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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.891672134399414
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: 5.871742248535156
Linear Weight Rank: 179
Intra Cos: 0.07804585993289948
Inter Cos: 0.0056631844490766525
Norm Quadratic Average: 10.1166410446167
Nearest Class Center Accuracy: 0.883375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.843598365783691
Linear Weight Rank: 179
Intra Cos: 0.12398416548967361
Inter Cos: 0.0052651031874120235
Norm Quadratic Average: 10.105106353759766
Nearest Class Center Accuracy: 0.930375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.866509914398193
Linear Weight Rank: 180
Intra Cos: 0.1775989681482315
Inter Cos: -0.0021214892622083426
Norm Quadratic Average: 10.093424797058105
Nearest Class Center Accuracy: 0.97075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.832005023956299
Linear Weight Rank: 180
Intra Cos: 0.2594788372516632
Inter Cos: -0.009739717468619347
Norm Quadratic Average: 10.064691543579102
Nearest Class Center Accuracy: 0.999375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0844244956970215
Linear Weight Rank: 4
Intra Cos: 0.4799521267414093
Inter Cos: -0.07793613523244858
Norm Quadratic Average: 10.175409317016602
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9405388236045837
Inter Cos: -0.09896095842123032
Norm Quadratic Average: 8.540631294250488
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2290718069076538
Accuracy: 0.9075
NC1 Within Class Collapse: 1.100271224975586
NC2 Equinorm: Features: 0.0039052062202244997, Weights: 0.017361177131533623
NC2 Equiangle: Features: 0.2683972517649333, Weights: 0.10726118087768555
NC3 Self-Duality: 0.18167346715927124
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.891672134399414
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: 5.871742248535156
Linear Weight Rank: 179
Intra Cos: 0.07647065073251724
Inter Cos: 0.0059486208483576775
Norm Quadratic Average: 10.105669975280762
Nearest Class Center Accuracy: 0.887

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.843598365783691
Linear Weight Rank: 179
Intra Cos: 0.11903692781925201
Inter Cos: 0.004879607819020748
Norm Quadratic Average: 10.116768836975098
Nearest Class Center Accuracy: 0.91

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.866509914398193
Linear Weight Rank: 180
Intra Cos: 0.16047343611717224
Inter Cos: 0.006659776903688908
Norm Quadratic Average: 10.124231338500977
Nearest Class Center Accuracy: 0.919

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.832005023956299
Linear Weight Rank: 180
Intra Cos: 0.22165292501449585
Inter Cos: -0.005756329279392958
Norm Quadratic Average: 10.027608871459961
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0844244956970215
Linear Weight Rank: 4
Intra Cos: 0.36422568559646606
Inter Cos: -0.032968439161777496
Norm Quadratic Average: 9.925640106201172
Nearest Class Center Accuracy: 0.9145

Output Layer:
Intra Cos: 0.7447106838226318
Inter Cos: -0.02731247991323471
Norm Quadratic Average: 8.127341270446777
Nearest Class Center Accuracy: 0.917

