Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6276403665542603
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 0.6195338368415833
Linear Weight Rank: 179
Intra Cos: 0.05911825969815254
Inter Cos: 0.0052040209993720055
Norm Quadratic Average: 0.36810019612312317
Nearest Class Center Accuracy: 0.8075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6181098222732544
Linear Weight Rank: 179
Intra Cos: 0.04669009894132614
Inter Cos: 0.0035357363522052765
Norm Quadratic Average: 0.011944158002734184
Nearest Class Center Accuracy: 0.707

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6200267672538757
Linear Weight Rank: 180
Intra Cos: 0.04393542557954788
Inter Cos: 0.009679550305008888
Norm Quadratic Average: 0.00035662553273141384
Nearest Class Center Accuracy: 0.621875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.617879331111908
Linear Weight Rank: 180
Intra Cos: 0.05520963296294212
Inter Cos: 0.02022763341665268
Norm Quadratic Average: 1.097345921152737e-05
Nearest Class Center Accuracy: 0.613125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08976589143276215
Linear Weight Rank: 4
Intra Cos: 0.06162311136722565
Inter Cos: 0.007543171755969524
Norm Quadratic Average: 3.372333594597876e-07
Nearest Class Center Accuracy: 0.5785

Output Layer:
Intra Cos: 0.9987106919288635
Inter Cos: 0.9988362789154053
Norm Quadratic Average: 6.600943436296802e-08
Nearest Class Center Accuracy: 0.3015

Test Set:
Average Loss: 1.3869816093444824
Accuracy: 0.257
NC1 Within Class Collapse: 27.0108585357666
NC2 Equinorm: Features: 0.20643386244773865, Weights: 0.0588836707174778
NC2 Equiangle: Features: 0.41739169756571454, Weights: 0.2824788490931193
NC3 Self-Duality: 1.650359869003296
NC4 NCC Mismatch: 0.775

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6276403665542603
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 0.6195338368415833
Linear Weight Rank: 179
Intra Cos: 0.06074827164411545
Inter Cos: 0.0026150026824325323
Norm Quadratic Average: 0.3673926591873169
Nearest Class Center Accuracy: 0.81

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6181098222732544
Linear Weight Rank: 179
Intra Cos: 0.04873870313167572
Inter Cos: 0.004590834956616163
Norm Quadratic Average: 0.011922107078135014
Nearest Class Center Accuracy: 0.728

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6200267672538757
Linear Weight Rank: 180
Intra Cos: 0.04570383578538895
Inter Cos: 0.007976308465003967
Norm Quadratic Average: 0.0003559347824193537
Nearest Class Center Accuracy: 0.645

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.617879331111908
Linear Weight Rank: 180
Intra Cos: 0.05621211975812912
Inter Cos: 0.01735343039035797
Norm Quadratic Average: 1.092153979698196e-05
Nearest Class Center Accuracy: 0.6325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08976589143276215
Linear Weight Rank: 4
Intra Cos: 0.059544749557971954
Inter Cos: 0.007971994578838348
Norm Quadratic Average: 3.3496274909339263e-07
Nearest Class Center Accuracy: 0.583

Output Layer:
Intra Cos: 0.9964839816093445
Inter Cos: 0.9966211318969727
Norm Quadratic Average: 4.0385053523550596e-08
Nearest Class Center Accuracy: 0.3605

