Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04896354675293
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 8.041434288024902
Linear Weight Rank: 180
Intra Cos: 0.07191263884305954
Inter Cos: 0.0050604636780917645
Norm Quadratic Average: 13.855891227722168
Nearest Class Center Accuracy: 0.87225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.999491214752197
Linear Weight Rank: 179
Intra Cos: 0.10136731714010239
Inter Cos: 0.005568291991949081
Norm Quadratic Average: 13.793323516845703
Nearest Class Center Accuracy: 0.91175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031752586364746
Linear Weight Rank: 179
Intra Cos: 0.1299944519996643
Inter Cos: 0.007010020315647125
Norm Quadratic Average: 13.762104988098145
Nearest Class Center Accuracy: 0.944875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.981557846069336
Linear Weight Rank: 179
Intra Cos: 0.16251696646213531
Inter Cos: -0.0020015856716781855
Norm Quadratic Average: 13.719962120056152
Nearest Class Center Accuracy: 0.974625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979249954223633
Linear Weight Rank: 179
Intra Cos: 0.19073577225208282
Inter Cos: -0.001978166401386261
Norm Quadratic Average: 13.682093620300293
Nearest Class Center Accuracy: 0.99

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.004181861877441
Linear Weight Rank: 180
Intra Cos: 0.22922852635383606
Inter Cos: -0.01074929628521204
Norm Quadratic Average: 13.655284881591797
Nearest Class Center Accuracy: 0.998625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.981078624725342
Linear Weight Rank: 179
Intra Cos: 0.30419814586639404
Inter Cos: -0.033534809947013855
Norm Quadratic Average: 13.671344757080078
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.049861192703247
Linear Weight Rank: 4
Intra Cos: 0.45399436354637146
Inter Cos: -0.09130807965993881
Norm Quadratic Average: 13.804540634155273
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9583601951599121
Inter Cos: -0.14917230606079102
Norm Quadratic Average: 10.587698936462402
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.33171329021453855
Accuracy: 0.891
NC1 Within Class Collapse: 1.1399643421173096
NC2 Equinorm: Features: 0.013952086679637432, Weights: 0.016821768134832382
NC2 Equiangle: Features: 0.23378864924112955, Weights: 0.09793200095494588
NC3 Self-Duality: 0.24640843272209167
NC4 NCC Mismatch: 0.019000000000000017

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04896354675293
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.041434288024902
Linear Weight Rank: 180
Intra Cos: 0.07042066007852554
Inter Cos: 0.005434058606624603
Norm Quadratic Average: 13.842268943786621
Nearest Class Center Accuracy: 0.8775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.999491214752197
Linear Weight Rank: 179
Intra Cos: 0.09957154840230942
Inter Cos: 0.005352367646992207
Norm Quadratic Average: 13.784208297729492
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031752586364746
Linear Weight Rank: 179
Intra Cos: 0.11908553540706635
Inter Cos: -0.001056957058608532
Norm Quadratic Average: 13.750432968139648
Nearest Class Center Accuracy: 0.9025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.981557846069336
Linear Weight Rank: 179
Intra Cos: 0.1517982929944992
Inter Cos: 0.0009443252347409725
Norm Quadratic Average: 13.709057807922363
Nearest Class Center Accuracy: 0.9045

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979249954223633
Linear Weight Rank: 179
Intra Cos: 0.1596311777830124
Inter Cos: 0.003030704567208886
Norm Quadratic Average: 13.621223449707031
Nearest Class Center Accuracy: 0.9065

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.004181861877441
Linear Weight Rank: 180
Intra Cos: 0.17773914337158203
Inter Cos: -0.0035059554502367973
Norm Quadratic Average: 13.531927108764648
Nearest Class Center Accuracy: 0.895

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.981078624725342
Linear Weight Rank: 179
Intra Cos: 0.22168396413326263
Inter Cos: -0.01664816215634346
Norm Quadratic Average: 13.430533409118652
Nearest Class Center Accuracy: 0.9005

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.049861192703247
Linear Weight Rank: 4
Intra Cos: 0.3245655298233032
Inter Cos: -0.040118105709552765
Norm Quadratic Average: 13.27616024017334
Nearest Class Center Accuracy: 0.8955

Output Layer:
Intra Cos: 0.7104204297065735
Inter Cos: -0.0560043528676033
Norm Quadratic Average: 9.784828186035156
Nearest Class Center Accuracy: 0.896

