Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.965023517608643
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: 7.963747978210449
Linear Weight Rank: 179
Intra Cos: 0.06630977988243103
Inter Cos: 0.005530263297259808
Norm Quadratic Average: 13.665349006652832
Nearest Class Center Accuracy: 0.866625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.923587322235107
Linear Weight Rank: 179
Intra Cos: 0.10438127815723419
Inter Cos: 0.0028854417614638805
Norm Quadratic Average: 13.671426773071289
Nearest Class Center Accuracy: 0.92075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8831467628479
Linear Weight Rank: 179
Intra Cos: 0.1319272369146347
Inter Cos: -0.004526965320110321
Norm Quadratic Average: 13.631712913513184
Nearest Class Center Accuracy: 0.960875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892512798309326
Linear Weight Rank: 179
Intra Cos: 0.19183562695980072
Inter Cos: -0.012270767241716385
Norm Quadratic Average: 13.576760292053223
Nearest Class Center Accuracy: 0.998

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4285202026367188
Linear Weight Rank: 4
Intra Cos: 0.379127562046051
Inter Cos: -0.0474797859787941
Norm Quadratic Average: 13.680587768554688
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9212508201599121
Inter Cos: -0.08438652753829956
Norm Quadratic Average: 12.09715747833252
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.27557614421844484
Accuracy: 0.896
NC1 Within Class Collapse: 1.3597559928894043
NC2 Equinorm: Features: 0.021234765648841858, Weights: 0.019629083573818207
NC2 Equiangle: Features: 0.2929635246594747, Weights: 0.1236167848110199
NC3 Self-Duality: 0.20373156666755676
NC4 NCC Mismatch: 0.030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.965023517608643
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: 7.963747978210449
Linear Weight Rank: 179
Intra Cos: 0.06464036554098129
Inter Cos: 0.0017145898891612887
Norm Quadratic Average: 13.647592544555664
Nearest Class Center Accuracy: 0.8765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.923587322235107
Linear Weight Rank: 179
Intra Cos: 0.09935974329710007
Inter Cos: 0.0032291337847709656
Norm Quadratic Average: 13.653138160705566
Nearest Class Center Accuracy: 0.9

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8831467628479
Linear Weight Rank: 179
Intra Cos: 0.1173543781042099
Inter Cos: 0.0033960044384002686
Norm Quadratic Average: 13.655704498291016
Nearest Class Center Accuracy: 0.8895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892512798309326
Linear Weight Rank: 179
Intra Cos: 0.15832647681236267
Inter Cos: -0.006495530717074871
Norm Quadratic Average: 13.591185569763184
Nearest Class Center Accuracy: 0.8995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4285202026367188
Linear Weight Rank: 4
Intra Cos: 0.2919631004333496
Inter Cos: -0.02197912335395813
Norm Quadratic Average: 13.502286911010742
Nearest Class Center Accuracy: 0.911

Output Layer:
Intra Cos: 0.7379307150840759
Inter Cos: -0.0331185907125473
Norm Quadratic Average: 11.676104545593262
Nearest Class Center Accuracy: 0.9105

