Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.035274505615234
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 8.027874946594238
Linear Weight Rank: 180
Intra Cos: 0.07208346575498581
Inter Cos: 0.0053473422303795815
Norm Quadratic Average: 13.783378601074219
Nearest Class Center Accuracy: 0.869625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.985954284667969
Linear Weight Rank: 179
Intra Cos: 0.10085851699113846
Inter Cos: 0.004586717579513788
Norm Quadratic Average: 13.7518949508667
Nearest Class Center Accuracy: 0.9105

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018118858337402
Linear Weight Rank: 179
Intra Cos: 0.12638621032238007
Inter Cos: 0.008077838458120823
Norm Quadratic Average: 13.717103004455566
Nearest Class Center Accuracy: 0.94275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.96799373626709
Linear Weight Rank: 179
Intra Cos: 0.1609497219324112
Inter Cos: -0.003182035870850086
Norm Quadratic Average: 13.68039321899414
Nearest Class Center Accuracy: 0.974625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9656758308410645
Linear Weight Rank: 179
Intra Cos: 0.18575073778629303
Inter Cos: -0.0029530972242355347
Norm Quadratic Average: 13.640280723571777
Nearest Class Center Accuracy: 0.992375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9905524253845215
Linear Weight Rank: 180
Intra Cos: 0.223130464553833
Inter Cos: -0.009153807535767555
Norm Quadratic Average: 13.673137664794922
Nearest Class Center Accuracy: 0.999125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967491626739502
Linear Weight Rank: 179
Intra Cos: 0.2983420193195343
Inter Cos: -0.03121234104037285
Norm Quadratic Average: 13.662067413330078
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.059863328933716
Linear Weight Rank: 4
Intra Cos: 0.45825594663619995
Inter Cos: -0.0982268825173378
Norm Quadratic Average: 13.749082565307617
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9580754041671753
Inter Cos: -0.14262089133262634
Norm Quadratic Average: 10.610901832580566
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3434461050033569
Accuracy: 0.8915
NC1 Within Class Collapse: 1.149184226989746
NC2 Equinorm: Features: 0.029679471626877785, Weights: 0.01663198322057724
NC2 Equiangle: Features: 0.23502628008524576, Weights: 0.09617989261945088
NC3 Self-Duality: 0.2427154779434204
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.035274505615234
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.027874946594238
Linear Weight Rank: 180
Intra Cos: 0.0706404596567154
Inter Cos: 0.0047453101724386215
Norm Quadratic Average: 13.76822280883789
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.985954284667969
Linear Weight Rank: 179
Intra Cos: 0.09847971051931381
Inter Cos: 0.004350774921476841
Norm Quadratic Average: 13.739168167114258
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018118858337402
Linear Weight Rank: 179
Intra Cos: 0.11569681763648987
Inter Cos: -0.0004964454565197229
Norm Quadratic Average: 13.702481269836426
Nearest Class Center Accuracy: 0.904

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.96799373626709
Linear Weight Rank: 179
Intra Cos: 0.14737364649772644
Inter Cos: -0.0006084113847464323
Norm Quadratic Average: 13.666006088256836
Nearest Class Center Accuracy: 0.9085

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9656758308410645
Linear Weight Rank: 179
Intra Cos: 0.15483765304088593
Inter Cos: 0.0022745621390640736
Norm Quadratic Average: 13.578519821166992
Nearest Class Center Accuracy: 0.9085

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9905524253845215
Linear Weight Rank: 180
Intra Cos: 0.17173181474208832
Inter Cos: -0.005232027731835842
Norm Quadratic Average: 13.543344497680664
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967491626739502
Linear Weight Rank: 179
Intra Cos: 0.21507808566093445
Inter Cos: -0.014895012602210045
Norm Quadratic Average: 13.408641815185547
Nearest Class Center Accuracy: 0.8975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.059863328933716
Linear Weight Rank: 4
Intra Cos: 0.3179013133049011
Inter Cos: -0.04370011016726494
Norm Quadratic Average: 13.194584846496582
Nearest Class Center Accuracy: 0.8935

Output Layer:
Intra Cos: 0.705113410949707
Inter Cos: -0.05621330812573433
Norm Quadratic Average: 9.762041091918945
Nearest Class Center Accuracy: 0.8985

