Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.7131853103637695
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 6.788016319274902
Linear Weight Rank: 179
Intra Cos: 0.1384592205286026
Inter Cos: 0.011034289374947548
Norm Quadratic Average: 4.160754203796387
Nearest Class Center Accuracy: 0.945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.807657241821289
Linear Weight Rank: 179
Intra Cos: 0.527506411075592
Inter Cos: 0.02999940514564514
Norm Quadratic Average: 3.1632704734802246
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.776122093200684
Linear Weight Rank: 179
Intra Cos: 0.6634027361869812
Inter Cos: 0.06694499403238297
Norm Quadratic Average: 4.3624491691589355
Nearest Class Center Accuracy: 0.950375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.80060338973999
Linear Weight Rank: 179
Intra Cos: 0.6725437045097351
Inter Cos: 0.09285223484039307
Norm Quadratic Average: 6.340310096740723
Nearest Class Center Accuracy: 0.94325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.768432140350342
Linear Weight Rank: 4
Intra Cos: 0.6824678182601929
Inter Cos: 0.09504827857017517
Norm Quadratic Average: 9.02564811706543
Nearest Class Center Accuracy: 0.947625

Output Layer:
Intra Cos: 0.7593955397605896
Inter Cos: 0.0820913314819336
Norm Quadratic Average: 15.823575973510742
Nearest Class Center Accuracy: 0.95175

Test Set:
Average Loss: 0.07193243098258972
Accuracy: 0.978
NC1 Within Class Collapse: 1.3456969261169434
NC2 Equinorm: Features: 0.06976930052042007, Weights: 0.05749648064374924
NC2 Equiangle: Features: 0.4306674798329671, Weights: 0.37514710426330566
NC3 Self-Duality: 0.11369315534830093
NC4 NCC Mismatch: 0.061000000000000054

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.7131853103637695
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.788016319274902
Linear Weight Rank: 179
Intra Cos: 0.1357601135969162
Inter Cos: 0.011226431466639042
Norm Quadratic Average: 4.16439151763916
Nearest Class Center Accuracy: 0.935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.807657241821289
Linear Weight Rank: 179
Intra Cos: 0.5183863043785095
Inter Cos: 0.04668617248535156
Norm Quadratic Average: 3.1984763145446777
Nearest Class Center Accuracy: 0.947

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.776122093200684
Linear Weight Rank: 179
Intra Cos: 0.6657882332801819
Inter Cos: 0.0939287394285202
Norm Quadratic Average: 4.413692474365234
Nearest Class Center Accuracy: 0.9395

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.80060338973999
Linear Weight Rank: 179
Intra Cos: 0.6785175800323486
Inter Cos: 0.11984811723232269
Norm Quadratic Average: 6.412311553955078
Nearest Class Center Accuracy: 0.932

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.768432140350342
Linear Weight Rank: 4
Intra Cos: 0.669350802898407
Inter Cos: 0.11922159045934677
Norm Quadratic Average: 9.123674392700195
Nearest Class Center Accuracy: 0.938

Output Layer:
Intra Cos: 0.7460153102874756
Inter Cos: 0.1097700446844101
Norm Quadratic Average: 15.93569564819336
Nearest Class Center Accuracy: 0.947

