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_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.091556549072266
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.348496437072754
Linear Weight Rank: 180
Intra Cos: 0.012530923821032047
Inter Cos: 0.0054665012285113335
Norm Quadratic Average: 13.812355041503906
Nearest Class Center Accuracy: 0.460125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.23581600189209
Linear Weight Rank: 179
Intra Cos: 0.011470681056380272
Inter Cos: 0.0038770411629229784
Norm Quadratic Average: 13.754767417907715
Nearest Class Center Accuracy: 0.4825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.208208084106445
Linear Weight Rank: 179
Intra Cos: 0.01190991885960102
Inter Cos: 0.0010925327660515904
Norm Quadratic Average: 13.755594253540039
Nearest Class Center Accuracy: 0.515625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109488487243652
Linear Weight Rank: 179
Intra Cos: 0.0161163080483675
Inter Cos: -0.0006822681752964854
Norm Quadratic Average: 13.719480514526367
Nearest Class Center Accuracy: 0.57975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058196067810059
Linear Weight Rank: 179
Intra Cos: 0.023756403475999832
Inter Cos: -0.0017857146449387074
Norm Quadratic Average: 13.73393440246582
Nearest Class Center Accuracy: 0.710375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03968620300293
Linear Weight Rank: 180
Intra Cos: 0.041354432702064514
Inter Cos: -0.0034753205254673958
Norm Quadratic Average: 13.72649097442627
Nearest Class Center Accuracy: 0.88725

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991502285003662
Linear Weight Rank: 179
Intra Cos: 0.0811094418168068
Inter Cos: -0.013580194674432278
Norm Quadratic Average: 13.77381420135498
Nearest Class Center Accuracy: 0.997625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6528985500335693
Linear Weight Rank: 4
Intra Cos: 0.24241593480110168
Inter Cos: -0.06445183604955673
Norm Quadratic Average: 14.13621711730957
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9026498794555664
Inter Cos: -0.23500481247901917
Norm Quadratic Average: 11.002935409545898
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.5651748428344727
Accuracy: 0.511
NC1 Within Class Collapse: 15.537927627563477
NC2 Equinorm: Features: 0.09634307771921158, Weights: 0.018426399677991867
NC2 Equiangle: Features: 0.26230837901433307, Weights: 0.05673734347025553
NC3 Self-Duality: 0.2522397041320801
NC4 NCC Mismatch: 0.07950000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.091556549072266
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.348496437072754
Linear Weight Rank: 180
Intra Cos: 0.012399950996041298
Inter Cos: 0.0048924395814538
Norm Quadratic Average: 13.754341125488281
Nearest Class Center Accuracy: 0.4625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.23581600189209
Linear Weight Rank: 179
Intra Cos: 0.012042366899549961
Inter Cos: 0.003864686470478773
Norm Quadratic Average: 13.678742408752441
Nearest Class Center Accuracy: 0.488

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.208208084106445
Linear Weight Rank: 179
Intra Cos: 0.009657695889472961
Inter Cos: 0.0008581014699302614
Norm Quadratic Average: 13.695530891418457
Nearest Class Center Accuracy: 0.5095

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109488487243652
Linear Weight Rank: 179
Intra Cos: 0.009902159683406353
Inter Cos: 0.00019871778204105794
Norm Quadratic Average: 13.561734199523926
Nearest Class Center Accuracy: 0.499

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058196067810059
Linear Weight Rank: 179
Intra Cos: 0.009158249013125896
Inter Cos: 0.001106176059693098
Norm Quadratic Average: 13.52591609954834
Nearest Class Center Accuracy: 0.515

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03968620300293
Linear Weight Rank: 180
Intra Cos: 0.009913544170558453
Inter Cos: 0.0017857028869912028
Norm Quadratic Average: 13.365507125854492
Nearest Class Center Accuracy: 0.525

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991502285003662
Linear Weight Rank: 179
Intra Cos: 0.012943465262651443
Inter Cos: 0.001936115906573832
Norm Quadratic Average: 13.181265830993652
Nearest Class Center Accuracy: 0.53

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6528985500335693
Linear Weight Rank: 4
Intra Cos: 0.02787165716290474
Inter Cos: 0.0037080554757267237
Norm Quadratic Average: 12.678741455078125
Nearest Class Center Accuracy: 0.5145

Output Layer:
Intra Cos: 0.12347633391618729
Inter Cos: 0.017820801585912704
Norm Quadratic Average: 8.213043212890625
Nearest Class Center Accuracy: 0.511

