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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.873514175415039
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: 7.812489032745361
Linear Weight Rank: 180
Intra Cos: 0.07578304409980774
Inter Cos: 0.0032857528422027826
Norm Quadratic Average: 13.435074806213379
Nearest Class Center Accuracy: 0.871125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7717156410217285
Linear Weight Rank: 180
Intra Cos: 0.11504968255758286
Inter Cos: 0.0029881768859922886
Norm Quadratic Average: 13.42739486694336
Nearest Class Center Accuracy: 0.92225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.782881259918213
Linear Weight Rank: 180
Intra Cos: 0.1422453224658966
Inter Cos: -0.001091856975108385
Norm Quadratic Average: 13.422869682312012
Nearest Class Center Accuracy: 0.958375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7489705085754395
Linear Weight Rank: 180
Intra Cos: 0.20506875216960907
Inter Cos: -0.012760410085320473
Norm Quadratic Average: 13.361472129821777
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3779265880584717
Linear Weight Rank: 4
Intra Cos: 0.38058796525001526
Inter Cos: -0.04822242632508278
Norm Quadratic Average: 13.481527328491211
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.921709418296814
Inter Cos: -0.08274120837450027
Norm Quadratic Average: 11.694296836853027
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28640585136413577
Accuracy: 0.898
NC1 Within Class Collapse: 1.2862155437469482
NC2 Equinorm: Features: 0.01713854819536209, Weights: 0.029405714944005013
NC2 Equiangle: Features: 0.28597525755564374, Weights: 0.11354143420855205
NC3 Self-Duality: 0.20958837866783142
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.873514175415039
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: 7.812489032745361
Linear Weight Rank: 180
Intra Cos: 0.0766981765627861
Inter Cos: 0.0026507701259106398
Norm Quadratic Average: 13.410462379455566
Nearest Class Center Accuracy: 0.8675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7717156410217285
Linear Weight Rank: 180
Intra Cos: 0.11152146756649017
Inter Cos: -0.0013927181717008352
Norm Quadratic Average: 13.456901550292969
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.782881259918213
Linear Weight Rank: 180
Intra Cos: 0.12966415286064148
Inter Cos: 0.0036012979689985514
Norm Quadratic Average: 13.477483749389648
Nearest Class Center Accuracy: 0.892

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7489705085754395
Linear Weight Rank: 180
Intra Cos: 0.17366507649421692
Inter Cos: -0.0006703687831759453
Norm Quadratic Average: 13.400811195373535
Nearest Class Center Accuracy: 0.9135

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3779265880584717
Linear Weight Rank: 4
Intra Cos: 0.28653228282928467
Inter Cos: -0.02827400527894497
Norm Quadratic Average: 13.374913215637207
Nearest Class Center Accuracy: 0.9035

Output Layer:
Intra Cos: 0.731431245803833
Inter Cos: -0.038174331188201904
Norm Quadratic Average: 11.341086387634277
Nearest Class Center Accuracy: 0.9015

