Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1708734035491943
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 3.2291624546051025
Linear Weight Rank: 179
Intra Cos: 0.07744093984365463
Inter Cos: 0.0046318406239151955
Norm Quadratic Average: 5.417884826660156
Nearest Class Center Accuracy: 0.88775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1788058280944824
Linear Weight Rank: 179
Intra Cos: 0.13397888839244843
Inter Cos: 0.003943386487662792
Norm Quadratic Average: 5.393835544586182
Nearest Class Center Accuracy: 0.951875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1353771686553955
Linear Weight Rank: 179
Intra Cos: 0.19839639961719513
Inter Cos: 0.0034579141065478325
Norm Quadratic Average: 5.377501010894775
Nearest Class Center Accuracy: 0.983125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1316165924072266
Linear Weight Rank: 179
Intra Cos: 0.37681910395622253
Inter Cos: -0.027325870469212532
Norm Quadratic Average: 5.351711273193359
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8389068841934204
Linear Weight Rank: 4
Intra Cos: 0.8068398237228394
Inter Cos: -0.17026464641094208
Norm Quadratic Average: 5.649774074554443
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9831544756889343
Inter Cos: -0.19883431494235992
Norm Quadratic Average: 5.2685136795043945
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.21110976886749266
Accuracy: 0.91
NC1 Within Class Collapse: 0.7875303030014038
NC2 Equinorm: Features: 0.02499178797006607, Weights: 0.022429781034588814
NC2 Equiangle: Features: 0.1931537389755249, Weights: 0.03653863569100698
NC3 Self-Duality: 0.11027517169713974
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1708734035491943
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2291624546051025
Linear Weight Rank: 179
Intra Cos: 0.07594989240169525
Inter Cos: 0.003031644504517317
Norm Quadratic Average: 5.413233280181885
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1788058280944824
Linear Weight Rank: 179
Intra Cos: 0.1276395469903946
Inter Cos: 0.009607718326151371
Norm Quadratic Average: 5.390732765197754
Nearest Class Center Accuracy: 0.923

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1353771686553955
Linear Weight Rank: 179
Intra Cos: 0.17659685015678406
Inter Cos: 0.012706096284091473
Norm Quadratic Average: 5.377978801727295
Nearest Class Center Accuracy: 0.918

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1316165924072266
Linear Weight Rank: 179
Intra Cos: 0.3042406439781189
Inter Cos: -0.006465116515755653
Norm Quadratic Average: 5.306333065032959
Nearest Class Center Accuracy: 0.926

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8389068841934204
Linear Weight Rank: 4
Intra Cos: 0.6089291572570801
Inter Cos: -0.07890289276838303
Norm Quadratic Average: 5.311727046966553
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7842994332313538
Inter Cos: -0.08765174448490143
Norm Quadratic Average: 4.838162422180176
Nearest Class Center Accuracy: 0.9165

