Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.975985527038574
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 8.059036254882812
Linear Weight Rank: 179
Intra Cos: 0.07534535229206085
Inter Cos: 0.006235557142645121
Norm Quadratic Average: 13.75003433227539
Nearest Class Center Accuracy: 0.86775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046096801757812
Linear Weight Rank: 179
Intra Cos: 0.1029655784368515
Inter Cos: 0.007806684821844101
Norm Quadratic Average: 13.724448204040527
Nearest Class Center Accuracy: 0.91675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9705729484558105
Linear Weight Rank: 179
Intra Cos: 0.12828582525253296
Inter Cos: 0.00382794626057148
Norm Quadratic Average: 13.708080291748047
Nearest Class Center Accuracy: 0.946125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965653896331787
Linear Weight Rank: 179
Intra Cos: 0.1431381106376648
Inter Cos: 0.000846256036311388
Norm Quadratic Average: 13.670050621032715
Nearest Class Center Accuracy: 0.974125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97774600982666
Linear Weight Rank: 180
Intra Cos: 0.1818901151418686
Inter Cos: 0.003408161224797368
Norm Quadratic Average: 13.665404319763184
Nearest Class Center Accuracy: 0.99125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9525651931762695
Linear Weight Rank: 180
Intra Cos: 0.2415347695350647
Inter Cos: -0.004169908817857504
Norm Quadratic Average: 13.624131202697754
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944035053253174
Linear Weight Rank: 179
Intra Cos: 0.33602821826934814
Inter Cos: -0.0485180988907814
Norm Quadratic Average: 13.6272611618042
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0688369274139404
Linear Weight Rank: 4
Intra Cos: 0.4996938705444336
Inter Cos: -0.09036748111248016
Norm Quadratic Average: 13.80080795288086
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9631176590919495
Inter Cos: -0.14523273706436157
Norm Quadratic Average: 10.983193397521973
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38999319648742675
Accuracy: 0.879
NC1 Within Class Collapse: 1.1882233619689941
NC2 Equinorm: Features: 0.019810479134321213, Weights: 0.039780620485544205
NC2 Equiangle: Features: 0.22174469629923502, Weights: 0.1361542542775472
NC3 Self-Duality: 0.23701702058315277
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.975985527038574
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.059036254882812
Linear Weight Rank: 179
Intra Cos: 0.07664641737937927
Inter Cos: 0.007395620457828045
Norm Quadratic Average: 13.731852531433105
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046096801757812
Linear Weight Rank: 179
Intra Cos: 0.0982130840420723
Inter Cos: 0.0017239637672901154
Norm Quadratic Average: 13.752623558044434
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9705729484558105
Linear Weight Rank: 179
Intra Cos: 0.11951138824224472
Inter Cos: 0.002773774554952979
Norm Quadratic Average: 13.722661972045898
Nearest Class Center Accuracy: 0.896

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965653896331787
Linear Weight Rank: 179
Intra Cos: 0.1340634524822235
Inter Cos: -0.0006440212018787861
Norm Quadratic Average: 13.696020126342773
Nearest Class Center Accuracy: 0.898

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97774600982666
Linear Weight Rank: 180
Intra Cos: 0.15689772367477417
Inter Cos: 0.0016480118501931429
Norm Quadratic Average: 13.647561073303223
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9525651931762695
Linear Weight Rank: 180
Intra Cos: 0.19417235255241394
Inter Cos: -0.0023370443377643824
Norm Quadratic Average: 13.50703239440918
Nearest Class Center Accuracy: 0.899

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944035053253174
Linear Weight Rank: 179
Intra Cos: 0.2388448864221573
Inter Cos: -0.017289914190769196
Norm Quadratic Average: 13.35789680480957
Nearest Class Center Accuracy: 0.891

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0688369274139404
Linear Weight Rank: 4
Intra Cos: 0.34222495555877686
Inter Cos: -0.047613468021154404
Norm Quadratic Average: 13.236483573913574
Nearest Class Center Accuracy: 0.882

Output Layer:
Intra Cos: 0.7156388163566589
Inter Cos: -0.05066588521003723
Norm Quadratic Average: 10.136232376098633
Nearest Class Center Accuracy: 0.885

