Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.087453842163086
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052574157714844
Linear Weight Rank: 180
Intra Cos: 0.06235026195645332
Inter Cos: 0.0015153149142861366
Norm Quadratic Average: 4.7292914390563965
Nearest Class Center Accuracy: 0.798625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028104782104492
Linear Weight Rank: 180
Intra Cos: 0.042645059525966644
Inter Cos: 0.010250103659927845
Norm Quadratic Average: 1.6343199014663696
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.01545238494873
Linear Weight Rank: 179
Intra Cos: 0.03540809825062752
Inter Cos: 0.008869128301739693
Norm Quadratic Average: 0.5956534147262573
Nearest Class Center Accuracy: 0.627125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.038714408874512
Linear Weight Rank: 180
Intra Cos: 0.0386306568980217
Inter Cos: 0.004687400069087744
Norm Quadratic Average: 0.21998712420463562
Nearest Class Center Accuracy: 0.590125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04904842376709
Linear Weight Rank: 179
Intra Cos: 0.033211223781108856
Inter Cos: 0.006084118504077196
Norm Quadratic Average: 0.08725058287382126
Nearest Class Center Accuracy: 0.569375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032052040100098
Linear Weight Rank: 180
Intra Cos: 0.02859441004693508
Inter Cos: 0.0149645721539855
Norm Quadratic Average: 0.03572722524404526
Nearest Class Center Accuracy: 0.528875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055319786071777
Linear Weight Rank: 179
Intra Cos: 0.03131876885890961
Inter Cos: 0.017319634556770325
Norm Quadratic Average: 0.013581115752458572
Nearest Class Center Accuracy: 0.47625

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051980018615723
Linear Weight Rank: 179
Intra Cos: 0.03141853213310242
Inter Cos: 0.019112644717097282
Norm Quadratic Average: 0.005675224587321281
Nearest Class Center Accuracy: 0.466625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034296989440918
Linear Weight Rank: 180
Intra Cos: 0.030700651928782463
Inter Cos: 0.012705562636256218
Norm Quadratic Average: 0.0023627346381545067
Nearest Class Center Accuracy: 0.445875

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047119140625
Linear Weight Rank: 180
Intra Cos: 0.027773812413215637
Inter Cos: 0.013424424454569817
Norm Quadratic Average: 0.00105665298178792
Nearest Class Center Accuracy: 0.419

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.123859167098999
Linear Weight Rank: 4
Intra Cos: 0.024382248520851135
Inter Cos: 0.017942966893315315
Norm Quadratic Average: 0.00040581004577688873
Nearest Class Center Accuracy: 0.402

Output Layer:
Intra Cos: 0.013708645477890968
Inter Cos: 0.015782412141561508
Norm Quadratic Average: 3.2519878004677594e-05
Nearest Class Center Accuracy: 0.309875

Test Set:
Average Loss: 1.3875023155212403
Accuracy: 0.257
NC1 Within Class Collapse: 131.8400421142578
NC2 Equinorm: Features: 0.18773622810840607, Weights: 0.017522476613521576
NC2 Equiangle: Features: 0.46921253204345703, Weights: 0.3183589180310567
NC3 Self-Duality: 1.980535864830017
NC4 NCC Mismatch: 0.817

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.087453842163086
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 8.052574157714844
Linear Weight Rank: 180
Intra Cos: 0.06409124284982681
Inter Cos: 0.005095578730106354
Norm Quadratic Average: 4.7208099365234375
Nearest Class Center Accuracy: 0.805

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028104782104492
Linear Weight Rank: 180
Intra Cos: 0.043365951627492905
Inter Cos: 0.011794028803706169
Norm Quadratic Average: 1.63007390499115
Nearest Class Center Accuracy: 0.7245

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.01545238494873
Linear Weight Rank: 179
Intra Cos: 0.03458503633737564
Inter Cos: 0.01060604490339756
Norm Quadratic Average: 0.5936840176582336
Nearest Class Center Accuracy: 0.634

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.038714408874512
Linear Weight Rank: 180
Intra Cos: 0.04064473509788513
Inter Cos: 0.00530033465474844
Norm Quadratic Average: 0.2198534905910492
Nearest Class Center Accuracy: 0.612

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04904842376709
Linear Weight Rank: 179
Intra Cos: 0.030072253197431564
Inter Cos: 0.007183991372585297
Norm Quadratic Average: 0.08717142045497894
Nearest Class Center Accuracy: 0.586

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032052040100098
Linear Weight Rank: 180
Intra Cos: 0.0239262618124485
Inter Cos: 0.016425909474492073
Norm Quadratic Average: 0.035658225417137146
Nearest Class Center Accuracy: 0.5545

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055319786071777
Linear Weight Rank: 179
Intra Cos: 0.024139106273651123
Inter Cos: 0.016183651983737946
Norm Quadratic Average: 0.013562032021582127
Nearest Class Center Accuracy: 0.5065

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051980018615723
Linear Weight Rank: 179
Intra Cos: 0.02869390696287155
Inter Cos: 0.018664849922060966
Norm Quadratic Average: 0.0056655858643352985
Nearest Class Center Accuracy: 0.4975

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034296989440918
Linear Weight Rank: 180
Intra Cos: 0.023646105080842972
Inter Cos: 0.012753811664879322
Norm Quadratic Average: 0.0023526973091065884
Nearest Class Center Accuracy: 0.4705

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.047119140625
Linear Weight Rank: 180
Intra Cos: 0.022585704922676086
Inter Cos: 0.012437744066119194
Norm Quadratic Average: 0.0010522680822759867
Nearest Class Center Accuracy: 0.4315

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.123859167098999
Linear Weight Rank: 4
Intra Cos: 0.024021070450544357
Inter Cos: 0.016077224165201187
Norm Quadratic Average: 0.0004046588437631726
Nearest Class Center Accuracy: 0.423

Output Layer:
Intra Cos: 0.009954843670129776
Inter Cos: 0.015475122258067131
Norm Quadratic Average: 3.2687548809917644e-05
Nearest Class Center Accuracy: 0.303

