Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.131199359893799
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.065497875213623
Linear Weight Rank: 179
Intra Cos: 0.012350698001682758
Inter Cos: 0.0034732725471258163
Norm Quadratic Average: 3.006669282913208
Nearest Class Center Accuracy: 0.4515

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053997039794922
Linear Weight Rank: 179
Intra Cos: 0.016854174435138702
Inter Cos: 0.009692824445664883
Norm Quadratic Average: 0.7494853734970093
Nearest Class Center Accuracy: 0.43425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069741249084473
Linear Weight Rank: 180
Intra Cos: 0.0293367188423872
Inter Cos: 0.025503961369395256
Norm Quadratic Average: 0.2112029790878296
Nearest Class Center Accuracy: 0.41725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05232572555542
Linear Weight Rank: 180
Intra Cos: 0.04560001194477081
Inter Cos: 0.041913051158189774
Norm Quadratic Average: 0.0677448958158493
Nearest Class Center Accuracy: 0.4075

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7823732495307922
Linear Weight Rank: 4
Intra Cos: 0.05654558166861534
Inter Cos: 0.06315448880195618
Norm Quadratic Average: 0.024241523817181587
Nearest Class Center Accuracy: 0.390375

Output Layer:
Intra Cos: 0.07651885598897934
Inter Cos: 0.08956513553857803
Norm Quadratic Average: 0.006858731620013714
Nearest Class Center Accuracy: 0.370125

Test Set:
Average Loss: 1.382267379760742
Accuracy: 0.2695
NC1 Within Class Collapse: 31.205219268798828
NC2 Equinorm: Features: 0.27883365750312805, Weights: 0.045879073441028595
NC2 Equiangle: Features: 0.7655808130900065, Weights: 0.24806612730026245
NC3 Self-Duality: 0.9956045746803284
NC4 NCC Mismatch: 0.88

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.131199359893799
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
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: 5.065497875213623
Linear Weight Rank: 179
Intra Cos: 0.013490833342075348
Inter Cos: 0.003923445474356413
Norm Quadratic Average: 3.0037291049957275
Nearest Class Center Accuracy: 0.4675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053997039794922
Linear Weight Rank: 179
Intra Cos: 0.018549373373389244
Inter Cos: 0.009524054825305939
Norm Quadratic Average: 0.7482560276985168
Nearest Class Center Accuracy: 0.4475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069741249084473
Linear Weight Rank: 180
Intra Cos: 0.0306851863861084
Inter Cos: 0.0255428534001112
Norm Quadratic Average: 0.21034476161003113
Nearest Class Center Accuracy: 0.43

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.05232572555542
Linear Weight Rank: 180
Intra Cos: 0.04476103186607361
Inter Cos: 0.04423462599515915
Norm Quadratic Average: 0.06733090430498123
Nearest Class Center Accuracy: 0.4085

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7823732495307922
Linear Weight Rank: 4
Intra Cos: 0.05373773351311684
Inter Cos: 0.06758827716112137
Norm Quadratic Average: 0.02406393736600876
Nearest Class Center Accuracy: 0.383

Output Layer:
Intra Cos: 0.06684482097625732
Inter Cos: 0.09656037390232086
Norm Quadratic Average: 0.006800063885748386
Nearest Class Center Accuracy: 0.365

