Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.063821792602539
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.029355049133301
Linear Weight Rank: 179
Intra Cos: 0.07626979053020477
Inter Cos: 0.005704156588762999
Norm Quadratic Average: 12.085463523864746
Nearest Class Center Accuracy: 0.881625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.00162935256958
Linear Weight Rank: 179
Intra Cos: 0.11754778772592545
Inter Cos: 0.0046987454406917095
Norm Quadratic Average: 12.068740844726562
Nearest Class Center Accuracy: 0.9255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.033753871917725
Linear Weight Rank: 180
Intra Cos: 0.16285541653633118
Inter Cos: -0.0007989689474925399
Norm Quadratic Average: 12.064404487609863
Nearest Class Center Accuracy: 0.96625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.994221210479736
Linear Weight Rank: 180
Intra Cos: 0.228414848446846
Inter Cos: -0.009797635488212109
Norm Quadratic Average: 12.010748863220215
Nearest Class Center Accuracy: 0.998875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2782742977142334
Linear Weight Rank: 4
Intra Cos: 0.4100289046764374
Inter Cos: -0.05153748020529747
Norm Quadratic Average: 12.130240440368652
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9306529760360718
Inter Cos: -0.0627816841006279
Norm Quadratic Average: 10.436981201171875
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24141687297821046
Accuracy: 0.907
NC1 Within Class Collapse: 1.2126281261444092
NC2 Equinorm: Features: 0.008031371980905533, Weights: 0.017055438831448555
NC2 Equiangle: Features: 0.29217636585235596, Weights: 0.12465089559555054
NC3 Self-Duality: 0.1986723691225052
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.063821792602539
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.029355049133301
Linear Weight Rank: 179
Intra Cos: 0.07468412071466446
Inter Cos: 0.005866249091923237
Norm Quadratic Average: 12.073012351989746
Nearest Class Center Accuracy: 0.8875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.00162935256958
Linear Weight Rank: 179
Intra Cos: 0.11306621134281158
Inter Cos: 0.004190707113593817
Norm Quadratic Average: 12.082096099853516
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.033753871917725
Linear Weight Rank: 180
Intra Cos: 0.14739903807640076
Inter Cos: 0.007351670414209366
Norm Quadratic Average: 12.101176261901855
Nearest Class Center Accuracy: 0.914

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.994221210479736
Linear Weight Rank: 180
Intra Cos: 0.1987469345331192
Inter Cos: -0.006148787681013346
Norm Quadratic Average: 11.982246398925781
Nearest Class Center Accuracy: 0.9235

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2782742977142334
Linear Weight Rank: 4
Intra Cos: 0.31953153014183044
Inter Cos: -0.016849644482135773
Norm Quadratic Average: 11.897258758544922
Nearest Class Center Accuracy: 0.9145

Output Layer:
Intra Cos: 0.7450560927391052
Inter Cos: 0.0014097616076469421
Norm Quadratic Average: 10.008429527282715
Nearest Class Center Accuracy: 0.9125

