Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.484326362609863
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 6.4569244384765625
Linear Weight Rank: 179
Intra Cos: 0.07712403684854507
Inter Cos: 0.00575044983997941
Norm Quadratic Average: 11.136119842529297
Nearest Class Center Accuracy: 0.882625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.42902135848999
Linear Weight Rank: 179
Intra Cos: 0.12074564397335052
Inter Cos: 0.005754306446760893
Norm Quadratic Average: 11.121777534484863
Nearest Class Center Accuracy: 0.928875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.456605911254883
Linear Weight Rank: 180
Intra Cos: 0.1695488691329956
Inter Cos: -0.0031592806335538626
Norm Quadratic Average: 11.110777854919434
Nearest Class Center Accuracy: 0.96775

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4195733070373535
Linear Weight Rank: 180
Intra Cos: 0.2454688549041748
Inter Cos: -0.007069487124681473
Norm Quadratic Average: 11.082343101501465
Nearest Class Center Accuracy: 0.998875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1700658798217773
Linear Weight Rank: 4
Intra Cos: 0.4408778250217438
Inter Cos: -0.0655885860323906
Norm Quadratic Average: 11.176556587219238
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9321384429931641
Inter Cos: -0.08401378244161606
Norm Quadratic Average: 9.42751407623291
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.23378501510620117
Accuracy: 0.9075
NC1 Within Class Collapse: 1.1549073457717896
NC2 Equinorm: Features: 0.005178895778954029, Weights: 0.017012378200888634
NC2 Equiangle: Features: 0.28156429529190063, Weights: 0.11769133806228638
NC3 Self-Duality: 0.19198909401893616
NC4 NCC Mismatch: 0.01749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.484326362609863
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
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: 6.4569244384765625
Linear Weight Rank: 179
Intra Cos: 0.07549962401390076
Inter Cos: 0.006055117584764957
Norm Quadratic Average: 11.123942375183105
Nearest Class Center Accuracy: 0.8845

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.42902135848999
Linear Weight Rank: 179
Intra Cos: 0.11594667285680771
Inter Cos: 0.0053991652093827724
Norm Quadratic Average: 11.134224891662598
Nearest Class Center Accuracy: 0.908

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.456605911254883
Linear Weight Rank: 180
Intra Cos: 0.15324535965919495
Inter Cos: 0.005409276578575373
Norm Quadratic Average: 11.139524459838867
Nearest Class Center Accuracy: 0.92

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4195733070373535
Linear Weight Rank: 180
Intra Cos: 0.20977731049060822
Inter Cos: -0.0034365286119282246
Norm Quadratic Average: 11.049638748168945
Nearest Class Center Accuracy: 0.926

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1700658798217773
Linear Weight Rank: 4
Intra Cos: 0.3377957344055176
Inter Cos: -0.02708984538912773
Norm Quadratic Average: 10.937195777893066
Nearest Class Center Accuracy: 0.9195

Output Layer:
Intra Cos: 0.7421269416809082
Inter Cos: -0.018514156341552734
Norm Quadratic Average: 9.016535758972168
Nearest Class Center Accuracy: 0.9175

