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_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.1386079788208
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: 8.136280059814453
Linear Weight Rank: 179
Intra Cos: 0.06636586040258408
Inter Cos: 0.004808644764125347
Norm Quadratic Average: 13.965692520141602
Nearest Class Center Accuracy: 0.865375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095771789550781
Linear Weight Rank: 179
Intra Cos: 0.10404982417821884
Inter Cos: 0.0018309364095330238
Norm Quadratic Average: 13.943805694580078
Nearest Class Center Accuracy: 0.918125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054913520812988
Linear Weight Rank: 179
Intra Cos: 0.1308583915233612
Inter Cos: -0.00304242130368948
Norm Quadratic Average: 13.91395092010498
Nearest Class Center Accuracy: 0.959

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064559936523438
Linear Weight Rank: 179
Intra Cos: 0.1896204799413681
Inter Cos: -0.00853472389280796
Norm Quadratic Average: 13.858855247497559
Nearest Class Center Accuracy: 0.997625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.435129165649414
Linear Weight Rank: 4
Intra Cos: 0.37135952711105347
Inter Cos: -0.04543864354491234
Norm Quadratic Average: 13.96793270111084
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9134860634803772
Inter Cos: -0.08082425594329834
Norm Quadratic Average: 12.290216445922852
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2714713706970215
Accuracy: 0.898
NC1 Within Class Collapse: 1.3701903820037842
NC2 Equinorm: Features: 0.030002819374203682, Weights: 0.020227041095495224
NC2 Equiangle: Features: 0.29384875297546387, Weights: 0.1283110777537028
NC3 Self-Duality: 0.2069154679775238
NC4 NCC Mismatch: 0.028000000000000025

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.1386079788208
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: 8.136280059814453
Linear Weight Rank: 179
Intra Cos: 0.06476243585348129
Inter Cos: 0.0023280256427824497
Norm Quadratic Average: 13.947173118591309
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095771789550781
Linear Weight Rank: 179
Intra Cos: 0.09904251247644424
Inter Cos: 0.0036762922536581755
Norm Quadratic Average: 13.917815208435059
Nearest Class Center Accuracy: 0.9

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.054913520812988
Linear Weight Rank: 179
Intra Cos: 0.11670560389757156
Inter Cos: 0.004641080740839243
Norm Quadratic Average: 13.93574333190918
Nearest Class Center Accuracy: 0.8915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064559936523438
Linear Weight Rank: 179
Intra Cos: 0.15788893401622772
Inter Cos: -0.005574778653681278
Norm Quadratic Average: 13.870884895324707
Nearest Class Center Accuracy: 0.8985

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.435129165649414
Linear Weight Rank: 4
Intra Cos: 0.28612494468688965
Inter Cos: -0.021531160920858383
Norm Quadratic Average: 13.805919647216797
Nearest Class Center Accuracy: 0.909

Output Layer:
Intra Cos: 0.7334932684898376
Inter Cos: -0.03147955611348152
Norm Quadratic Average: 11.895316123962402
Nearest Class Center Accuracy: 0.9085

