Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.43930721282958984
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 0.44382062554359436
Linear Weight Rank: 169
Intra Cos: 0.32350069284439087
Inter Cos: 0.08442950248718262
Norm Quadratic Average: 0.3800011873245239
Nearest Class Center Accuracy: 0.80125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.35185953974723816
Linear Weight Rank: 170
Intra Cos: 0.6394611597061157
Inter Cos: 0.16207487881183624
Norm Quadratic Average: 0.1974826157093048
Nearest Class Center Accuracy: 0.971625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4167199432849884
Linear Weight Rank: 168
Intra Cos: 0.9626284241676331
Inter Cos: 0.11263738572597504
Norm Quadratic Average: 0.23534268140792847
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6052412986755371
Linear Weight Rank: 163
Intra Cos: 0.9896565675735474
Inter Cos: -0.13971556723117828
Norm Quadratic Average: 0.431114137172699
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.075263023376465
Linear Weight Rank: 3
Intra Cos: 0.9927677512168884
Inter Cos: -0.25967326760292053
Norm Quadratic Average: 1.9221912622451782
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9930532574653625
Inter Cos: -0.22484004497528076
Norm Quadratic Average: 2.309856414794922
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.21739160537719726
Accuracy: 0.99
NC1 Within Class Collapse: 0.0809599757194519
NC2 Equinorm: Features: 0.014568603597581387, Weights: 0.020655781030654907
NC2 Equiangle: Features: 0.05833423634370168, Weights: 0.04234539965788523
NC3 Self-Duality: 0.0021425243467092514
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.43930721282958984
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: 0.44382062554359436
Linear Weight Rank: 169
Intra Cos: 0.31571367383003235
Inter Cos: 0.07909892499446869
Norm Quadratic Average: 0.38206279277801514
Nearest Class Center Accuracy: 0.822

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.35185953974723816
Linear Weight Rank: 170
Intra Cos: 0.6171606779098511
Inter Cos: 0.17337405681610107
Norm Quadratic Average: 0.19881270825862885
Nearest Class Center Accuracy: 0.96

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4167199432849884
Linear Weight Rank: 168
Intra Cos: 0.9416846036911011
Inter Cos: 0.09259270876646042
Norm Quadratic Average: 0.23441483080387115
Nearest Class Center Accuracy: 0.9895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6052412986755371
Linear Weight Rank: 163
Intra Cos: 0.9688913226127625
Inter Cos: -0.1436600387096405
Norm Quadratic Average: 0.42862948775291443
Nearest Class Center Accuracy: 0.9895

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.075263023376465
Linear Weight Rank: 3
Intra Cos: 0.9709051847457886
Inter Cos: -0.2590751349925995
Norm Quadratic Average: 1.9069914817810059
Nearest Class Center Accuracy: 0.9895

Output Layer:
Intra Cos: 0.970603883266449
Inter Cos: -0.22621551156044006
Norm Quadratic Average: 2.2897510528564453
Nearest Class Center Accuracy: 0.9895

