Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.437075138092041
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 7.433962821960449
Linear Weight Rank: 179
Intra Cos: 0.12996573746204376
Inter Cos: 0.007402415852993727
Norm Quadratic Average: 4.59660530090332
Nearest Class Center Accuracy: 0.930125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.433507442474365
Linear Weight Rank: 179
Intra Cos: 0.48968708515167236
Inter Cos: 0.035590946674346924
Norm Quadratic Average: 3.621568202972412
Nearest Class Center Accuracy: 0.942625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.484100341796875
Linear Weight Rank: 179
Intra Cos: 0.6471859216690063
Inter Cos: 0.07214929163455963
Norm Quadratic Average: 5.124024868011475
Nearest Class Center Accuracy: 0.934

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.469568729400635
Linear Weight Rank: 179
Intra Cos: 0.6803861260414124
Inter Cos: 0.09483635425567627
Norm Quadratic Average: 7.576900959014893
Nearest Class Center Accuracy: 0.93925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.887021064758301
Linear Weight Rank: 4
Intra Cos: 0.6838802099227905
Inter Cos: 0.09222915768623352
Norm Quadratic Average: 11.051422119140625
Nearest Class Center Accuracy: 0.948875

Output Layer:
Intra Cos: 0.7704389095306396
Inter Cos: 0.08093041181564331
Norm Quadratic Average: 19.949413299560547
Nearest Class Center Accuracy: 0.959125

Test Set:
Average Loss: 0.062448487997055054
Accuracy: 0.975
NC1 Within Class Collapse: 1.5869855880737305
NC2 Equinorm: Features: 0.041625041514635086, Weights: 0.06730154901742935
NC2 Equiangle: Features: 0.4306639830271403, Weights: 0.3805583318074544
NC3 Self-Duality: 0.12683066725730896
NC4 NCC Mismatch: 0.05400000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.437075138092041
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 7.433962821960449
Linear Weight Rank: 179
Intra Cos: 0.1279309242963791
Inter Cos: 0.005655224435031414
Norm Quadratic Average: 4.592803001403809
Nearest Class Center Accuracy: 0.9315

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.433507442474365
Linear Weight Rank: 179
Intra Cos: 0.47743722796440125
Inter Cos: 0.029665514826774597
Norm Quadratic Average: 3.637896776199341
Nearest Class Center Accuracy: 0.9365

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.484100341796875
Linear Weight Rank: 179
Intra Cos: 0.6252331733703613
Inter Cos: 0.06918881833553314
Norm Quadratic Average: 5.150946617126465
Nearest Class Center Accuracy: 0.929

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.469568729400635
Linear Weight Rank: 179
Intra Cos: 0.6555644869804382
Inter Cos: 0.09096197783946991
Norm Quadratic Average: 7.617889881134033
Nearest Class Center Accuracy: 0.928

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.887021064758301
Linear Weight Rank: 4
Intra Cos: 0.6574083566665649
Inter Cos: 0.08692818135023117
Norm Quadratic Average: 11.09500503540039
Nearest Class Center Accuracy: 0.939

Output Layer:
Intra Cos: 0.736163854598999
Inter Cos: 0.08132060617208481
Norm Quadratic Average: 19.982404708862305
Nearest Class Center Accuracy: 0.9485

