Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.985371112823486
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584878951311111
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: 8.035400390625
Linear Weight Rank: 179
Intra Cos: 0.07879577577114105
Inter Cos: 0.006339595187455416
Norm Quadratic Average: 13.814050674438477
Nearest Class Center Accuracy: 0.868875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03268051147461
Linear Weight Rank: 179
Intra Cos: 0.11314154416322708
Inter Cos: 0.008227061480283737
Norm Quadratic Average: 13.803771018981934
Nearest Class Center Accuracy: 0.909375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.962775230407715
Linear Weight Rank: 180
Intra Cos: 0.13906635344028473
Inter Cos: 0.0016247262246906757
Norm Quadratic Average: 13.714776992797852
Nearest Class Center Accuracy: 0.95425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964913368225098
Linear Weight Rank: 179
Intra Cos: 0.20157425105571747
Inter Cos: -0.011714165098965168
Norm Quadratic Average: 13.673921585083008
Nearest Class Center Accuracy: 0.997

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4225001335144043
Linear Weight Rank: 4
Intra Cos: 0.3603072762489319
Inter Cos: -0.04347603768110275
Norm Quadratic Average: 13.78159236907959
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9217966198921204
Inter Cos: -0.07145565748214722
Norm Quadratic Average: 11.875653266906738
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28423387002944944
Accuracy: 0.907
NC1 Within Class Collapse: 1.3037420511245728
NC2 Equinorm: Features: 0.0252701286226511, Weights: 0.02557835727930069
NC2 Equiangle: Features: 0.3002636830012004, Weights: 0.11205253005027771
NC3 Self-Duality: 0.2218932956457138
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.985371112823486
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 8.035400390625
Linear Weight Rank: 179
Intra Cos: 0.08012187480926514
Inter Cos: 0.007146044634282589
Norm Quadratic Average: 13.797082901000977
Nearest Class Center Accuracy: 0.873

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03268051147461
Linear Weight Rank: 179
Intra Cos: 0.10888175666332245
Inter Cos: 0.0029867286793887615
Norm Quadratic Average: 13.837878227233887
Nearest Class Center Accuracy: 0.8965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.962775230407715
Linear Weight Rank: 180
Intra Cos: 0.1291310340166092
Inter Cos: 0.008860000409185886
Norm Quadratic Average: 13.745918273925781
Nearest Class Center Accuracy: 0.887

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964913368225098
Linear Weight Rank: 179
Intra Cos: 0.17458535730838776
Inter Cos: -0.009512029588222504
Norm Quadratic Average: 13.640207290649414
Nearest Class Center Accuracy: 0.9075

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4225001335144043
Linear Weight Rank: 4
Intra Cos: 0.28259676694869995
Inter Cos: -0.026521576568484306
Norm Quadratic Average: 13.651823043823242
Nearest Class Center Accuracy: 0.907

Output Layer:
Intra Cos: 0.750991940498352
Inter Cos: -0.02066263183951378
Norm Quadratic Average: 11.567138671875
Nearest Class Center Accuracy: 0.9075

