Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.163335800170898
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 6.1980366706848145
Linear Weight Rank: 180
Intra Cos: 0.14656998217105865
Inter Cos: 0.0023314994759857655
Norm Quadratic Average: 3.7783291339874268
Nearest Class Center Accuracy: 0.94375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.1909871101379395
Linear Weight Rank: 179
Intra Cos: 0.5571326017379761
Inter Cos: 0.022469358518719673
Norm Quadratic Average: 2.876319169998169
Nearest Class Center Accuracy: 0.97075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.198507308959961
Linear Weight Rank: 179
Intra Cos: 0.7003551721572876
Inter Cos: 0.034428808838129044
Norm Quadratic Average: 3.8753061294555664
Nearest Class Center Accuracy: 0.974125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.236616611480713
Linear Weight Rank: 179
Intra Cos: 0.7297489047050476
Inter Cos: 0.036604948341846466
Norm Quadratic Average: 5.467914581298828
Nearest Class Center Accuracy: 0.977875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.731534957885742
Linear Weight Rank: 4
Intra Cos: 0.7529011964797974
Inter Cos: 0.053894542157649994
Norm Quadratic Average: 7.593621253967285
Nearest Class Center Accuracy: 0.9825

Output Layer:
Intra Cos: 0.8278646469116211
Inter Cos: 0.09070369601249695
Norm Quadratic Average: 13.401954650878906
Nearest Class Center Accuracy: 0.98025

Test Set:
Average Loss: 0.08034376955032349
Accuracy: 0.976
NC1 Within Class Collapse: 1.405774712562561
NC2 Equinorm: Features: 0.050444431602954865, Weights: 0.060396939516067505
NC2 Equiangle: Features: 0.43315911293029785, Weights: 0.3850064277648926
NC3 Self-Duality: 0.07528471201658249
NC4 NCC Mismatch: 0.02400000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.163335800170898
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.1980366706848145
Linear Weight Rank: 180
Intra Cos: 0.15007656812667847
Inter Cos: 0.008776729926466942
Norm Quadratic Average: 3.7796759605407715
Nearest Class Center Accuracy: 0.9395

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.1909871101379395
Linear Weight Rank: 179
Intra Cos: 0.5672212839126587
Inter Cos: 0.043520648032426834
Norm Quadratic Average: 2.9040215015411377
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.198507308959961
Linear Weight Rank: 179
Intra Cos: 0.7064345479011536
Inter Cos: 0.05675110965967178
Norm Quadratic Average: 3.914328098297119
Nearest Class Center Accuracy: 0.958

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.236616611480713
Linear Weight Rank: 179
Intra Cos: 0.7240337133407593
Inter Cos: 0.056335024535655975
Norm Quadratic Average: 5.517057418823242
Nearest Class Center Accuracy: 0.964

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.731534957885742
Linear Weight Rank: 4
Intra Cos: 0.7398968935012817
Inter Cos: 0.0728914737701416
Norm Quadratic Average: 7.6530561447143555
Nearest Class Center Accuracy: 0.9655

Output Layer:
Intra Cos: 0.8161486983299255
Inter Cos: 0.11489144712686539
Norm Quadratic Average: 13.476634979248047
Nearest Class Center Accuracy: 0.9705

