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_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.204767227172852
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127699851989746
Linear Weight Rank: 179
Intra Cos: 0.01385479886084795
Inter Cos: 0.007122231647372246
Norm Quadratic Average: 4.919018268585205
Nearest Class Center Accuracy: 0.453375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121368408203125
Linear Weight Rank: 180
Intra Cos: 0.028918610885739326
Inter Cos: 0.022460227832198143
Norm Quadratic Average: 2.2394778728485107
Nearest Class Center Accuracy: 0.463

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1763277053833
Linear Weight Rank: 179
Intra Cos: 0.061869893223047256
Inter Cos: 0.05689415708184242
Norm Quadratic Average: 1.3787248134613037
Nearest Class Center Accuracy: 0.466

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148773193359375
Linear Weight Rank: 180
Intra Cos: 0.09742618352174759
Inter Cos: 0.10330717265605927
Norm Quadratic Average: 1.1276881694793701
Nearest Class Center Accuracy: 0.461625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8486227989196777
Linear Weight Rank: 4
Intra Cos: 0.1081281304359436
Inter Cos: 0.14667612314224243
Norm Quadratic Average: 1.117690920829773
Nearest Class Center Accuracy: 0.447875

Output Layer:
Intra Cos: 0.10531148314476013
Inter Cos: 0.18126723170280457
Norm Quadratic Average: 1.1862590312957764
Nearest Class Center Accuracy: 0.4285

Test Set:
Average Loss: 1.217091999053955
Accuracy: 0.4525
NC1 Within Class Collapse: 28.84037208557129
NC2 Equinorm: Features: 0.20459893345832825, Weights: 0.08726298063993454
NC2 Equiangle: Features: 0.6934730211893717, Weights: 0.23377599318822226
NC3 Self-Duality: 0.46218231320381165
NC4 NCC Mismatch: 0.1765

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.204767227172852
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
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: 8.127699851989746
Linear Weight Rank: 179
Intra Cos: 0.013298925943672657
Inter Cos: 0.006511131301522255
Norm Quadratic Average: 4.895915985107422
Nearest Class Center Accuracy: 0.4595

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121368408203125
Linear Weight Rank: 180
Intra Cos: 0.03008594736456871
Inter Cos: 0.022360216826200485
Norm Quadratic Average: 2.221425771713257
Nearest Class Center Accuracy: 0.469

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1763277053833
Linear Weight Rank: 179
Intra Cos: 0.0569399893283844
Inter Cos: 0.05731302499771118
Norm Quadratic Average: 1.366654634475708
Nearest Class Center Accuracy: 0.466

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148773193359375
Linear Weight Rank: 180
Intra Cos: 0.08114396780729294
Inter Cos: 0.10275588184595108
Norm Quadratic Average: 1.1165244579315186
Nearest Class Center Accuracy: 0.449

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8486227989196777
Linear Weight Rank: 4
Intra Cos: 0.09119974821805954
Inter Cos: 0.14339087903499603
Norm Quadratic Average: 1.1096513271331787
Nearest Class Center Accuracy: 0.4395

Output Layer:
Intra Cos: 0.0880114734172821
Inter Cos: 0.17461702227592468
Norm Quadratic Average: 1.1821191310882568
Nearest Class Center Accuracy: 0.4215

