Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.076760292053223
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.254908561706543
Linear Weight Rank: 180
Intra Cos: 0.012868679128587246
Inter Cos: 0.004660980775952339
Norm Quadratic Average: 13.935924530029297
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.213927268981934
Linear Weight Rank: 179
Intra Cos: 0.011278113350272179
Inter Cos: 0.002807500073686242
Norm Quadratic Average: 13.932281494140625
Nearest Class Center Accuracy: 0.484

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.097874641418457
Linear Weight Rank: 180
Intra Cos: 0.013972881250083447
Inter Cos: 0.0025821286253631115
Norm Quadratic Average: 13.910014152526855
Nearest Class Center Accuracy: 0.566375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05671215057373
Linear Weight Rank: 179
Intra Cos: 0.0272445660084486
Inter Cos: -0.002350927097722888
Norm Quadratic Average: 13.865747451782227
Nearest Class Center Accuracy: 0.809375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.273660659790039
Linear Weight Rank: 4
Intra Cos: 0.11826786398887634
Inter Cos: -0.028762614354491234
Norm Quadratic Average: 14.214120864868164
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8631114959716797
Inter Cos: -0.20561839640140533
Norm Quadratic Average: 9.905868530273438
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.358540168762207
Accuracy: 0.512
NC1 Within Class Collapse: 12.378177642822266
NC2 Equinorm: Features: 0.06064314395189285, Weights: 0.028205079957842827
NC2 Equiangle: Features: 0.2419755458831787, Weights: 0.046721567710240684
NC3 Self-Duality: 0.35322511196136475
NC4 NCC Mismatch: 0.15300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.076760292053223
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.254908561706543
Linear Weight Rank: 180
Intra Cos: 0.014275521039962769
Inter Cos: 0.004645421635359526
Norm Quadratic Average: 13.88830280303955
Nearest Class Center Accuracy: 0.4545

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.213927268981934
Linear Weight Rank: 179
Intra Cos: 0.010609184391796589
Inter Cos: 0.0029861012008041143
Norm Quadratic Average: 13.922440528869629
Nearest Class Center Accuracy: 0.4905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.097874641418457
Linear Weight Rank: 180
Intra Cos: 0.009676962159574032
Inter Cos: 0.0033546513877809048
Norm Quadratic Average: 13.915470123291016
Nearest Class Center Accuracy: 0.4895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05671215057373
Linear Weight Rank: 179
Intra Cos: 0.00988379679620266
Inter Cos: 0.001749961287714541
Norm Quadratic Average: 13.86763858795166
Nearest Class Center Accuracy: 0.5155

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.273660659790039
Linear Weight Rank: 4
Intra Cos: 0.020574379712343216
Inter Cos: 0.003346408484503627
Norm Quadratic Average: 13.850425720214844
Nearest Class Center Accuracy: 0.5475

Output Layer:
Intra Cos: 0.14413076639175415
Inter Cos: 0.009757917374372482
Norm Quadratic Average: 8.308916091918945
Nearest Class Center Accuracy: 0.515

