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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.941329479217529
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: 5.866750240325928
Linear Weight Rank: 179
Intra Cos: 0.012973331846296787
Inter Cos: 0.004174510482698679
Norm Quadratic Average: 3.486412286758423
Nearest Class Center Accuracy: 0.452625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853871822357178
Linear Weight Rank: 179
Intra Cos: 0.027979770675301552
Inter Cos: 0.02139553800225258
Norm Quadratic Average: 1.0785057544708252
Nearest Class Center Accuracy: 0.432875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.872991561889648
Linear Weight Rank: 180
Intra Cos: 0.054895780980587006
Inter Cos: 0.05665982887148857
Norm Quadratic Average: 0.43074387311935425
Nearest Class Center Accuracy: 0.404375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854016304016113
Linear Weight Rank: 180
Intra Cos: 0.07352692633867264
Inter Cos: 0.08323393762111664
Norm Quadratic Average: 0.22189174592494965
Nearest Class Center Accuracy: 0.38575

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0236375331878662
Linear Weight Rank: 4
Intra Cos: 0.0813276544213295
Inter Cos: 0.10112927109003067
Norm Quadratic Average: 0.1360158920288086
Nearest Class Center Accuracy: 0.365

Output Layer:
Intra Cos: 0.08380291610956192
Inter Cos: 0.10894202440977097
Norm Quadratic Average: 0.07909303158521652
Nearest Class Center Accuracy: 0.3525

Test Set:
Average Loss: 1.368107982635498
Accuracy: 0.359
NC1 Within Class Collapse: 32.08603286743164
NC2 Equinorm: Features: 0.2699204087257385, Weights: 0.06685232371091843
NC2 Equiangle: Features: 0.8630738258361816, Weights: 0.23070287704467773
NC3 Self-Duality: 0.7477039694786072
NC4 NCC Mismatch: 0.526

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.941329479217529
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: 5.866750240325928
Linear Weight Rank: 179
Intra Cos: 0.014255784451961517
Inter Cos: 0.004685001913458109
Norm Quadratic Average: 3.4831318855285645
Nearest Class Center Accuracy: 0.4695

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853871822357178
Linear Weight Rank: 179
Intra Cos: 0.02766180783510208
Inter Cos: 0.022605454549193382
Norm Quadratic Average: 1.0768213272094727
Nearest Class Center Accuracy: 0.45

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.872991561889648
Linear Weight Rank: 180
Intra Cos: 0.04554659500718117
Inter Cos: 0.06089329719543457
Norm Quadratic Average: 0.42966100573539734
Nearest Class Center Accuracy: 0.407

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854016304016113
Linear Weight Rank: 180
Intra Cos: 0.06340998411178589
Inter Cos: 0.09335948526859283
Norm Quadratic Average: 0.22116880118846893
Nearest Class Center Accuracy: 0.376

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0236375331878662
Linear Weight Rank: 4
Intra Cos: 0.06811779737472534
Inter Cos: 0.11497747898101807
Norm Quadratic Average: 0.1354871541261673
Nearest Class Center Accuracy: 0.3605

Output Layer:
Intra Cos: 0.06450717151165009
Inter Cos: 0.12350551038980484
Norm Quadratic Average: 0.07880745828151703
Nearest Class Center Accuracy: 0.348

