Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.189895629882812
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 8.22507381439209
Linear Weight Rank: 180
Intra Cos: 0.07119577378034592
Inter Cos: 0.002821633592247963
Norm Quadratic Average: 14.057551383972168
Nearest Class Center Accuracy: 0.85425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167010307312012
Linear Weight Rank: 180
Intra Cos: 0.10612564533948898
Inter Cos: 0.005049224942922592
Norm Quadratic Average: 14.040789604187012
Nearest Class Center Accuracy: 0.911875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135621070861816
Linear Weight Rank: 179
Intra Cos: 0.1303139626979828
Inter Cos: 0.007993285544216633
Norm Quadratic Average: 14.014325141906738
Nearest Class Center Accuracy: 0.94025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146679878234863
Linear Weight Rank: 180
Intra Cos: 0.1498500406742096
Inter Cos: 0.009089311584830284
Norm Quadratic Average: 13.974924087524414
Nearest Class Center Accuracy: 0.96025

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.147435188293457
Linear Weight Rank: 180
Intra Cos: 0.16675105690956116
Inter Cos: -0.005546349100768566
Norm Quadratic Average: 13.952186584472656
Nearest Class Center Accuracy: 0.986125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.124948501586914
Linear Weight Rank: 180
Intra Cos: 0.21252530813217163
Inter Cos: -0.013272500596940517
Norm Quadratic Average: 13.929177284240723
Nearest Class Center Accuracy: 0.998625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14493465423584
Linear Weight Rank: 179
Intra Cos: 0.28305554389953613
Inter Cos: -0.03461967408657074
Norm Quadratic Average: 13.88490104675293
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0546979904174805
Linear Weight Rank: 4
Intra Cos: 0.430077463388443
Inter Cos: -0.09266375750303268
Norm Quadratic Average: 13.994468688964844
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9596394300460815
Inter Cos: -0.1347784548997879
Norm Quadratic Average: 10.804101943969727
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3857749662399292
Accuracy: 0.88
NC1 Within Class Collapse: 1.2256814241409302
NC2 Equinorm: Features: 0.010764885693788528, Weights: 0.04207661747932434
NC2 Equiangle: Features: 0.23822794357935587, Weights: 0.1036297579606374
NC3 Self-Duality: 0.22968332469463348
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.189895629882812
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.22507381439209
Linear Weight Rank: 180
Intra Cos: 0.07314243912696838
Inter Cos: 0.003969291690737009
Norm Quadratic Average: 14.048137664794922
Nearest Class Center Accuracy: 0.8505

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167010307312012
Linear Weight Rank: 180
Intra Cos: 0.10411258041858673
Inter Cos: 0.00599547429010272
Norm Quadratic Average: 14.036273002624512
Nearest Class Center Accuracy: 0.8915

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135621070861816
Linear Weight Rank: 179
Intra Cos: 0.12292621284723282
Inter Cos: 0.012015663087368011
Norm Quadratic Average: 14.010236740112305
Nearest Class Center Accuracy: 0.901

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146679878234863
Linear Weight Rank: 180
Intra Cos: 0.14162501692771912
Inter Cos: 0.013611173257231712
Norm Quadratic Average: 13.95822811126709
Nearest Class Center Accuracy: 0.8915

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.147435188293457
Linear Weight Rank: 180
Intra Cos: 0.15170906484127045
Inter Cos: 0.0013264103326946497
Norm Quadratic Average: 13.867392539978027
Nearest Class Center Accuracy: 0.893

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.124948501586914
Linear Weight Rank: 180
Intra Cos: 0.18144802749156952
Inter Cos: -0.004505619406700134
Norm Quadratic Average: 13.744461059570312
Nearest Class Center Accuracy: 0.8985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14493465423584
Linear Weight Rank: 179
Intra Cos: 0.22322028875350952
Inter Cos: -0.01926477439701557
Norm Quadratic Average: 13.615864753723145
Nearest Class Center Accuracy: 0.887

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0546979904174805
Linear Weight Rank: 4
Intra Cos: 0.31761622428894043
Inter Cos: -0.04047350957989693
Norm Quadratic Average: 13.403973579406738
Nearest Class Center Accuracy: 0.8855

Output Layer:
Intra Cos: 0.7084765434265137
Inter Cos: -0.05619903281331062
Norm Quadratic Average: 9.964347839355469
Nearest Class Center Accuracy: 0.8785

