Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0448329448699951
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 1.040390133857727
Linear Weight Rank: 180
Intra Cos: 0.06256458163261414
Inter Cos: 0.0015928768552839756
Norm Quadratic Average: 0.611046552658081
Nearest Class Center Accuracy: 0.799

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0372298955917358
Linear Weight Rank: 180
Intra Cos: 0.0474625863134861
Inter Cos: 0.01012473739683628
Norm Quadratic Average: 0.02884768322110176
Nearest Class Center Accuracy: 0.702625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0356237888336182
Linear Weight Rank: 179
Intra Cos: 0.055414747446775436
Inter Cos: 0.014560740441083908
Norm Quadratic Average: 0.0015361947007477283
Nearest Class Center Accuracy: 0.623875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0386343002319336
Linear Weight Rank: 180
Intra Cos: 0.0746626928448677
Inter Cos: 0.025272905826568604
Norm Quadratic Average: 8.369589340873063e-05
Nearest Class Center Accuracy: 0.609625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.14992649853229523
Linear Weight Rank: 4
Intra Cos: 0.09099418669939041
Inter Cos: 0.04800476133823395
Norm Quadratic Average: 4.417237960296916e-06
Nearest Class Center Accuracy: 0.581875

Output Layer:
Intra Cos: 0.025681033730506897
Inter Cos: 0.4654218554496765
Norm Quadratic Average: 8.091085135220055e-08
Nearest Class Center Accuracy: 0.549625

Test Set:
Average Loss: 1.387060344696045
Accuracy: 0.257
NC1 Within Class Collapse: 49.13926696777344
NC2 Equinorm: Features: 0.07107023894786835, Weights: 0.03384501859545708
NC2 Equiangle: Features: 0.4926827351252238, Weights: 0.27339359124501544
NC3 Self-Duality: 1.555983066558838
NC4 NCC Mismatch: 0.773

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0448329448699951
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 1.040390133857727
Linear Weight Rank: 180
Intra Cos: 0.06432173401117325
Inter Cos: 0.005180397070944309
Norm Quadratic Average: 0.6099538207054138
Nearest Class Center Accuracy: 0.806

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0372298955917358
Linear Weight Rank: 180
Intra Cos: 0.04873788356781006
Inter Cos: 0.013217076659202576
Norm Quadratic Average: 0.028793174773454666
Nearest Class Center Accuracy: 0.6965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0356237888336182
Linear Weight Rank: 179
Intra Cos: 0.05457514524459839
Inter Cos: 0.01776815764605999
Norm Quadratic Average: 0.0015352497575804591
Nearest Class Center Accuracy: 0.6285

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0386343002319336
Linear Weight Rank: 180
Intra Cos: 0.07463531941175461
Inter Cos: 0.029661908745765686
Norm Quadratic Average: 8.38985652080737e-05
Nearest Class Center Accuracy: 0.615

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.14992649853229523
Linear Weight Rank: 4
Intra Cos: 0.09303253144025803
Inter Cos: 0.05680697411298752
Norm Quadratic Average: 4.423024165589595e-06
Nearest Class Center Accuracy: 0.599

Output Layer:
Intra Cos: 0.14206749200820923
Inter Cos: 0.2259889543056488
Norm Quadratic Average: 7.488644371278497e-08
Nearest Class Center Accuracy: 0.5715

