Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.170093536376953
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 8.105151176452637
Linear Weight Rank: 180
Intra Cos: 0.07530137896537781
Inter Cos: 0.0027398697566241026
Norm Quadratic Average: 13.947580337524414
Nearest Class Center Accuracy: 0.87025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06371784210205
Linear Weight Rank: 180
Intra Cos: 0.11336708813905716
Inter Cos: 0.0031593460589647293
Norm Quadratic Average: 13.922651290893555
Nearest Class Center Accuracy: 0.92425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.075757026672363
Linear Weight Rank: 180
Intra Cos: 0.1396763175725937
Inter Cos: -0.0013153910404071212
Norm Quadratic Average: 13.918048858642578
Nearest Class Center Accuracy: 0.95725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.040875434875488
Linear Weight Rank: 180
Intra Cos: 0.2001708447933197
Inter Cos: -0.011205784976482391
Norm Quadratic Average: 13.876522064208984
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4049320220947266
Linear Weight Rank: 4
Intra Cos: 0.363611102104187
Inter Cos: -0.04658219963312149
Norm Quadratic Average: 13.989941596984863
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9161966443061829
Inter Cos: -0.08069314807653427
Norm Quadratic Average: 12.125228881835938
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2875512571334839
Accuracy: 0.896
NC1 Within Class Collapse: 1.303110957145691
NC2 Equinorm: Features: 0.01983891800045967, Weights: 0.030015576630830765
NC2 Equiangle: Features: 0.28892962137858075, Weights: 0.11873015761375427
NC3 Self-Duality: 0.21416206657886505
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.170093536376953
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
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: 8.105151176452637
Linear Weight Rank: 180
Intra Cos: 0.0762418881058693
Inter Cos: 0.0031103629153221846
Norm Quadratic Average: 13.922558784484863
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06371784210205
Linear Weight Rank: 180
Intra Cos: 0.10981062799692154
Inter Cos: -0.0014496599324047565
Norm Quadratic Average: 13.953506469726562
Nearest Class Center Accuracy: 0.906

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.075757026672363
Linear Weight Rank: 180
Intra Cos: 0.12761129438877106
Inter Cos: 0.004733300767838955
Norm Quadratic Average: 13.970908164978027
Nearest Class Center Accuracy: 0.892

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.040875434875488
Linear Weight Rank: 180
Intra Cos: 0.17001911997795105
Inter Cos: 0.00019438168965280056
Norm Quadratic Average: 13.918498992919922
Nearest Class Center Accuracy: 0.9095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4049320220947266
Linear Weight Rank: 4
Intra Cos: 0.275290310382843
Inter Cos: -0.028568292036652565
Norm Quadratic Average: 13.891596794128418
Nearest Class Center Accuracy: 0.904

Output Layer:
Intra Cos: 0.7415195107460022
Inter Cos: -0.03646763786673546
Norm Quadratic Average: 11.804243087768555
Nearest Class Center Accuracy: 0.901

