Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.001.pth.tar
Training Set:
Average Loss: 0.0016036036955192686
Accuracy: 1.0
NC1 Within Class Collapse: 0.0184769406914711
NC2 Equinorm: Features: 0.017848800867795944, Weights: 0.009332197718322277
NC2 Equiangle: Features: 0.011585558454195658, Weights: 0.009909162918726603
NC3 Self-Duality: 0.11084011942148209
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 9.31424331665039
Intra Cos: 0.03354979306459427
Inter Cos: -0.005712222773581743
Norm Quadratic Average: 4.000314712524414
Nearest Class Center Accuracy: 0.58025

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.87205982208252
Intra Cos: 0.037381306290626526
Inter Cos: -0.005290212109684944
Norm Quadratic Average: 4.241054534912109
Nearest Class Center Accuracy: 0.64575

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.21762466430664
Intra Cos: 0.050802819430828094
Inter Cos: -0.014262182638049126
Norm Quadratic Average: 3.9441745281219482
Nearest Class Center Accuracy: 0.78125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.434229373931885
Intra Cos: 0.09500996023416519
Inter Cos: -0.02928340621292591
Norm Quadratic Average: 3.373471260070801
Nearest Class Center Accuracy: 0.9285

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.00484037399292
Intra Cos: 0.20305755734443665
Inter Cos: -0.06966114789247513
Norm Quadratic Average: 2.8651070594787598
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.59525203704834
Intra Cos: 0.4255349636077881
Inter Cos: -0.1509820520877838
Norm Quadratic Average: 2.6194255352020264
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.932194471359253
Intra Cos: 0.6120144128799438
Inter Cos: -0.21397115290164948
Norm Quadratic Average: 2.4946866035461426
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.580226421356201
Intra Cos: 0.7619239091873169
Inter Cos: -0.17354920506477356
Norm Quadratic Average: 2.446354389190674
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4118740558624268
Intra Cos: 0.8999104499816895
Inter Cos: -0.13855497539043427
Norm Quadratic Average: 2.432025909423828
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3411364555358887
Intra Cos: 0.9590026140213013
Inter Cos: -0.14110706746578217
Norm Quadratic Average: 2.424931764602661
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.334294080734253
Intra Cos: 0.980614423751831
Inter Cos: -0.17208892107009888
Norm Quadratic Average: 2.4292643070220947
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3688673973083496
Intra Cos: 0.9884241819381714
Inter Cos: -0.20500847697257996
Norm Quadratic Average: 2.4278981685638428
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.454894781112671
Intra Cos: 0.9911378622055054
Inter Cos: -0.19997185468673706
Norm Quadratic Average: 2.425900936126709
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6973366737365723
Intra Cos: 0.9926623106002808
Inter Cos: -0.24301660060882568
Norm Quadratic Average: 2.4273996353149414
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.3714826107025146
Intra Cos: 0.9841394424438477
Inter Cos: -0.2285611778497696
Norm Quadratic Average: 3.6358120441436768
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9932658076286316
Inter Cos: -0.23509761691093445
Norm Quadratic Average: 6.656978607177734
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.4541185913085937
Accuracy: 0.713
NC1 Within Class Collapse: 3.6208791732788086
NC2 Equinorm: Features: 0.02579694613814354, Weights: 0.009332197718322277
NC2 Equiangle: Features: 0.06974261502424876, Weights: 0.009909162918726603
NC3 Self-Duality: 0.08385194092988968
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 9.31424331665039
Intra Cos: 0.03459429368376732
Inter Cos: -0.002618459751829505
Norm Quadratic Average: 3.9999916553497314
Nearest Class Center Accuracy: 0.577

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.87205982208252
Intra Cos: 0.03710572049021721
Inter Cos: -0.004288983531296253
Norm Quadratic Average: 4.261812210083008
Nearest Class Center Accuracy: 0.621

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.21762466430664
Intra Cos: 0.0419461652636528
Inter Cos: -0.006279070861637592
Norm Quadratic Average: 3.959796190261841
Nearest Class Center Accuracy: 0.673

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.434229373931885
Intra Cos: 0.05907386168837547
Inter Cos: -0.00951327383518219
Norm Quadratic Average: 3.324605703353882
Nearest Class Center Accuracy: 0.728

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.00484037399292
Intra Cos: 0.09575584530830383
Inter Cos: -0.015829596668481827
Norm Quadratic Average: 2.7056775093078613
Nearest Class Center Accuracy: 0.74

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.59525203704834
Intra Cos: 0.18514904379844666
Inter Cos: -0.028185920789837837
Norm Quadratic Average: 2.312145709991455
Nearest Class Center Accuracy: 0.725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.932194471359253
Intra Cos: 0.23803015053272247
Inter Cos: -0.05869735777378082
Norm Quadratic Average: 2.100113868713379
Nearest Class Center Accuracy: 0.717

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.580226421356201
Intra Cos: 0.2692452371120453
Inter Cos: -0.05683877319097519
Norm Quadratic Average: 2.0530643463134766
Nearest Class Center Accuracy: 0.714

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.4118740558624268
Intra Cos: 0.2979016900062561
Inter Cos: -0.04607342928647995
Norm Quadratic Average: 2.0768191814422607
Nearest Class Center Accuracy: 0.713

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3411364555358887
Intra Cos: 0.313568115234375
Inter Cos: -0.04842035472393036
Norm Quadratic Average: 2.1021101474761963
Nearest Class Center Accuracy: 0.711

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.334294080734253
Intra Cos: 0.33178457617759705
Inter Cos: -0.0621839202940464
Norm Quadratic Average: 2.1333916187286377
Nearest Class Center Accuracy: 0.713

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.3688673973083496
Intra Cos: 0.3475891947746277
Inter Cos: -0.09099498391151428
Norm Quadratic Average: 2.1538279056549072
Nearest Class Center Accuracy: 0.715

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.454894781112671
Intra Cos: 0.36496058106422424
Inter Cos: -0.08329800516366959
Norm Quadratic Average: 2.1684465408325195
Nearest Class Center Accuracy: 0.716

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.6973366737365723
Intra Cos: 0.3618633449077606
Inter Cos: -0.09818598628044128
Norm Quadratic Average: 2.192248582839966
Nearest Class Center Accuracy: 0.718

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.3714826107025146
Intra Cos: 0.3609136641025543
Inter Cos: -0.08907416462898254
Norm Quadratic Average: 3.394763708114624
Nearest Class Center Accuracy: 0.713

Output Layer:
Intra Cos: 0.40085455775260925
Inter Cos: -0.0919678807258606
Norm Quadratic Average: 6.032177448272705
Nearest Class Center Accuracy: 0.714

