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_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.220199584960938
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.295985221862793
Linear Weight Rank: 180
Intra Cos: 0.012563968077301979
Inter Cos: 0.005608768668025732
Norm Quadratic Average: 14.059510231018066
Nearest Class Center Accuracy: 0.46225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.232075691223145
Linear Weight Rank: 179
Intra Cos: 0.010541574098169804
Inter Cos: 0.00410528713837266
Norm Quadratic Average: 14.027938842773438
Nearest Class Center Accuracy: 0.48275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.226966857910156
Linear Weight Rank: 180
Intra Cos: 0.012105564586818218
Inter Cos: -0.00010915560415014625
Norm Quadratic Average: 13.959203720092773
Nearest Class Center Accuracy: 0.549125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.136783599853516
Linear Weight Rank: 179
Intra Cos: 0.02456621266901493
Inter Cos: -0.00372616620734334
Norm Quadratic Average: 13.941401481628418
Nearest Class Center Accuracy: 0.797375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.288952589035034
Linear Weight Rank: 4
Intra Cos: 0.11702508479356766
Inter Cos: -0.021963290870189667
Norm Quadratic Average: 14.336959838867188
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8649560809135437
Inter Cos: -0.16666197776794434
Norm Quadratic Average: 10.037917137145996
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.392162078857422
Accuracy: 0.4955
NC1 Within Class Collapse: 13.019742012023926
NC2 Equinorm: Features: 0.06004584580659866, Weights: 0.022061903029680252
NC2 Equiangle: Features: 0.2544775406519572, Weights: 0.0417239119609197
NC3 Self-Duality: 0.3364239037036896
NC4 NCC Mismatch: 0.14249999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.220199584960938
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
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: 8.295985221862793
Linear Weight Rank: 180
Intra Cos: 0.012199468910694122
Inter Cos: 0.004945609252899885
Norm Quadratic Average: 13.996843338012695
Nearest Class Center Accuracy: 0.4585

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.232075691223145
Linear Weight Rank: 179
Intra Cos: 0.010512281209230423
Inter Cos: 0.004447540268301964
Norm Quadratic Average: 13.94105052947998
Nearest Class Center Accuracy: 0.4915

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.226966857910156
Linear Weight Rank: 180
Intra Cos: 0.007641308940947056
Inter Cos: 0.0012379609979689121
Norm Quadratic Average: 13.908541679382324
Nearest Class Center Accuracy: 0.497

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.136783599853516
Linear Weight Rank: 179
Intra Cos: 0.007886526174843311
Inter Cos: 3.246814594604075e-05
Norm Quadratic Average: 13.872167587280273
Nearest Class Center Accuracy: 0.5135

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.288952589035034
Linear Weight Rank: 4
Intra Cos: 0.016637612134218216
Inter Cos: 0.002832581289112568
Norm Quadratic Average: 13.888935089111328
Nearest Class Center Accuracy: 0.5295

Output Layer:
Intra Cos: 0.13145969808101654
Inter Cos: 0.025604860857129097
Norm Quadratic Average: 8.262825965881348
Nearest Class Center Accuracy: 0.4935

