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_338327_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.886204242706299
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.933705806732178
Linear Weight Rank: 180
Intra Cos: 0.0728757306933403
Inter Cos: 0.002717939205467701
Norm Quadratic Average: 10.0947904586792
Nearest Class Center Accuracy: 0.860625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.882354259490967
Linear Weight Rank: 180
Intra Cos: 0.11061529070138931
Inter Cos: 0.0033234129659831524
Norm Quadratic Average: 10.08360767364502
Nearest Class Center Accuracy: 0.92075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853758335113525
Linear Weight Rank: 180
Intra Cos: 0.1376323401927948
Inter Cos: 0.007587055675685406
Norm Quadratic Average: 10.065662384033203
Nearest Class Center Accuracy: 0.944

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.856443405151367
Linear Weight Rank: 180
Intra Cos: 0.1586906760931015
Inter Cos: 0.00859164074063301
Norm Quadratic Average: 10.038153648376465
Nearest Class Center Accuracy: 0.96925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853475093841553
Linear Weight Rank: 180
Intra Cos: 0.1906321495771408
Inter Cos: -0.008176170289516449
Norm Quadratic Average: 10.004110336303711
Nearest Class Center Accuracy: 0.9895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.835522174835205
Linear Weight Rank: 180
Intra Cos: 0.2617511451244354
Inter Cos: -0.019125891849398613
Norm Quadratic Average: 9.987683296203613
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.849114894866943
Linear Weight Rank: 179
Intra Cos: 0.3770659863948822
Inter Cos: -0.054508376866579056
Norm Quadratic Average: 9.964269638061523
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7565768957138062
Linear Weight Rank: 4
Intra Cos: 0.5888038873672485
Inter Cos: -0.1508941352367401
Norm Quadratic Average: 10.116267204284668
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9773737788200378
Inter Cos: -0.19948437809944153
Norm Quadratic Average: 7.695089340209961
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3268653726577759
Accuracy: 0.878
NC1 Within Class Collapse: 1.0680184364318848
NC2 Equinorm: Features: 0.01211118046194315, Weights: 0.04279198497533798
NC2 Equiangle: Features: 0.20125865936279297, Weights: 0.07306861877441406
NC3 Self-Duality: 0.18294614553451538
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.886204242706299
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 5.933705806732178
Linear Weight Rank: 180
Intra Cos: 0.07487765699625015
Inter Cos: 0.004056797828525305
Norm Quadratic Average: 10.087491035461426
Nearest Class Center Accuracy: 0.8555

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.882354259490967
Linear Weight Rank: 180
Intra Cos: 0.10879535228013992
Inter Cos: 0.00666633527725935
Norm Quadratic Average: 10.085500717163086
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853758335113525
Linear Weight Rank: 180
Intra Cos: 0.12938450276851654
Inter Cos: 0.012015641666948795
Norm Quadratic Average: 10.065315246582031
Nearest Class Center Accuracy: 0.8975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.856443405151367
Linear Weight Rank: 180
Intra Cos: 0.1496463418006897
Inter Cos: 0.012459149584174156
Norm Quadratic Average: 10.016037940979004
Nearest Class Center Accuracy: 0.895

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853475093841553
Linear Weight Rank: 180
Intra Cos: 0.17025695741176605
Inter Cos: -0.0012237911578267813
Norm Quadratic Average: 9.936476707458496
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.835522174835205
Linear Weight Rank: 180
Intra Cos: 0.2147950828075409
Inter Cos: -0.007255970500409603
Norm Quadratic Average: 9.841094970703125
Nearest Class Center Accuracy: 0.8985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.849114894866943
Linear Weight Rank: 179
Intra Cos: 0.28883248567581177
Inter Cos: -0.022733068093657494
Norm Quadratic Average: 9.691672325134277
Nearest Class Center Accuracy: 0.8855

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7565768957138062
Linear Weight Rank: 4
Intra Cos: 0.42367157340049744
Inter Cos: -0.06567703932523727
Norm Quadratic Average: 9.467493057250977
Nearest Class Center Accuracy: 0.877

Output Layer:
Intra Cos: 0.7115442156791687
Inter Cos: -0.08711779862642288
Norm Quadratic Average: 6.918219089508057
Nearest Class Center Accuracy: 0.8805

