Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.949071884155273
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: 7.905152797698975
Linear Weight Rank: 179
Intra Cos: 0.07515805214643478
Inter Cos: 0.005759803578257561
Norm Quadratic Average: 13.602022171020508
Nearest Class Center Accuracy: 0.879625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.876769065856934
Linear Weight Rank: 179
Intra Cos: 0.11357300728559494
Inter Cos: 0.0046851797960698605
Norm Quadratic Average: 13.58187198638916
Nearest Class Center Accuracy: 0.92325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915036678314209
Linear Weight Rank: 180
Intra Cos: 0.15488511323928833
Inter Cos: -0.0007570090238004923
Norm Quadratic Average: 13.578478813171387
Nearest Class Center Accuracy: 0.9605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.871469020843506
Linear Weight Rank: 180
Intra Cos: 0.21461419761180878
Inter Cos: -0.006266188342124224
Norm Quadratic Average: 13.517389297485352
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.420713186264038
Linear Weight Rank: 4
Intra Cos: 0.3714800477027893
Inter Cos: -0.0427251011133194
Norm Quadratic Average: 13.6243257522583
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9215718507766724
Inter Cos: -0.05238541215658188
Norm Quadratic Average: 11.965790748596191
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.253634202003479
Accuracy: 0.9055
NC1 Within Class Collapse: 1.2881784439086914
NC2 Equinorm: Features: 0.007727563381195068, Weights: 0.01736690104007721
NC2 Equiangle: Features: 0.30601712067921955, Weights: 0.13638911644617716
NC3 Self-Duality: 0.21072928607463837
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.949071884155273
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: 7.905152797698975
Linear Weight Rank: 179
Intra Cos: 0.07353165000677109
Inter Cos: 0.00592590868473053
Norm Quadratic Average: 13.587796211242676
Nearest Class Center Accuracy: 0.8855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.876769065856934
Linear Weight Rank: 179
Intra Cos: 0.1092052161693573
Inter Cos: 0.004275079816579819
Norm Quadratic Average: 13.593117713928223
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.915036678314209
Linear Weight Rank: 180
Intra Cos: 0.14029881358146667
Inter Cos: 0.00745512917637825
Norm Quadratic Average: 13.610917091369629
Nearest Class Center Accuracy: 0.9115

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.871469020843506
Linear Weight Rank: 180
Intra Cos: 0.18694058060646057
Inter Cos: -0.0038671791553497314
Norm Quadratic Average: 13.483582496643066
Nearest Class Center Accuracy: 0.925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.420713186264038
Linear Weight Rank: 4
Intra Cos: 0.29306361079216003
Inter Cos: -0.012781357392668724
Norm Quadratic Average: 13.403640747070312
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7393323183059692
Inter Cos: 0.008066661655902863
Norm Quadratic Average: 11.539729118347168
Nearest Class Center Accuracy: 0.9145

