Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.126133918762207
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.0062224422581493855
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: 8.140108108520508
Linear Weight Rank: 179
Intra Cos: 0.023651305586099625
Inter Cos: -0.002570855664089322
Norm Quadratic Average: 4.831090927124023
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159490585327148
Linear Weight Rank: 179
Intra Cos: 0.01727813482284546
Inter Cos: -0.0005327840917743742
Norm Quadratic Average: 1.7045612335205078
Nearest Class Center Accuracy: 0.5375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101052284240723
Linear Weight Rank: 179
Intra Cos: 0.014354712329804897
Inter Cos: 0.0026420254725962877
Norm Quadratic Average: 0.6292195916175842
Nearest Class Center Accuracy: 0.49475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110333442687988
Linear Weight Rank: 180
Intra Cos: 0.016726629808545113
Inter Cos: 0.0067724427208304405
Norm Quadratic Average: 0.24198868870735168
Nearest Class Center Accuracy: 0.48775

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132049560546875
Linear Weight Rank: 179
Intra Cos: 0.015553897246718407
Inter Cos: 0.005350243300199509
Norm Quadratic Average: 0.09790534526109695
Nearest Class Center Accuracy: 0.4735

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111024856567383
Linear Weight Rank: 180
Intra Cos: 0.016947949305176735
Inter Cos: 0.00750199006870389
Norm Quadratic Average: 0.03744696453213692
Nearest Class Center Accuracy: 0.454375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.105427742004395
Linear Weight Rank: 179
Intra Cos: 0.016192737966775894
Inter Cos: 0.010420975275337696
Norm Quadratic Average: 0.016014916822314262
Nearest Class Center Accuracy: 0.43825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1943016052246094
Linear Weight Rank: 4
Intra Cos: 0.016350554302334785
Inter Cos: 0.012230736203491688
Norm Quadratic Average: 0.006781841162592173
Nearest Class Center Accuracy: 0.43425

Output Layer:
Intra Cos: 0.0326678603887558
Inter Cos: 0.029798325151205063
Norm Quadratic Average: 0.0008252080879174173
Nearest Class Center Accuracy: 0.40975

Test Set:
Average Loss: 1.3866231307983399
Accuracy: 0.255
NC1 Within Class Collapse: 41.255104064941406
NC2 Equinorm: Features: 0.3932840824127197, Weights: 0.024428946897387505
NC2 Equiangle: Features: 0.24297285079956055, Weights: 0.34415427843729657
NC3 Self-Duality: 1.553537368774414
NC4 NCC Mismatch: 0.646

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.126133918762207
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549723584204912
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: 8.140108108520508
Linear Weight Rank: 179
Intra Cos: 0.02337988093495369
Inter Cos: -0.0016078687040135264
Norm Quadratic Average: 4.8441619873046875
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159490585327148
Linear Weight Rank: 179
Intra Cos: 0.01655450277030468
Inter Cos: 9.931718523148447e-05
Norm Quadratic Average: 1.7053500413894653
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101052284240723
Linear Weight Rank: 179
Intra Cos: 0.012659930624067783
Inter Cos: 0.0036345457192510366
Norm Quadratic Average: 0.628980278968811
Nearest Class Center Accuracy: 0.5125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110333442687988
Linear Weight Rank: 180
Intra Cos: 0.013171253725886345
Inter Cos: 0.007831310853362083
Norm Quadratic Average: 0.24171505868434906
Nearest Class Center Accuracy: 0.4995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132049560546875
Linear Weight Rank: 179
Intra Cos: 0.012216642498970032
Inter Cos: 0.006751649547368288
Norm Quadratic Average: 0.09781589359045029
Nearest Class Center Accuracy: 0.4905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111024856567383
Linear Weight Rank: 180
Intra Cos: 0.013381450437009335
Inter Cos: 0.010006661526858807
Norm Quadratic Average: 0.03738636150956154
Nearest Class Center Accuracy: 0.469

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.105427742004395
Linear Weight Rank: 179
Intra Cos: 0.013262222521007061
Inter Cos: 0.011600806377828121
Norm Quadratic Average: 0.01600102335214615
Nearest Class Center Accuracy: 0.4585

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1943016052246094
Linear Weight Rank: 4
Intra Cos: 0.012449588626623154
Inter Cos: 0.012912755832076073
Norm Quadratic Average: 0.006781219504773617
Nearest Class Center Accuracy: 0.459

Output Layer:
Intra Cos: 0.02566869929432869
Inter Cos: 0.02949734404683113
Norm Quadratic Average: 0.0008246705401688814
Nearest Class Center Accuracy: 0.4135

