Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_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: 8.2213716506958
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: 8.254749298095703
Linear Weight Rank: 180
Intra Cos: 0.06366582959890366
Inter Cos: 0.004199209623038769
Norm Quadratic Average: 14.114535331726074
Nearest Class Center Accuracy: 0.859

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.200043678283691
Linear Weight Rank: 179
Intra Cos: 0.09317412227392197
Inter Cos: 0.003944903612136841
Norm Quadratic Average: 14.076866149902344
Nearest Class Center Accuracy: 0.899875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.155903816223145
Linear Weight Rank: 180
Intra Cos: 0.11394989490509033
Inter Cos: 0.002049816772341728
Norm Quadratic Average: 14.030488967895508
Nearest Class Center Accuracy: 0.936125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.158489227294922
Linear Weight Rank: 180
Intra Cos: 0.13523346185684204
Inter Cos: 0.004993105307221413
Norm Quadratic Average: 14.021218299865723
Nearest Class Center Accuracy: 0.9655

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14079761505127
Linear Weight Rank: 179
Intra Cos: 0.16818810999393463
Inter Cos: -0.006610034499317408
Norm Quadratic Average: 13.992463111877441
Nearest Class Center Accuracy: 0.988625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.141768455505371
Linear Weight Rank: 179
Intra Cos: 0.22125613689422607
Inter Cos: -0.012190941721200943
Norm Quadratic Average: 13.933452606201172
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128110885620117
Linear Weight Rank: 179
Intra Cos: 0.28752195835113525
Inter Cos: -0.030621420592069626
Norm Quadratic Average: 13.920245170593262
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0820982456207275
Linear Weight Rank: 4
Intra Cos: 0.4581419825553894
Inter Cos: -0.09302235394716263
Norm Quadratic Average: 14.056113243103027
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9532361626625061
Inter Cos: -0.14869874715805054
Norm Quadratic Average: 11.008245468139648
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3617003993988037
Accuracy: 0.8865
NC1 Within Class Collapse: 1.2159940004348755
NC2 Equinorm: Features: 0.019476929679512978, Weights: 0.025348657742142677
NC2 Equiangle: Features: 0.22887027263641357, Weights: 0.12106223901112874
NC3 Self-Duality: 0.24619412422180176
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.2213716506958
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 8.254749298095703
Linear Weight Rank: 180
Intra Cos: 0.0621332973241806
Inter Cos: 0.0024572154507040977
Norm Quadratic Average: 14.092552185058594
Nearest Class Center Accuracy: 0.866

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.200043678283691
Linear Weight Rank: 179
Intra Cos: 0.0895044282078743
Inter Cos: 0.004092477262020111
Norm Quadratic Average: 14.053600311279297
Nearest Class Center Accuracy: 0.8825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.155903816223145
Linear Weight Rank: 180
Intra Cos: 0.10619749128818512
Inter Cos: -0.0025487549137324095
Norm Quadratic Average: 14.048072814941406
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.158489227294922
Linear Weight Rank: 180
Intra Cos: 0.12125956267118454
Inter Cos: 0.007567661814391613
Norm Quadratic Average: 13.990168571472168
Nearest Class Center Accuracy: 0.8865

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14079761505127
Linear Weight Rank: 179
Intra Cos: 0.14301936328411102
Inter Cos: -0.0018391612684354186
Norm Quadratic Average: 13.929170608520508
Nearest Class Center Accuracy: 0.898

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.141768455505371
Linear Weight Rank: 179
Intra Cos: 0.17483258247375488
Inter Cos: -0.00027545186458155513
Norm Quadratic Average: 13.811769485473633
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128110885620117
Linear Weight Rank: 179
Intra Cos: 0.22036641836166382
Inter Cos: -0.006226779893040657
Norm Quadratic Average: 13.65178394317627
Nearest Class Center Accuracy: 0.892

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0820982456207275
Linear Weight Rank: 4
Intra Cos: 0.3214866816997528
Inter Cos: -0.03820781037211418
Norm Quadratic Average: 13.418699264526367
Nearest Class Center Accuracy: 0.889

Output Layer:
Intra Cos: 0.7084198594093323
Inter Cos: -0.04693674296140671
Norm Quadratic Average: 10.049978256225586
Nearest Class Center Accuracy: 0.89

