Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_3_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.749945640563965
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 5.706525802612305
Linear Weight Rank: 179
Intra Cos: 0.10595941543579102
Inter Cos: 0.0058642905205488205
Norm Quadratic Average: 9.869153022766113
Nearest Class Center Accuracy: 0.92475

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.792229413986206
Linear Weight Rank: 4
Intra Cos: 0.3282604217529297
Inter Cos: -0.013665633276104927
Norm Quadratic Average: 10.149148941040039
Nearest Class Center Accuracy: 0.99725

Output Layer:
Intra Cos: 0.8341655135154724
Inter Cos: -0.00207403302192688
Norm Quadratic Average: 11.965216636657715
Nearest Class Center Accuracy: 0.998125

Test Set:
Average Loss: 0.11185415887832642
Accuracy: 0.959
NC1 Within Class Collapse: 1.6168556213378906
NC2 Equinorm: Features: 0.03190094232559204, Weights: 0.01912647671997547
NC2 Equiangle: Features: 0.36551253000895184, Weights: 0.2626656691233317
NC3 Self-Duality: 0.11253765225410461
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.749945640563965
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 5.706525802612305
Linear Weight Rank: 179
Intra Cos: 0.10401506721973419
Inter Cos: 0.005307688377797604
Norm Quadratic Average: 9.868559837341309
Nearest Class Center Accuracy: 0.924

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.792229413986206
Linear Weight Rank: 4
Intra Cos: 0.3124014437198639
Inter Cos: -0.0006285616545937955
Norm Quadratic Average: 10.164732933044434
Nearest Class Center Accuracy: 0.9595

Output Layer:
Intra Cos: 0.7913093566894531
Inter Cos: 0.0340365394949913
Norm Quadratic Average: 12.01376724243164
Nearest Class Center Accuracy: 0.9615

