Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.141149520874023
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.218274116516113
Linear Weight Rank: 179
Intra Cos: 0.012450993992388248
Inter Cos: 0.005538688041269779
Norm Quadratic Average: 13.926443099975586
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154032707214355
Linear Weight Rank: 179
Intra Cos: 0.01056503877043724
Inter Cos: 0.003989333286881447
Norm Quadratic Average: 13.889565467834473
Nearest Class Center Accuracy: 0.483625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148523330688477
Linear Weight Rank: 180
Intra Cos: 0.012050610035657883
Inter Cos: -0.00043465595808811486
Norm Quadratic Average: 13.831270217895508
Nearest Class Center Accuracy: 0.549875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.059082984924316
Linear Weight Rank: 179
Intra Cos: 0.02517315000295639
Inter Cos: -0.003505937522277236
Norm Quadratic Average: 13.820110321044922
Nearest Class Center Accuracy: 0.804875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2716424465179443
Linear Weight Rank: 4
Intra Cos: 0.1192644014954567
Inter Cos: -0.021354492753744125
Norm Quadratic Average: 14.19742202758789
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8673768639564514
Inter Cos: -0.15942516922950745
Norm Quadratic Average: 9.969731330871582
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.3921111602783203
Accuracy: 0.5065
NC1 Within Class Collapse: 13.232844352722168
NC2 Equinorm: Features: 0.06565316766500473, Weights: 0.02247973531484604
NC2 Equiangle: Features: 0.2480576237042745, Weights: 0.04135185480117798
NC3 Self-Duality: 0.3267611861228943
NC4 NCC Mismatch: 0.12450000000000006

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.141149520874023
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.218274116516113
Linear Weight Rank: 179
Intra Cos: 0.012210351414978504
Inter Cos: 0.004915986675769091
Norm Quadratic Average: 13.865522384643555
Nearest Class Center Accuracy: 0.4615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154032707214355
Linear Weight Rank: 179
Intra Cos: 0.010567761957645416
Inter Cos: 0.00440378999337554
Norm Quadratic Average: 13.805294036865234
Nearest Class Center Accuracy: 0.488

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148523330688477
Linear Weight Rank: 180
Intra Cos: 0.0076304711401462555
Inter Cos: 0.0013751931255683303
Norm Quadratic Average: 13.782317161560059
Nearest Class Center Accuracy: 0.5035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.059082984924316
Linear Weight Rank: 179
Intra Cos: 0.007541409693658352
Inter Cos: 5.8428922784514725e-05
Norm Quadratic Average: 13.7564115524292
Nearest Class Center Accuracy: 0.512

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2716424465179443
Linear Weight Rank: 4
Intra Cos: 0.016319090500473976
Inter Cos: 0.002650751266628504
Norm Quadratic Average: 13.73959732055664
Nearest Class Center Accuracy: 0.5225

Output Layer:
Intra Cos: 0.1254311352968216
Inter Cos: 0.02381986379623413
Norm Quadratic Average: 8.197992324829102
Nearest Class Center Accuracy: 0.494

