Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9539923667907715
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 7.947358131408691
Linear Weight Rank: 180
Intra Cos: 0.07215533405542374
Inter Cos: 0.00523863360285759
Norm Quadratic Average: 13.642657279968262
Nearest Class Center Accuracy: 0.8695

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905461311340332
Linear Weight Rank: 179
Intra Cos: 0.1009114533662796
Inter Cos: 0.004390176385641098
Norm Quadratic Average: 13.611123085021973
Nearest Class Center Accuracy: 0.9125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.937231063842773
Linear Weight Rank: 179
Intra Cos: 0.13021928071975708
Inter Cos: 0.004859768785536289
Norm Quadratic Average: 13.577823638916016
Nearest Class Center Accuracy: 0.944125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886993408203125
Linear Weight Rank: 179
Intra Cos: 0.16135422885417938
Inter Cos: -0.0021217360626906157
Norm Quadratic Average: 13.543904304504395
Nearest Class Center Accuracy: 0.97675

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884589195251465
Linear Weight Rank: 180
Intra Cos: 0.1868903636932373
Inter Cos: -0.0007231500931084156
Norm Quadratic Average: 13.505864143371582
Nearest Class Center Accuracy: 0.992

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.908931732177734
Linear Weight Rank: 180
Intra Cos: 0.22364267706871033
Inter Cos: -0.011709870770573616
Norm Quadratic Average: 13.516809463500977
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886014938354492
Linear Weight Rank: 179
Intra Cos: 0.3015260100364685
Inter Cos: -0.035989630967378616
Norm Quadratic Average: 13.517149925231934
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.04630708694458
Linear Weight Rank: 4
Intra Cos: 0.46423518657684326
Inter Cos: -0.09785991907119751
Norm Quadratic Average: 13.618338584899902
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9601376056671143
Inter Cos: -0.14354710280895233
Norm Quadratic Average: 10.49478530883789
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3417976789474487
Accuracy: 0.889
NC1 Within Class Collapse: 1.1628636121749878
NC2 Equinorm: Features: 0.02843102067708969, Weights: 0.015044274739921093
NC2 Equiangle: Features: 0.23310726881027222, Weights: 0.09567358096440633
NC3 Self-Duality: 0.23981446027755737
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9539923667907715
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: 7.947358131408691
Linear Weight Rank: 180
Intra Cos: 0.07069198787212372
Inter Cos: 0.004898367449641228
Norm Quadratic Average: 13.630642890930176
Nearest Class Center Accuracy: 0.872

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905461311340332
Linear Weight Rank: 179
Intra Cos: 0.09872975945472717
Inter Cos: 0.004346311092376709
Norm Quadratic Average: 13.59760570526123
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.937231063842773
Linear Weight Rank: 179
Intra Cos: 0.11985736340284348
Inter Cos: -0.002997186267748475
Norm Quadratic Average: 13.577001571655273
Nearest Class Center Accuracy: 0.9065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886993408203125
Linear Weight Rank: 179
Intra Cos: 0.15003716945648193
Inter Cos: 0.0004195747897028923
Norm Quadratic Average: 13.543803215026855
Nearest Class Center Accuracy: 0.907

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884589195251465
Linear Weight Rank: 180
Intra Cos: 0.15905627608299255
Inter Cos: 0.0066651757806539536
Norm Quadratic Average: 13.472874641418457
Nearest Class Center Accuracy: 0.9005

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.908931732177734
Linear Weight Rank: 180
Intra Cos: 0.17814184725284576
Inter Cos: 0.0030333474278450012
Norm Quadratic Average: 13.39623737335205
Nearest Class Center Accuracy: 0.8915

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886014938354492
Linear Weight Rank: 179
Intra Cos: 0.22007188200950623
Inter Cos: -0.017851833254098892
Norm Quadratic Average: 13.26744556427002
Nearest Class Center Accuracy: 0.896

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.04630708694458
Linear Weight Rank: 4
Intra Cos: 0.3270993232727051
Inter Cos: -0.038649577647447586
Norm Quadratic Average: 13.048988342285156
Nearest Class Center Accuracy: 0.893

Output Layer:
Intra Cos: 0.7156140208244324
Inter Cos: -0.05678939074277878
Norm Quadratic Average: 9.640569686889648
Nearest Class Center Accuracy: 0.89

