Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.212031364440918
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.212289810180664
Linear Weight Rank: 180
Intra Cos: 0.0254361629486084
Inter Cos: -0.004751980304718018
Norm Quadratic Average: 14.045172691345215
Nearest Class Center Accuracy: 0.5745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162698745727539
Linear Weight Rank: 179
Intra Cos: 0.02936144545674324
Inter Cos: -0.0030564460903406143
Norm Quadratic Average: 14.023210525512695
Nearest Class Center Accuracy: 0.62925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.182053565979004
Linear Weight Rank: 179
Intra Cos: 0.0354837030172348
Inter Cos: -0.006379908882081509
Norm Quadratic Average: 13.988627433776855
Nearest Class Center Accuracy: 0.74975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125088691711426
Linear Weight Rank: 180
Intra Cos: 0.06526292860507965
Inter Cos: -0.015671057626605034
Norm Quadratic Average: 13.959468841552734
Nearest Class Center Accuracy: 0.941375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8558754920959473
Linear Weight Rank: 4
Intra Cos: 0.20042328536510468
Inter Cos: -0.056087058037519455
Norm Quadratic Average: 14.26210880279541
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8527330160140991
Inter Cos: -0.16696898639202118
Norm Quadratic Average: 11.371222496032715
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0751679229736328
Accuracy: 0.7385
NC1 Within Class Collapse: 3.7829694747924805
NC2 Equinorm: Features: 0.06494349241256714, Weights: 0.0312824472784996
NC2 Equiangle: Features: 0.08990711967150371, Weights: 0.056291346748669945
NC3 Self-Duality: 0.2025793045759201
NC4 NCC Mismatch: 0.061000000000000054

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.212031364440918
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.212289810180664
Linear Weight Rank: 180
Intra Cos: 0.023674452677369118
Inter Cos: -0.003586127422749996
Norm Quadratic Average: 14.044417381286621
Nearest Class Center Accuracy: 0.5945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.162698745727539
Linear Weight Rank: 179
Intra Cos: 0.025482313707470894
Inter Cos: -0.001248211832717061
Norm Quadratic Average: 14.00839900970459
Nearest Class Center Accuracy: 0.6215

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.182053565979004
Linear Weight Rank: 179
Intra Cos: 0.025682995095849037
Inter Cos: -0.002970359055325389
Norm Quadratic Average: 14.003902435302734
Nearest Class Center Accuracy: 0.6665

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125088691711426
Linear Weight Rank: 180
Intra Cos: 0.03682652860879898
Inter Cos: -0.005048227030783892
Norm Quadratic Average: 13.921622276306152
Nearest Class Center Accuracy: 0.719

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8558754920959473
Linear Weight Rank: 4
Intra Cos: 0.08818797022104263
Inter Cos: -0.015794463455677032
Norm Quadratic Average: 14.021078109741211
Nearest Class Center Accuracy: 0.745

Output Layer:
Intra Cos: 0.40069931745529175
Inter Cos: -0.06772629171609879
Norm Quadratic Average: 10.503783226013184
Nearest Class Center Accuracy: 0.738

