Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.242642879486084
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
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: 7.156402587890625
Linear Weight Rank: 179
Intra Cos: 0.014003981836140156
Inter Cos: 0.004984408617019653
Norm Quadratic Average: 4.261794567108154
Nearest Class Center Accuracy: 0.457375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.141859531402588
Linear Weight Rank: 179
Intra Cos: 0.04046373814344406
Inter Cos: 0.030113473534584045
Norm Quadratic Average: 1.7627094984054565
Nearest Class Center Accuracy: 0.46375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.167137622833252
Linear Weight Rank: 180
Intra Cos: 0.0854334905743599
Inter Cos: 0.07683557271957397
Norm Quadratic Average: 1.067613959312439
Nearest Class Center Accuracy: 0.45975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.149663925170898
Linear Weight Rank: 179
Intra Cos: 0.12049055844545364
Inter Cos: 0.10873550921678543
Norm Quadratic Average: 0.8896459341049194
Nearest Class Center Accuracy: 0.444875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.5832940340042114
Linear Weight Rank: 4
Intra Cos: 0.14181974530220032
Inter Cos: 0.13049322366714478
Norm Quadratic Average: 0.8676210045814514
Nearest Class Center Accuracy: 0.428625

Output Layer:
Intra Cos: 0.14004552364349365
Inter Cos: 0.15000185370445251
Norm Quadratic Average: 0.9454317688941956
Nearest Class Center Accuracy: 0.395375

Test Set:
Average Loss: 1.263902042388916
Accuracy: 0.4065
NC1 Within Class Collapse: 35.061927795410156
NC2 Equinorm: Features: 0.1900206208229065, Weights: 0.023907963186502457
NC2 Equiangle: Features: 0.8509355386098226, Weights: 0.31294429302215576
NC3 Self-Duality: 0.4872109293937683
NC4 NCC Mismatch: 0.28300000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.242642879486084
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
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: 7.156402587890625
Linear Weight Rank: 179
Intra Cos: 0.01545710302889347
Inter Cos: 0.0055453660897910595
Norm Quadratic Average: 4.257462501525879
Nearest Class Center Accuracy: 0.475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.141859531402588
Linear Weight Rank: 179
Intra Cos: 0.04548546299338341
Inter Cos: 0.031680699437856674
Norm Quadratic Average: 1.760499119758606
Nearest Class Center Accuracy: 0.473

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.167137622833252
Linear Weight Rank: 180
Intra Cos: 0.08431552350521088
Inter Cos: 0.08035585284233093
Norm Quadratic Average: 1.0686020851135254
Nearest Class Center Accuracy: 0.4535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.149663925170898
Linear Weight Rank: 179
Intra Cos: 0.10772135853767395
Inter Cos: 0.11275924742221832
Norm Quadratic Average: 0.8929996490478516
Nearest Class Center Accuracy: 0.4375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.5832940340042114
Linear Weight Rank: 4
Intra Cos: 0.11164482682943344
Inter Cos: 0.13140009343624115
Norm Quadratic Average: 0.8716683387756348
Nearest Class Center Accuracy: 0.41

Output Layer:
Intra Cos: 0.1042146235704422
Inter Cos: 0.13824541866779327
Norm Quadratic Average: 0.950279951095581
Nearest Class Center Accuracy: 0.396

