Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.522303581237793
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 6.479812145233154
Linear Weight Rank: 180
Intra Cos: 0.07710947841405869
Inter Cos: 0.002995984395965934
Norm Quadratic Average: 11.131911277770996
Nearest Class Center Accuracy: 0.875625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441112518310547
Linear Weight Rank: 180
Intra Cos: 0.11968012899160385
Inter Cos: 0.0029443474486470222
Norm Quadratic Average: 11.111236572265625
Nearest Class Center Accuracy: 0.93

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.44738245010376
Linear Weight Rank: 180
Intra Cos: 0.1520153284072876
Inter Cos: -0.0025415061973035336
Norm Quadratic Average: 11.108434677124023
Nearest Class Center Accuracy: 0.963875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.417893409729004
Linear Weight Rank: 179
Intra Cos: 0.23000861704349518
Inter Cos: -0.01652545854449272
Norm Quadratic Average: 11.067548751831055
Nearest Class Center Accuracy: 0.998875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.154391050338745
Linear Weight Rank: 4
Intra Cos: 0.4423259496688843
Inter Cos: -0.06845074892044067
Norm Quadratic Average: 11.200849533081055
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9349430203437805
Inter Cos: -0.10869456082582474
Norm Quadratic Average: 9.425426483154297
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2591402554512024
Accuracy: 0.8995
NC1 Within Class Collapse: 1.169486165046692
NC2 Equinorm: Features: 0.016233831644058228, Weights: 0.03029865399003029
NC2 Equiangle: Features: 0.2632136940956116, Weights: 0.09819368521372478
NC3 Self-Duality: 0.1886177659034729
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.522303581237793
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.479812145233154
Linear Weight Rank: 180
Intra Cos: 0.07800028473138809
Inter Cos: 0.0029072051402181387
Norm Quadratic Average: 11.112062454223633
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441112518310547
Linear Weight Rank: 180
Intra Cos: 0.11560138314962387
Inter Cos: -0.0012759326491504908
Norm Quadratic Average: 11.141162872314453
Nearest Class Center Accuracy: 0.912

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.44738245010376
Linear Weight Rank: 180
Intra Cos: 0.1383800506591797
Inter Cos: 0.0037603750824928284
Norm Quadratic Average: 11.160402297973633
Nearest Class Center Accuracy: 0.9035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.417893409729004
Linear Weight Rank: 179
Intra Cos: 0.1923365741968155
Inter Cos: -0.0022381457965821028
Norm Quadratic Average: 11.100750923156738
Nearest Class Center Accuracy: 0.916

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.154391050338745
Linear Weight Rank: 4
Intra Cos: 0.32683175802230835
Inter Cos: -0.03947533667087555
Norm Quadratic Average: 11.04736042022705
Nearest Class Center Accuracy: 0.905

Output Layer:
Intra Cos: 0.7458740472793579
Inter Cos: -0.049924585968256
Norm Quadratic Average: 9.0637845993042
Nearest Class Center Accuracy: 0.9035

