Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0452449321746826
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.412008762359619
Linear Weight Rank: 180
Intra Cos: 0.02704191766679287
Inter Cos: -0.005315234884619713
Norm Quadratic Average: 3.335637092590332
Nearest Class Center Accuracy: 0.59475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.252739906311035
Linear Weight Rank: 179
Intra Cos: 0.03783018887042999
Inter Cos: -0.007706499192863703
Norm Quadratic Average: 3.3023149967193604
Nearest Class Center Accuracy: 0.707125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0443766117095947
Linear Weight Rank: 179
Intra Cos: 0.06744465231895447
Inter Cos: -0.01630575768649578
Norm Quadratic Average: 3.2836525440216064
Nearest Class Center Accuracy: 0.877375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9342389106750488
Linear Weight Rank: 178
Intra Cos: 0.20010937750339508
Inter Cos: -0.06081656739115715
Norm Quadratic Average: 3.2879600524902344
Nearest Class Center Accuracy: 0.999375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0965499877929688
Linear Weight Rank: 4
Intra Cos: 0.8476399779319763
Inter Cos: -0.2192816585302353
Norm Quadratic Average: 3.9477479457855225
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.981328547000885
Inter Cos: -0.21422092616558075
Norm Quadratic Average: 4.369117736816406
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.682530439376831
Accuracy: 0.747
NC1 Within Class Collapse: 2.8000831604003906
NC2 Equinorm: Features: 0.04969707503914833, Weights: 0.03351747989654541
NC2 Equiangle: Features: 0.06494637827078502, Weights: 0.019624769687652588
NC3 Self-Duality: 0.07531338185071945
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0452449321746826
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.412008762359619
Linear Weight Rank: 180
Intra Cos: 0.025051238015294075
Inter Cos: -0.003765167435631156
Norm Quadratic Average: 3.3368911743164062
Nearest Class Center Accuracy: 0.605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.252739906311035
Linear Weight Rank: 179
Intra Cos: 0.03081979975104332
Inter Cos: -0.003818223252892494
Norm Quadratic Average: 3.298668146133423
Nearest Class Center Accuracy: 0.665

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0443766117095947
Linear Weight Rank: 179
Intra Cos: 0.04332563281059265
Inter Cos: -0.006430002860724926
Norm Quadratic Average: 3.2743074893951416
Nearest Class Center Accuracy: 0.7215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9342389106750488
Linear Weight Rank: 178
Intra Cos: 0.09931652247905731
Inter Cos: -0.012646710500121117
Norm Quadratic Average: 3.185365676879883
Nearest Class Center Accuracy: 0.7565

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0965499877929688
Linear Weight Rank: 4
Intra Cos: 0.3473551571369171
Inter Cos: -0.06914587318897247
Norm Quadratic Average: 3.36846923828125
Nearest Class Center Accuracy: 0.7495

Output Layer:
Intra Cos: 0.4359718859195709
Inter Cos: -0.10281205177307129
Norm Quadratic Average: 3.555689811706543
Nearest Class Center Accuracy: 0.748

