Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_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: 8.139851570129395
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 8.190114974975586
Linear Weight Rank: 179
Intra Cos: 0.07869432121515274
Inter Cos: 0.0062877219170331955
Norm Quadratic Average: 14.081924438476562
Nearest Class Center Accuracy: 0.868375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.187701225280762
Linear Weight Rank: 179
Intra Cos: 0.1130937859416008
Inter Cos: 0.008283831179141998
Norm Quadratic Average: 14.072773933410645
Nearest Class Center Accuracy: 0.9085

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116840362548828
Linear Weight Rank: 180
Intra Cos: 0.13837213814258575
Inter Cos: 0.0018448045011609793
Norm Quadratic Average: 13.981267929077148
Nearest Class Center Accuracy: 0.953125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119128227233887
Linear Weight Rank: 179
Intra Cos: 0.19862902164459229
Inter Cos: -0.012190164066851139
Norm Quadratic Average: 13.940592765808105
Nearest Class Center Accuracy: 0.997125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469246864318848
Linear Weight Rank: 4
Intra Cos: 0.3547165095806122
Inter Cos: -0.042176831513643265
Norm Quadratic Average: 14.046971321105957
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9200897812843323
Inter Cos: -0.06817835569381714
Norm Quadratic Average: 12.145613670349121
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.29090135526657107
Accuracy: 0.9045
NC1 Within Class Collapse: 1.3129656314849854
NC2 Equinorm: Features: 0.024701034650206566, Weights: 0.025257807224988937
NC2 Equiangle: Features: 0.30242443084716797, Weights: 0.11288620034853618
NC3 Self-Duality: 0.2253533899784088
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.139851570129395
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 8.190114974975586
Linear Weight Rank: 179
Intra Cos: 0.08003676682710648
Inter Cos: 0.0071024163626134396
Norm Quadratic Average: 14.06437873840332
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.187701225280762
Linear Weight Rank: 179
Intra Cos: 0.10861972719430923
Inter Cos: 0.0029766778461635113
Norm Quadratic Average: 14.109440803527832
Nearest Class Center Accuracy: 0.894

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116840362548828
Linear Weight Rank: 180
Intra Cos: 0.12844352424144745
Inter Cos: 0.009079704992473125
Norm Quadratic Average: 14.010723114013672
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.119128227233887
Linear Weight Rank: 179
Intra Cos: 0.1719067096710205
Inter Cos: -0.009517100639641285
Norm Quadratic Average: 13.907951354980469
Nearest Class Center Accuracy: 0.912

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469246864318848
Linear Weight Rank: 4
Intra Cos: 0.27834582328796387
Inter Cos: -0.026067383587360382
Norm Quadratic Average: 13.9158353805542
Nearest Class Center Accuracy: 0.9075

Output Layer:
Intra Cos: 0.749808669090271
Inter Cos: -0.01850895956158638
Norm Quadratic Average: 11.832714080810547
Nearest Class Center Accuracy: 0.907

