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_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.896965503692627
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 5.9170451164245605
Linear Weight Rank: 179
Intra Cos: 0.0743388757109642
Inter Cos: 0.004913393408060074
Norm Quadratic Average: 10.14139461517334
Nearest Class Center Accuracy: 0.875875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.87491512298584
Linear Weight Rank: 179
Intra Cos: 0.10950088500976562
Inter Cos: 0.004222610965371132
Norm Quadratic Average: 10.095077514648438
Nearest Class Center Accuracy: 0.921

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.89166784286499
Linear Weight Rank: 179
Intra Cos: 0.14171168208122253
Inter Cos: 0.0038789797108620405
Norm Quadratic Average: 10.081306457519531
Nearest Class Center Accuracy: 0.955875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.849501609802246
Linear Weight Rank: 179
Intra Cos: 0.17313817143440247
Inter Cos: -0.0056279683485627174
Norm Quadratic Average: 10.064370155334473
Nearest Class Center Accuracy: 0.982

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844453811645508
Linear Weight Rank: 179
Intra Cos: 0.21402816474437714
Inter Cos: -0.0018708865391090512
Norm Quadratic Average: 10.037997245788574
Nearest Class Center Accuracy: 0.99425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.860378265380859
Linear Weight Rank: 180
Intra Cos: 0.2667514383792877
Inter Cos: -0.017142251133918762
Norm Quadratic Average: 10.006019592285156
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.842769622802734
Linear Weight Rank: 179
Intra Cos: 0.3870235085487366
Inter Cos: -0.05359531193971634
Norm Quadratic Average: 10.012409210205078
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7690768241882324
Linear Weight Rank: 4
Intra Cos: 0.595188558101654
Inter Cos: -0.14457738399505615
Norm Quadratic Average: 10.155027389526367
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9760714769363403
Inter Cos: -0.20656323432922363
Norm Quadratic Average: 7.672980308532715
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2919846258163452
Accuracy: 0.8985
NC1 Within Class Collapse: 1.0003143548965454
NC2 Equinorm: Features: 0.011439014226198196, Weights: 0.017472783103585243
NC2 Equiangle: Features: 0.1946518818537394, Weights: 0.07020392020543416
NC3 Self-Duality: 0.19739298522472382
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.896965503692627
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 5.9170451164245605
Linear Weight Rank: 179
Intra Cos: 0.07300755381584167
Inter Cos: 0.00523651298135519
Norm Quadratic Average: 10.132424354553223
Nearest Class Center Accuracy: 0.883

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.87491512298584
Linear Weight Rank: 179
Intra Cos: 0.10737216472625732
Inter Cos: 0.0044633615761995316
Norm Quadratic Average: 10.086119651794434
Nearest Class Center Accuracy: 0.9055

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.89166784286499
Linear Weight Rank: 179
Intra Cos: 0.1310575008392334
Inter Cos: -0.0035297409631311893
Norm Quadratic Average: 10.066062927246094
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.849501609802246
Linear Weight Rank: 179
Intra Cos: 0.16325220465660095
Inter Cos: -0.0021292855963110924
Norm Quadratic Average: 10.040779113769531
Nearest Class Center Accuracy: 0.908

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844453811645508
Linear Weight Rank: 179
Intra Cos: 0.18394345045089722
Inter Cos: 0.0046056411229074
Norm Quadratic Average: 9.970924377441406
Nearest Class Center Accuracy: 0.91

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.860378265380859
Linear Weight Rank: 180
Intra Cos: 0.21933513879776
Inter Cos: -0.0032299261074513197
Norm Quadratic Average: 9.874920845031738
Nearest Class Center Accuracy: 0.906

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.842769622802734
Linear Weight Rank: 179
Intra Cos: 0.28066110610961914
Inter Cos: -0.02582286112010479
Norm Quadratic Average: 9.760324478149414
Nearest Class Center Accuracy: 0.9045

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7690768241882324
Linear Weight Rank: 4
Intra Cos: 0.4262602627277374
Inter Cos: -0.06260789930820465
Norm Quadratic Average: 9.556351661682129
Nearest Class Center Accuracy: 0.902

Output Layer:
Intra Cos: 0.7398338317871094
Inter Cos: -0.08839740604162216
Norm Quadratic Average: 6.9373626708984375
Nearest Class Center Accuracy: 0.9

