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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.216708183288574
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: 8.214430809020996
Linear Weight Rank: 179
Intra Cos: 0.06628556549549103
Inter Cos: 0.004742037504911423
Norm Quadratic Average: 14.100439071655273
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.173705101013184
Linear Weight Rank: 179
Intra Cos: 0.1034947857260704
Inter Cos: 0.002014713129028678
Norm Quadratic Average: 14.07850170135498
Nearest Class Center Accuracy: 0.918375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13244342803955
Linear Weight Rank: 179
Intra Cos: 0.13044075667858124
Inter Cos: -0.0024060974828898907
Norm Quadratic Average: 14.044835090637207
Nearest Class Center Accuracy: 0.9595

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142295837402344
Linear Weight Rank: 179
Intra Cos: 0.1876293569803238
Inter Cos: -0.009041002951562405
Norm Quadratic Average: 13.990490913391113
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469354152679443
Linear Weight Rank: 4
Intra Cos: 0.36869263648986816
Inter Cos: -0.04520465061068535
Norm Quadratic Average: 14.099859237670898
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9127649664878845
Inter Cos: -0.07654488831758499
Norm Quadratic Average: 12.423479080200195
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2715023965835571
Accuracy: 0.9
NC1 Within Class Collapse: 1.3727214336395264
NC2 Equinorm: Features: 0.03115486167371273, Weights: 0.019949380308389664
NC2 Equiangle: Features: 0.2949184974034627, Weights: 0.12897124886512756
NC3 Self-Duality: 0.20763376355171204
NC4 NCC Mismatch: 0.026499999999999968

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.216708183288574
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: 8.214430809020996
Linear Weight Rank: 179
Intra Cos: 0.06470423191785812
Inter Cos: 0.0023864551912993193
Norm Quadratic Average: 14.08183765411377
Nearest Class Center Accuracy: 0.87

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.173705101013184
Linear Weight Rank: 179
Intra Cos: 0.09858059883117676
Inter Cos: 0.0037051388062536716
Norm Quadratic Average: 14.05498218536377
Nearest Class Center Accuracy: 0.897

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13244342803955
Linear Weight Rank: 179
Intra Cos: 0.11648523062467575
Inter Cos: 0.00551796518266201
Norm Quadratic Average: 14.069940567016602
Nearest Class Center Accuracy: 0.889

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142295837402344
Linear Weight Rank: 179
Intra Cos: 0.15600112080574036
Inter Cos: -0.005264178849756718
Norm Quadratic Average: 14.0081205368042
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4469354152679443
Linear Weight Rank: 4
Intra Cos: 0.28336101770401
Inter Cos: -0.021791433915495872
Norm Quadratic Average: 13.938490867614746
Nearest Class Center Accuracy: 0.9135

Output Layer:
Intra Cos: 0.7318490147590637
Inter Cos: -0.027228914201259613
Norm Quadratic Average: 12.02640438079834
Nearest Class Center Accuracy: 0.9085

