Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.130345344543457
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 8.128081321716309
Linear Weight Rank: 179
Intra Cos: 0.06621979922056198
Inter Cos: 0.005502727348357439
Norm Quadratic Average: 13.948565483093262
Nearest Class Center Accuracy: 0.86625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087571144104004
Linear Weight Rank: 179
Intra Cos: 0.10437581688165665
Inter Cos: 0.0032026786357164383
Norm Quadratic Average: 13.95358657836914
Nearest Class Center Accuracy: 0.920875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046693801879883
Linear Weight Rank: 179
Intra Cos: 0.1318104863166809
Inter Cos: -0.004613118711858988
Norm Quadratic Average: 13.91268539428711
Nearest Class Center Accuracy: 0.961625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056315422058105
Linear Weight Rank: 179
Intra Cos: 0.19075170159339905
Inter Cos: -0.011642861180007458
Norm Quadratic Average: 13.855233192443848
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.455118417739868
Linear Weight Rank: 4
Intra Cos: 0.3729639947414398
Inter Cos: -0.046172767877578735
Norm Quadratic Average: 13.954421043395996
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9195629358291626
Inter Cos: -0.08250656723976135
Norm Quadratic Average: 12.394516944885254
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27552744483947755
Accuracy: 0.9005
NC1 Within Class Collapse: 1.3682870864868164
NC2 Equinorm: Features: 0.02130666747689247, Weights: 0.01995520107448101
NC2 Equiangle: Features: 0.294258972009023, Weights: 0.1256575882434845
NC3 Self-Duality: 0.2062416821718216
NC4 NCC Mismatch: 0.027000000000000024

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.130345344543457
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.128081321716309
Linear Weight Rank: 179
Intra Cos: 0.06453919410705566
Inter Cos: 0.0017276310827583075
Norm Quadratic Average: 13.930305480957031
Nearest Class Center Accuracy: 0.876

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087571144104004
Linear Weight Rank: 179
Intra Cos: 0.09927855432033539
Inter Cos: 0.00283054169267416
Norm Quadratic Average: 13.9310884475708
Nearest Class Center Accuracy: 0.9

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046693801879883
Linear Weight Rank: 179
Intra Cos: 0.11733831465244293
Inter Cos: 0.003008923027664423
Norm Quadratic Average: 13.935789108276367
Nearest Class Center Accuracy: 0.89

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056315422058105
Linear Weight Rank: 179
Intra Cos: 0.15791313350200653
Inter Cos: -0.006860251538455486
Norm Quadratic Average: 13.867330551147461
Nearest Class Center Accuracy: 0.896

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.455118417739868
Linear Weight Rank: 4
Intra Cos: 0.2887321412563324
Inter Cos: -0.02134258858859539
Norm Quadratic Average: 13.780909538269043
Nearest Class Center Accuracy: 0.9085

Output Layer:
Intra Cos: 0.740898847579956
Inter Cos: -0.03262295573949814
Norm Quadratic Average: 11.973516464233398
Nearest Class Center Accuracy: 0.91

