Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_W20_model_depth_MLP_12_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.74660587310791
Intra Cos: 0.01772155798971653
Inter Cos: 0.0038716476410627365
Norm Quadratic Average: 3.9856886863708496
Nearest Class Center Accuracy: 0.467125

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.499543190002441
Intra Cos: 0.01622772589325905
Inter Cos: 0.0020808393601328135
Norm Quadratic Average: 3.994755983352661
Nearest Class Center Accuracy: 0.521125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.160855293273926
Intra Cos: 0.019731538370251656
Inter Cos: -0.000696543138474226
Norm Quadratic Average: 3.8212406635284424
Nearest Class Center Accuracy: 0.6395

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.496367931365967
Intra Cos: 0.04667256772518158
Inter Cos: -0.006847690790891647
Norm Quadratic Average: 3.110461950302124
Nearest Class Center Accuracy: 0.8845

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.7371416091918945
Intra Cos: 0.17822138965129852
Inter Cos: -0.042208291590213776
Norm Quadratic Average: 2.2122607231140137
Nearest Class Center Accuracy: 0.996

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8913092613220215
Intra Cos: 0.6747995018959045
Inter Cos: -0.17138612270355225
Norm Quadratic Average: 1.2815757989883423
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3090051412582397
Intra Cos: 0.9683765769004822
Inter Cos: -0.23605553805828094
Norm Quadratic Average: 0.5863309502601624
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3341894149780273
Intra Cos: 0.9857560992240906
Inter Cos: -0.19205224514007568
Norm Quadratic Average: 0.5343246459960938
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.512799859046936
Intra Cos: 0.986025333404541
Inter Cos: -0.1921399086713791
Norm Quadratic Average: 0.7292211651802063
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7183902263641357
Intra Cos: 0.9845895171165466
Inter Cos: -0.21091364324092865
Norm Quadratic Average: 0.9300816059112549
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.913317322731018
Intra Cos: 0.9833720922470093
Inter Cos: -0.2608982026576996
Norm Quadratic Average: 1.0314582586288452
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5536375045776367
Intra Cos: 0.9844620823860168
Inter Cos: -0.2793223261833191
Norm Quadratic Average: 3.527571439743042
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9911330342292786
Inter Cos: -0.28285014629364014
Norm Quadratic Average: 7.154410362243652
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.7986765441894532
Accuracy: 0.6355
NC1 Within Class Collapse: 5.962366104125977
NC2 Equinorm: Features: 0.05315038934350014, Weights: 0.013665558770298958
NC2 Equiangle: Features: 0.08059961597124736, Weights: 0.013086234529813131
NC3 Self-Duality: 0.019341621547937393
NC4 NCC Mismatch: 0.0044999999999999485

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.74660587310791
Intra Cos: 0.018952203914523125
Inter Cos: 0.0029295659624040127
Norm Quadratic Average: 3.981503486633301
Nearest Class Center Accuracy: 0.489

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.499543190002441
Intra Cos: 0.015964709222316742
Inter Cos: 0.0006611227290704846
Norm Quadratic Average: 3.9997081756591797
Nearest Class Center Accuracy: 0.5315

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.160855293273926
Intra Cos: 0.014913209713995457
Inter Cos: -0.0016738406848162413
Norm Quadratic Average: 3.8150410652160645
Nearest Class Center Accuracy: 0.578

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.496367931365967
Intra Cos: 0.021147150546312332
Inter Cos: -0.0018462646985426545
Norm Quadratic Average: 3.0455899238586426
Nearest Class Center Accuracy: 0.6295

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.7371416091918945
Intra Cos: 0.052913736552000046
Inter Cos: 0.001741971354931593
Norm Quadratic Average: 2.0178284645080566
Nearest Class Center Accuracy: 0.642

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8913092613220215
Intra Cos: 0.16672870516777039
Inter Cos: -0.0029410570859909058
Norm Quadratic Average: 1.0459601879119873
Nearest Class Center Accuracy: 0.6335

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3090051412582397
Intra Cos: 0.25413694977760315
Inter Cos: -0.053056750446558
Norm Quadratic Average: 0.4639037251472473
Nearest Class Center Accuracy: 0.6335

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3341894149780273
Intra Cos: 0.26285603642463684
Inter Cos: -0.06265827268362045
Norm Quadratic Average: 0.42068979144096375
Nearest Class Center Accuracy: 0.632

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.512799859046936
Intra Cos: 0.2675022482872009
Inter Cos: -0.062286797910928726
Norm Quadratic Average: 0.5748269557952881
Nearest Class Center Accuracy: 0.6325

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7183902263641357
Intra Cos: 0.2644191384315491
Inter Cos: -0.05630074441432953
Norm Quadratic Average: 0.7400155067443848
Nearest Class Center Accuracy: 0.632

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.913317322731018
Intra Cos: 0.2644568979740143
Inter Cos: -0.0624295175075531
Norm Quadratic Average: 0.8351273536682129
Nearest Class Center Accuracy: 0.635

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5536375045776367
Intra Cos: 0.25848203897476196
Inter Cos: -0.05756130814552307
Norm Quadratic Average: 2.970057487487793
Nearest Class Center Accuracy: 0.634

Output Layer:
Intra Cos: 0.2621324956417084
Inter Cos: -0.05929172411561012
Norm Quadratic Average: 5.979971408843994
Nearest Class Center Accuracy: 0.635

