Average: 0.018343554809689522
Nearest Class Center Accuracy: 0.491

Layer 21: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.27305731177330017
Intra Cos: 0.10212260484695435
Inter Cos: 0.1595633625984192
Norm Quadratic Average: 0.1185440942645073
Nearest Class Center Accuracy: 0.503

Layer 22: ReLU()
Intra Cos: 0.09790420532226562
Inter Cos: 0.16340450942516327
Norm Quadratic Average: 0.0222199484705925
Nearest Class Center Accuracy: 0.483

Layer 23: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.17291130125522614
Intra Cos: 0.10127269476652145
Inter Cos: 0.15684133768081665
Norm Quadratic Average: 0.020884115248918533
Nearest Class Center Accuracy: 0.501

Layer 24: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.27401190996170044
Intra Cos: 0.10412390530109406
Inter Cos: 0.15252554416656494
Norm Quadratic Average: 0.12883999943733215
Nearest Class Center Accuracy: 0.502

Layer 25: ReLU()
Intra Cos: 0.10646196454763412
Inter Cos: 0.14883160591125488
Norm Quadratic Average: 0.02367444895207882
Nearest Class Center Accuracy: 0.497

Layer 26: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.18194875121116638
Intra Cos: 0.10824249684810638
Inter Cos: 0.14526715874671936
Norm Quadratic Average: 0.023021792992949486
Nearest Class Center Accuracy: 0.501

Layer 27: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.30244210362434387
Intra Cos: 0.10708297044038773
Inter Cos: 0.14534004032611847
Norm Quadratic Average: 0.14238961040973663
Nearest Class Center Accuracy: 0.502

Layer 28: ReLU()
Intra Cos: 0.11652078479528427
Inter Cos: 0.12484291195869446
Norm Quadratic Average: 0.02798214554786682
Nearest Class Center Accuracy: 0.498

Layer 29: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.24354372918605804
Intra Cos: 0.11916426569223404
Inter Cos: 0.12340088188648224
Norm Quadratic Average: 0.027071796357631683
Nearest Class Center Accuracy: 0.499

Layer 30: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3601367771625519
Intra Cos: 0.12406105548143387
Inter Cos: 0.12452390044927597
Norm Quadratic Average: 0.20199191570281982
Nearest Class Center Accuracy: 0.494

Layer 31: ReLU()
Intra Cos: 0.14760427176952362
Inter Cos: 0.09416618943214417
Norm Quadratic Average: 0.04551660269498825
Nearest Class Center Accuracy: 0.497

Layer 32: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.31864750385284424
Intra Cos: 0.15414828062057495
Inter Cos: 0.07932735234498978
Norm Quadratic Average: 0.0412420891225338
Nearest Class Center Accuracy: 0.498

Layer 33: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.429701566696167
Intra Cos: 0.1439131647348404
Inter Cos: 0.06892133504152298
Norm Quadratic Average: 0.25915631651878357
Nearest Class Center Accuracy: 0.495

Layer 34: ReLU()
Intra Cos: 0.10930205136537552
Inter Cos: 0.08795501291751862
Norm Quadratic Average: 0.07441934943199158
Nearest Class Center Accuracy: 0.502

Layer 35: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.33274728059768677
Intra Cos: 0.1327466070652008
Inter Cos: 0.051363203674554825
Norm Quadratic Average: 0.05803395062685013
Nearest Class Center Accuracy: 0.497

Layer 36: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.45336446166038513
Intra Cos: 0.1274651437997818
Inter Cos: 0.055126726627349854
Norm Quadratic Average: 0.2879682779312134
Nearest Class Center Accuracy: 0.496

Layer 37: ReLU()
Intra Cos: 0.13363200426101685
Inter Cos: 0.053773488849401474
Norm Quadratic Average: 0.084476538002491
Nearest Class Center Accuracy: 0.495

Layer 38: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 0.5613458752632141
Intra Cos: 0.11655523627996445
Inter Cos: 0.07012685388326645
Norm Quadratic Average: 0.07639686018228531
Nearest Class Center Accuracy: 0.498

Layer 39: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6680696606636047
Intra Cos: 0.11304358392953873
Inter Cos: 0.071982242166996
Norm Quadratic Average: 0.48395511507987976
Nearest Class Center Accuracy: 0.499

Layer 40: ReLU()
Intra Cos: 0.11825855821371078
Inter Cos: 0.057998355478048325
Norm Quadratic Average: 0.21588443219661713
Nearest Class Center Accuracy: 0.502

Layer 41: BatchNorm1d(200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
Batch Normalization Weight Norm: 2.840259552001953
Intra Cos: 0.11452654749155045
Inter Cos: 0.05344405025243759
Norm Quadratic Average: 0.18258318305015564
Nearest Class Center Accuracy: 0.5

Layer 42: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.844799041748047
Intra Cos: 0.1127714216709137
Inter Cos: 0.05470660701394081
Norm Quadratic Average: 2.5520098209381104
Nearest Class Center Accuracy: 0.499

Output Layer:
Intra Cos: 0.11551997065544128
Inter Cos: 0.05982070788741112
Norm Quadratic Average: 4.871025085449219
Nearest Class Center Accuracy: 0.499

