Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.8099809885025024
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9241666793823242
Linear Weight Rank: 180
Intra Cos: 0.10381961613893509
Inter Cos: 0.0029377909377217293
Norm Quadratic Average: 3.015902280807495
Nearest Class Center Accuracy: 0.918875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8291622400283813
Linear Weight Rank: 180
Intra Cos: 0.1671672910451889
Inter Cos: 4.6484172344207764e-05
Norm Quadratic Average: 2.962186098098755
Nearest Class Center Accuracy: 0.969375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.769667387008667
Linear Weight Rank: 179
Intra Cos: 0.27959394454956055
Inter Cos: -0.016279201954603195
Norm Quadratic Average: 2.9514148235321045
Nearest Class Center Accuracy: 0.999125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7453372478485107
Linear Weight Rank: 179
Intra Cos: 0.6040663719177246
Inter Cos: -0.0852501392364502
Norm Quadratic Average: 2.9507265090942383
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.981110692024231
Linear Weight Rank: 4
Intra Cos: 0.9587952494621277
Inter Cos: -0.263842910528183
Norm Quadratic Average: 3.588501214981079
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9978696703910828
Inter Cos: -0.2611445188522339
Norm Quadratic Average: 3.992048740386963
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.19026575517654418
Accuracy: 0.9375
NC1 Within Class Collapse: 0.4747112989425659
NC2 Equinorm: Features: 0.0074595301412045956, Weights: 0.026264000684022903
NC2 Equiangle: Features: 0.11620174845059712, Weights: 0.019422317544619244
NC3 Self-Duality: 0.03190550580620766
NC4 NCC Mismatch: 0.0034999999999999476

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.8099809885025024
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9241666793823242
Linear Weight Rank: 180
Intra Cos: 0.1047462448477745
Inter Cos: 0.004916226491332054
Norm Quadratic Average: 3.012634038925171
Nearest Class Center Accuracy: 0.922

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8291622400283813
Linear Weight Rank: 180
Intra Cos: 0.15767554938793182
Inter Cos: -0.00260733999311924
Norm Quadratic Average: 2.973543643951416
Nearest Class Center Accuracy: 0.9315

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.769667387008667
Linear Weight Rank: 179
Intra Cos: 0.24849745631217957
Inter Cos: -0.006563067901879549
Norm Quadratic Average: 2.9593920707702637
Nearest Class Center Accuracy: 0.942

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7453372478485107
Linear Weight Rank: 179
Intra Cos: 0.5167005062103271
Inter Cos: -0.05255327746272087
Norm Quadratic Average: 2.8977625370025635
Nearest Class Center Accuracy: 0.9375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.981110692024231
Linear Weight Rank: 4
Intra Cos: 0.796215832233429
Inter Cos: -0.17044591903686523
Norm Quadratic Average: 3.3053836822509766
Nearest Class Center Accuracy: 0.938

Output Layer:
Intra Cos: 0.844096839427948
Inter Cos: -0.16640478372573853
Norm Quadratic Average: 3.6439390182495117
Nearest Class Center Accuracy: 0.9385

