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_265358_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8491283059120178
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 1.0284724235534668
Linear Weight Rank: 178
Intra Cos: 0.15314733982086182
Inter Cos: 0.014489762485027313
Norm Quadratic Average: 1.1036145687103271
Nearest Class Center Accuracy: 0.924375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8248693943023682
Linear Weight Rank: 179
Intra Cos: 0.19652755558490753
Inter Cos: 0.008074304088950157
Norm Quadratic Average: 0.7440062165260315
Nearest Class Center Accuracy: 0.984875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7015697956085205
Linear Weight Rank: 178
Intra Cos: 0.539494514465332
Inter Cos: -0.03682074323296547
Norm Quadratic Average: 0.6860085725784302
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7503455281257629
Linear Weight Rank: 178
Intra Cos: 0.9428885579109192
Inter Cos: -0.12822680175304413
Norm Quadratic Average: 0.926491916179657
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2414803504943848
Linear Weight Rank: 4
Intra Cos: 0.9986069202423096
Inter Cos: -0.289493203163147
Norm Quadratic Average: 2.4304280281066895
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9997119307518005
Inter Cos: -0.27413371205329895
Norm Quadratic Average: 3.1462671756744385
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.14815455198287963
Accuracy: 0.9725
NC1 Within Class Collapse: 0.1935591846704483
NC2 Equinorm: Features: 0.006182219833135605, Weights: 0.020758435130119324
NC2 Equiangle: Features: 0.07550968726476033, Weights: 0.023381705085436504
NC3 Self-Duality: 0.004735447000712156
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.8491283059120178
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: 1.0284724235534668
Linear Weight Rank: 178
Intra Cos: 0.1549404412508011
Inter Cos: 0.006309168413281441
Norm Quadratic Average: 1.1043108701705933
Nearest Class Center Accuracy: 0.9235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8248693943023682
Linear Weight Rank: 179
Intra Cos: 0.1870073676109314
Inter Cos: 0.010621946305036545
Norm Quadratic Average: 0.7452860474586487
Nearest Class Center Accuracy: 0.9505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7015697956085205
Linear Weight Rank: 178
Intra Cos: 0.4923892915248871
Inter Cos: -0.022253498435020447
Norm Quadratic Average: 0.6768891215324402
Nearest Class Center Accuracy: 0.9695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7503455281257629
Linear Weight Rank: 178
Intra Cos: 0.8678815364837646
Inter Cos: -0.07747724652290344
Norm Quadratic Average: 0.8969215154647827
Nearest Class Center Accuracy: 0.97

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2414803504943848
Linear Weight Rank: 4
Intra Cos: 0.920153021812439
Inter Cos: -0.22617477178573608
Norm Quadratic Average: 2.3293020725250244
Nearest Class Center Accuracy: 0.9715

Output Layer:
Intra Cos: 0.9254197478294373
Inter Cos: -0.20565199851989746
Norm Quadratic Average: 3.013918161392212
Nearest Class Center Accuracy: 0.972

