Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_W20_model_depth_MLP_18_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.915324211120605
Intra Cos: 0.01772155426442623
Inter Cos: 0.0038716504350304604
Norm Quadratic Average: 3.9856889247894287
Nearest Class Center Accuracy: 0.467125

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.73546314239502
Intra Cos: 0.016329070553183556
Inter Cos: 0.0010425701038911939
Norm Quadratic Average: 4.136819362640381
Nearest Class Center Accuracy: 0.529375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.10250473022461
Intra Cos: 0.021069705486297607
Inter Cos: 0.0019849699456244707
Norm Quadratic Average: 3.887194871902466
Nearest Class Center Accuracy: 0.647125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.231090545654297
Intra Cos: 0.04519297182559967
Inter Cos: -0.004252219572663307
Norm Quadratic Average: 3.1674249172210693
Nearest Class Center Accuracy: 0.888875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5480234622955322
Intra Cos: 0.15322063863277435
Inter Cos: -0.0402730293571949
Norm Quadratic Average: 2.2040839195251465
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8841710090637207
Intra Cos: 0.6753983497619629
Inter Cos: -0.17175209522247314
Norm Quadratic Average: 1.2627142667770386
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2837952375411987
Intra Cos: 0.9708994626998901
Inter Cos: -0.14598093926906586
Norm Quadratic Average: 0.622552216053009
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2231593132019043
Intra Cos: 0.9580034613609314
Inter Cos: 0.19918233156204224
Norm Quadratic Average: 0.5057899355888367
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.224161148071289
Intra Cos: 0.9660912752151489
Inter Cos: 0.24794933199882507
Norm Quadratic Average: 0.4964955151081085
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2464861869812012
Intra Cos: 0.9637464880943298
Inter Cos: 0.18311858177185059
Norm Quadratic Average: 0.4898756444454193
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2885874509811401
Intra Cos: 0.9636739492416382
Inter Cos: 0.16854169964790344
Norm Quadratic Average: 0.5367016792297363
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.375342845916748
Intra Cos: 0.9715052247047424
Inter Cos: 0.10148827731609344
Norm Quadratic Average: 0.6364571452140808
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5046651363372803
Intra Cos: 0.9803367853164673
Inter Cos: 0.014682992361485958
Norm Quadratic Average: 0.8154224157333374
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6118310689926147
Intra Cos: 0.9854515194892883
Inter Cos: -0.06128920987248421
Norm Quadratic Average: 0.8958168029785156
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7403857707977295
Intra Cos: 0.9859249591827393
Inter Cos: -0.06521593034267426
Norm Quadratic Average: 0.9691064357757568
Nearest Class Center Accuracy: 1.0

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.924286961555481
Intra Cos: 0.9873813390731812
Inter Cos: -0.12788227200508118
Norm Quadratic Average: 1.0614222288131714
Nearest Class Center Accuracy: 1.0

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.083319664001465
Intra Cos: 0.9774472117424011
Inter Cos: -0.14203062653541565
Norm Quadratic Average: 1.1213788986206055
Nearest Class Center Accuracy: 1.0

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.521216869354248
Intra Cos: 0.9852209091186523
Inter Cos: -0.29366350173950195
Norm Quadratic Average: 3.426727771759033
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9904479384422302
Inter Cos: -0.28916600346565247
Norm Quadratic Average: 6.818310260772705
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.8642778854370117
Accuracy: 0.648
NC1 Within Class Collapse: 5.765797138214111
NC2 Equinorm: Features: 0.030776534229516983, Weights: 0.014681071974337101
NC2 Equiangle: Features: 0.06429498394330342, Weights: 0.02319485942522685
NC3 Self-Duality: 0.028592033311724663
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.915324211120605
Intra Cos: 0.018952203914523125
Inter Cos: 0.0029295661952346563
Norm Quadratic Average: 3.98150372505188
Nearest Class Center Accuracy: 0.489

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.73546314239502
Intra Cos: 0.016189591959118843
Inter Cos: -0.0007695896201767027
Norm Quadratic Average: 4.133358955383301
Nearest Class Center Accuracy: 0.53

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.10250473022461
Intra Cos: 0.016366448253393173
Inter Cos: 0.0018008134793490171
Norm Quadratic Average: 3.874650478363037
Nearest Class Center Accuracy: 0.5775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.231090545654297
Intra Cos: 0.022189296782016754
Inter Cos: 5.378878995543346e-05
Norm Quadratic Average: 3.076319456100464
Nearest Class Center Accuracy: 0.6375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5480234622955322
Intra Cos: 0.04985135793685913
Inter Cos: 0.002756491070613265
Norm Quadratic Average: 1.9995120763778687
Nearest Class Center Accuracy: 0.6585

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8841710090637207
Intra Cos: 0.2101866602897644
Inter Cos: 7.376330177066848e-05
Norm Quadratic Average: 1.0149122476577759
Nearest Class Center Accuracy: 0.6445

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2837952375411987
Intra Cos: 0.27428480982780457
Inter Cos: 0.008946586400270462
Norm Quadratic Average: 0.4885405898094177
Nearest Class Center Accuracy: 0.6505

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2231593132019043
Intra Cos: 0.2364734262228012
Inter Cos: 0.059820953756570816
Norm Quadratic Average: 0.3931961953639984
Nearest Class Center Accuracy: 0.647

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.224161148071289
Intra Cos: 0.2403927445411682
Inter Cos: 0.07541749626398087
Norm Quadratic Average: 0.38582369685173035
Nearest Class Center Accuracy: 0.648

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2464861869812012
Intra Cos: 0.2445501685142517
Inter Cos: 0.061366140842437744
Norm Quadratic Average: 0.3807847201824188
Nearest Class Center Accuracy: 0.6465

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2885874509811401
Intra Cos: 0.2330818623304367
Inter Cos: 0.050191015005111694
Norm Quadratic Average: 0.41826844215393066
Nearest Class Center Accuracy: 0.649

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.375342845916748
Intra Cos: 0.24334201216697693
Inter Cos: 0.02812971919775009
Norm Quadratic Average: 0.4971821904182434
Nearest Class Center Accuracy: 0.6485

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5046651363372803
Intra Cos: 0.24928812682628632
Inter Cos: -0.0028836627025157213
Norm Quadratic Average: 0.6423358917236328
Nearest Class Center Accuracy: 0.647

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6118310689926147
Intra Cos: 0.25895899534225464
Inter Cos: -0.026551350951194763
Norm Quadratic Average: 0.7215930223464966
Nearest Class Center Accuracy: 0.6505

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7403857707977295
Intra Cos: 0.2667487561702728
Inter Cos: -0.03310738131403923
Norm Quadratic Average: 0.7975396513938904
Nearest Class Center Accuracy: 0.6505

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.924286961555481
Intra Cos: 0.25629428029060364
Inter Cos: -0.04686026647686958
Norm Quadratic Average: 0.8966537117958069
Nearest Class Center Accuracy: 0.6475

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.083319664001465
Intra Cos: 0.2562122046947479
Inter Cos: -0.051451411098241806
Norm Quadratic Average: 0.9753702878952026
Nearest Class Center Accuracy: 0.6455

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.521216869354248
Intra Cos: 0.2650328576564789
Inter Cos: -0.06250236183404922
Norm Quadratic Average: 3.101008892059326
Nearest Class Center Accuracy: 0.647

Output Layer:
Intra Cos: 0.266273558139801
Inter Cos: -0.052272383123636246
Norm Quadratic Average: 6.086388111114502
Nearest Class Center Accuracy: 0.647

