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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9920297861099243
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: 2.111974000930786
Linear Weight Rank: 179
Intra Cos: 0.09913845360279083
Inter Cos: 0.009640762582421303
Norm Quadratic Average: 3.34853458404541
Nearest Class Center Accuracy: 0.911625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0186996459960938
Linear Weight Rank: 179
Intra Cos: 0.1733434647321701
Inter Cos: 0.01173597015440464
Norm Quadratic Average: 3.3028454780578613
Nearest Class Center Accuracy: 0.967

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9619747400283813
Linear Weight Rank: 179
Intra Cos: 0.30383625626564026
Inter Cos: -0.011766478419303894
Norm Quadratic Average: 3.2891998291015625
Nearest Class Center Accuracy: 0.9965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.93236243724823
Linear Weight Rank: 179
Intra Cos: 0.5889973640441895
Inter Cos: -0.04824940860271454
Norm Quadratic Average: 3.2830145359039307
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9283634424209595
Linear Weight Rank: 4
Intra Cos: 0.9455984830856323
Inter Cos: -0.2321363389492035
Norm Quadratic Average: 3.8258986473083496
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9956316947937012
Inter Cos: -0.2231847047805786
Norm Quadratic Average: 4.097365379333496
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1715950527191162
Accuracy: 0.944
NC1 Within Class Collapse: 0.442064106464386
NC2 Equinorm: Features: 0.023458614945411682, Weights: 0.021208791062235832
NC2 Equiangle: Features: 0.1377197504043579, Weights: 0.02865941325823466
NC3 Self-Duality: 0.04494485259056091
NC4 NCC Mismatch: 0.0050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9920297861099243
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: 2.111974000930786
Linear Weight Rank: 179
Intra Cos: 0.09803002327680588
Inter Cos: 0.007197622209787369
Norm Quadratic Average: 3.345630168914795
Nearest Class Center Accuracy: 0.9115

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0186996459960938
Linear Weight Rank: 179
Intra Cos: 0.1646096557378769
Inter Cos: 0.010951556265354156
Norm Quadratic Average: 3.3094284534454346
Nearest Class Center Accuracy: 0.943

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9619747400283813
Linear Weight Rank: 179
Intra Cos: 0.2816566228866577
Inter Cos: 0.0028212922625243664
Norm Quadratic Average: 3.2895920276641846
Nearest Class Center Accuracy: 0.9515

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.93236243724823
Linear Weight Rank: 179
Intra Cos: 0.4973515272140503
Inter Cos: -0.031312696635723114
Norm Quadratic Average: 3.226787805557251
Nearest Class Center Accuracy: 0.952

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9283634424209595
Linear Weight Rank: 4
Intra Cos: 0.7831441164016724
Inter Cos: -0.13220827281475067
Norm Quadratic Average: 3.5610573291778564
Nearest Class Center Accuracy: 0.948

Output Layer:
Intra Cos: 0.8451732993125916
Inter Cos: -0.12373512238264084
Norm Quadratic Average: 3.782045841217041
Nearest Class Center Accuracy: 0.9475

