Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.390302658081055
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 8.458647727966309
Linear Weight Rank: 179
Intra Cos: 0.11929585039615631
Inter Cos: 0.010931815020740032
Norm Quadratic Average: 5.1485395431518555
Nearest Class Center Accuracy: 0.934125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.479144096374512
Linear Weight Rank: 179
Intra Cos: 0.45694461464881897
Inter Cos: 0.026205971837043762
Norm Quadratic Average: 4.05171012878418
Nearest Class Center Accuracy: 0.96125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.431863784790039
Linear Weight Rank: 179
Intra Cos: 0.6456660032272339
Inter Cos: 0.05232845991849899
Norm Quadratic Average: 5.775206565856934
Nearest Class Center Accuracy: 0.958375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.4535493850708
Linear Weight Rank: 179
Intra Cos: 0.6684370636940002
Inter Cos: 0.08063371479511261
Norm Quadratic Average: 8.905476570129395
Nearest Class Center Accuracy: 0.949875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9454185962677
Linear Weight Rank: 4
Intra Cos: 0.6812491416931152
Inter Cos: 0.07807926833629608
Norm Quadratic Average: 13.30097770690918
Nearest Class Center Accuracy: 0.95025

Output Layer:
Intra Cos: 0.7667554616928101
Inter Cos: 0.07165689766407013
Norm Quadratic Average: 24.253293991088867
Nearest Class Center Accuracy: 0.95525

Test Set:
Average Loss: 0.06392336583137512
Accuracy: 0.9725
NC1 Within Class Collapse: 1.3332648277282715
NC2 Equinorm: Features: 0.0640769675374031, Weights: 0.04540552943944931
NC2 Equiangle: Features: 0.4288598299026489, Weights: 0.3544944127400716
NC3 Self-Duality: 0.14157795906066895
NC4 NCC Mismatch: 0.05600000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.390302658081055
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.458647727966309
Linear Weight Rank: 179
Intra Cos: 0.11705353856086731
Inter Cos: 0.011461797170341015
Norm Quadratic Average: 5.150574684143066
Nearest Class Center Accuracy: 0.924

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.479144096374512
Linear Weight Rank: 179
Intra Cos: 0.44949010014533997
Inter Cos: 0.03457627817988396
Norm Quadratic Average: 4.093136787414551
Nearest Class Center Accuracy: 0.9515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.431863784790039
Linear Weight Rank: 179
Intra Cos: 0.6446880102157593
Inter Cos: 0.08055837452411652
Norm Quadratic Average: 5.842991352081299
Nearest Class Center Accuracy: 0.946

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.4535493850708
Linear Weight Rank: 179
Intra Cos: 0.6729340553283691
Inter Cos: 0.10876274108886719
Norm Quadratic Average: 9.007503509521484
Nearest Class Center Accuracy: 0.9395

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9454185962677
Linear Weight Rank: 4
Intra Cos: 0.6675015091896057
Inter Cos: 0.10321654379367828
Norm Quadratic Average: 13.445816040039062
Nearest Class Center Accuracy: 0.9405

Output Layer:
Intra Cos: 0.7512022256851196
Inter Cos: 0.10000349581241608
Norm Quadratic Average: 24.438364028930664
Nearest Class Center Accuracy: 0.9485

