Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.131093502044678
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.483438491821289
Linear Weight Rank: 180
Intra Cos: 0.013006003573536873
Inter Cos: 0.004610845353454351
Norm Quadratic Average: 12.210977554321289
Nearest Class Center Accuracy: 0.458875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.393599510192871
Linear Weight Rank: 179
Intra Cos: 0.01210564561188221
Inter Cos: 0.002159816212952137
Norm Quadratic Average: 12.181258201599121
Nearest Class Center Accuracy: 0.487625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2688117027282715
Linear Weight Rank: 180
Intra Cos: 0.013407737016677856
Inter Cos: 0.0034181573428213596
Norm Quadratic Average: 12.130141258239746
Nearest Class Center Accuracy: 0.52275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.210853099822998
Linear Weight Rank: 180
Intra Cos: 0.016993790864944458
Inter Cos: 0.0021178624592721462
Norm Quadratic Average: 12.134360313415527
Nearest Class Center Accuracy: 0.584125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169013023376465
Linear Weight Rank: 180
Intra Cos: 0.025193672627210617
Inter Cos: 0.0031689265742897987
Norm Quadratic Average: 12.135948181152344
Nearest Class Center Accuracy: 0.710375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100689888000488
Linear Weight Rank: 179
Intra Cos: 0.04137745499610901
Inter Cos: -0.0032946583814918995
Norm Quadratic Average: 12.139615058898926
Nearest Class Center Accuracy: 0.882625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.067861557006836
Linear Weight Rank: 179
Intra Cos: 0.1023293137550354
Inter Cos: -0.02360726334154606
Norm Quadratic Average: 12.194012641906738
Nearest Class Center Accuracy: 0.998375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4737329483032227
Linear Weight Rank: 4
Intra Cos: 0.3043024241924286
Inter Cos: -0.087044857442379
Norm Quadratic Average: 12.630380630493164
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9190616607666016
Inter Cos: -0.21366500854492188
Norm Quadratic Average: 10.140243530273438
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.366725517272949
Accuracy: 0.502
NC1 Within Class Collapse: 14.939788818359375
NC2 Equinorm: Features: 0.0656292513012886, Weights: 0.04225970804691315
NC2 Equiangle: Features: 0.2726634939511617, Weights: 0.06032876173655192
NC3 Self-Duality: 0.2288789302110672
NC4 NCC Mismatch: 0.08299999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.131093502044678
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.483438491821289
Linear Weight Rank: 180
Intra Cos: 0.014311155304312706
Inter Cos: 0.004603140521794558
Norm Quadratic Average: 12.165156364440918
Nearest Class Center Accuracy: 0.461

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.393599510192871
Linear Weight Rank: 179
Intra Cos: 0.011895237490534782
Inter Cos: 0.002095683477818966
Norm Quadratic Average: 12.151747703552246
Nearest Class Center Accuracy: 0.4875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2688117027282715
Linear Weight Rank: 180
Intra Cos: 0.011202799156308174
Inter Cos: 0.0035324394702911377
Norm Quadratic Average: 12.091177940368652
Nearest Class Center Accuracy: 0.499

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.210853099822998
Linear Weight Rank: 180
Intra Cos: 0.011636161245405674
Inter Cos: 0.0026603376027196646
Norm Quadratic Average: 12.0534086227417
Nearest Class Center Accuracy: 0.5045

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169013023376465
Linear Weight Rank: 180
Intra Cos: 0.011337817646563053
Inter Cos: 0.004216618370264769
Norm Quadratic Average: 11.95754623413086
Nearest Class Center Accuracy: 0.503

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100689888000488
Linear Weight Rank: 179
Intra Cos: 0.010663216933608055
Inter Cos: 0.00377140985801816
Norm Quadratic Average: 11.82377815246582
Nearest Class Center Accuracy: 0.519

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.067861557006836
Linear Weight Rank: 179
Intra Cos: 0.016146745532751083
Inter Cos: 0.0022901028860360384
Norm Quadratic Average: 11.567361831665039
Nearest Class Center Accuracy: 0.531

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4737329483032227
Linear Weight Rank: 4
Intra Cos: 0.03504842519760132
Inter Cos: 0.004739103373140097
Norm Quadratic Average: 11.090437889099121
Nearest Class Center Accuracy: 0.5205

Output Layer:
Intra Cos: 0.12659521400928497
Inter Cos: 0.030226577073335648
Norm Quadratic Average: 7.439397811889648
Nearest Class Center Accuracy: 0.5155

