Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.844759941101074
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881829738616943
Linear Weight Rank: 180
Intra Cos: 0.07119381427764893
Inter Cos: 0.003014962188899517
Norm Quadratic Average: 13.462686538696289
Nearest Class Center Accuracy: 0.85325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8250532150268555
Linear Weight Rank: 180
Intra Cos: 0.10624731332063675
Inter Cos: 0.004756237380206585
Norm Quadratic Average: 13.447186470031738
Nearest Class Center Accuracy: 0.91675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793659210205078
Linear Weight Rank: 180
Intra Cos: 0.13105633854866028
Inter Cos: 0.008689375594258308
Norm Quadratic Average: 13.426178932189941
Nearest Class Center Accuracy: 0.940375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.803408622741699
Linear Weight Rank: 180
Intra Cos: 0.1487194001674652
Inter Cos: 0.012435419484972954
Norm Quadratic Average: 13.39233684539795
Nearest Class Center Accuracy: 0.96325

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.803475856781006
Linear Weight Rank: 180
Intra Cos: 0.169681116938591
Inter Cos: -0.005331334657967091
Norm Quadratic Average: 13.35167407989502
Nearest Class Center Accuracy: 0.987625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.781713485717773
Linear Weight Rank: 180
Intra Cos: 0.21719683706760406
Inter Cos: -0.013973955996334553
Norm Quadratic Average: 13.336529731750488
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.800876617431641
Linear Weight Rank: 179
Intra Cos: 0.290225088596344
Inter Cos: -0.0395534411072731
Norm Quadratic Average: 13.29149055480957
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.005077362060547
Linear Weight Rank: 4
Intra Cos: 0.4440208673477173
Inter Cos: -0.10294350981712341
Norm Quadratic Average: 13.417656898498535
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9626320600509644
Inter Cos: -0.14789187908172607
Norm Quadratic Average: 10.279607772827148
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3731867818832397
Accuracy: 0.882
NC1 Within Class Collapse: 1.2127845287322998
NC2 Equinorm: Features: 0.010438118129968643, Weights: 0.0430530346930027
NC2 Equiangle: Features: 0.23415865500768027, Weights: 0.09977568189303081
NC3 Self-Duality: 0.22188237309455872
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.844759941101074
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.881829738616943
Linear Weight Rank: 180
Intra Cos: 0.0731998160481453
Inter Cos: 0.0037313809152692556
Norm Quadratic Average: 13.451008796691895
Nearest Class Center Accuracy: 0.857

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8250532150268555
Linear Weight Rank: 180
Intra Cos: 0.10482329875230789
Inter Cos: 0.0069341701455414295
Norm Quadratic Average: 13.444886207580566
Nearest Class Center Accuracy: 0.891

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.793659210205078
Linear Weight Rank: 180
Intra Cos: 0.12481339275836945
Inter Cos: 0.013538701459765434
Norm Quadratic Average: 13.447086334228516
Nearest Class Center Accuracy: 0.8965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.803408622741699
Linear Weight Rank: 180
Intra Cos: 0.14142204821109772
Inter Cos: 0.016689559444785118
Norm Quadratic Average: 13.414612770080566
Nearest Class Center Accuracy: 0.8915

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.803475856781006
Linear Weight Rank: 180
Intra Cos: 0.15348613262176514
Inter Cos: 0.0014603696763515472
Norm Quadratic Average: 13.301238059997559
Nearest Class Center Accuracy: 0.894

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.781713485717773
Linear Weight Rank: 180
Intra Cos: 0.18394534289836884
Inter Cos: -0.0033499663695693016
Norm Quadratic Average: 13.169513702392578
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.800876617431641
Linear Weight Rank: 179
Intra Cos: 0.2237709015607834
Inter Cos: -0.021578777581453323
Norm Quadratic Average: 13.022726058959961
Nearest Class Center Accuracy: 0.8905

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.005077362060547
Linear Weight Rank: 4
Intra Cos: 0.32252374291419983
Inter Cos: -0.04566873982548714
Norm Quadratic Average: 12.809257507324219
Nearest Class Center Accuracy: 0.8905

Output Layer:
Intra Cos: 0.707968533039093
Inter Cos: -0.06469886004924774
Norm Quadratic Average: 9.42019271850586
Nearest Class Center Accuracy: 0.8875

