Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1128082275390625
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 5.131853103637695
Linear Weight Rank: 179
Intra Cos: 0.07051754742860794
Inter Cos: 0.0051404316909611225
Norm Quadratic Average: 8.765035629272461
Nearest Class Center Accuracy: 0.873625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.094788074493408
Linear Weight Rank: 179
Intra Cos: 0.11645995825529099
Inter Cos: 0.0012063400354236364
Norm Quadratic Average: 8.747092247009277
Nearest Class Center Accuracy: 0.931125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060366153717041
Linear Weight Rank: 179
Intra Cos: 0.15555943548679352
Inter Cos: 0.00177276274189353
Norm Quadratic Average: 8.72649097442627
Nearest Class Center Accuracy: 0.967625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.063365459442139
Linear Weight Rank: 179
Intra Cos: 0.24884745478630066
Inter Cos: -0.012907271273434162
Norm Quadratic Average: 8.68479061126709
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9938902854919434
Linear Weight Rank: 4
Intra Cos: 0.5588343739509583
Inter Cos: -0.09058989584445953
Norm Quadratic Average: 8.849395751953125
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.95118248462677
Inter Cos: -0.1346428543329239
Norm Quadratic Average: 7.538388729095459
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.23780962133407593
Accuracy: 0.902
NC1 Within Class Collapse: 1.088104009628296
NC2 Equinorm: Features: 0.02659965306520462, Weights: 0.018546288833022118
NC2 Equiangle: Features: 0.2456770340601603, Weights: 0.07808722058931987
NC3 Self-Duality: 0.16702581942081451
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.1128082275390625
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.131853103637695
Linear Weight Rank: 179
Intra Cos: 0.06897912919521332
Inter Cos: 0.002196711953729391
Norm Quadratic Average: 8.754485130310059
Nearest Class Center Accuracy: 0.878

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.094788074493408
Linear Weight Rank: 179
Intra Cos: 0.1106526255607605
Inter Cos: 0.0062402295880019665
Norm Quadratic Average: 8.735843658447266
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060366153717041
Linear Weight Rank: 179
Intra Cos: 0.13819602131843567
Inter Cos: 0.009991899132728577
Norm Quadratic Average: 8.740547180175781
Nearest Class Center Accuracy: 0.9025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.063365459442139
Linear Weight Rank: 179
Intra Cos: 0.2017795294523239
Inter Cos: -0.004063144326210022
Norm Quadratic Average: 8.670812606811523
Nearest Class Center Accuracy: 0.9095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9938902854919434
Linear Weight Rank: 4
Intra Cos: 0.4133335053920746
Inter Cos: -0.04094022884964943
Norm Quadratic Average: 8.586263656616211
Nearest Class Center Accuracy: 0.91

Output Layer:
Intra Cos: 0.7443074584007263
Inter Cos: -0.053121864795684814
Norm Quadratic Average: 7.11428165435791
Nearest Class Center Accuracy: 0.909

