Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_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: 7.141263961791992
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 7.142909526824951
Linear Weight Rank: 180
Intra Cos: 0.07215206325054169
Inter Cos: 0.005244082305580378
Norm Quadratic Average: 12.289748191833496
Nearest Class Center Accuracy: 0.871625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.102275848388672
Linear Weight Rank: 179
Intra Cos: 0.10184164345264435
Inter Cos: 0.004596631042659283
Norm Quadratic Average: 12.23908805847168
Nearest Class Center Accuracy: 0.914

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.128474712371826
Linear Weight Rank: 179
Intra Cos: 0.1314409077167511
Inter Cos: 0.0044204774312675
Norm Quadratic Average: 12.227649688720703
Nearest Class Center Accuracy: 0.946875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081753253936768
Linear Weight Rank: 179
Intra Cos: 0.16672691702842712
Inter Cos: -0.006469618529081345
Norm Quadratic Average: 12.189803123474121
Nearest Class Center Accuracy: 0.97975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.078580856323242
Linear Weight Rank: 179
Intra Cos: 0.199095219373703
Inter Cos: 0.002552672754973173
Norm Quadratic Average: 12.150716781616211
Nearest Class Center Accuracy: 0.9905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0999274253845215
Linear Weight Rank: 180
Intra Cos: 0.23836059868335724
Inter Cos: -0.011456243693828583
Norm Quadratic Average: 12.107606887817383
Nearest Class Center Accuracy: 0.998375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079173564910889
Linear Weight Rank: 179
Intra Cos: 0.3283226490020752
Inter Cos: -0.043732963502407074
Norm Quadratic Average: 12.119556427001953
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.922419786453247
Linear Weight Rank: 4
Intra Cos: 0.49835553765296936
Inter Cos: -0.1090814396739006
Norm Quadratic Average: 12.259689331054688
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9674519300460815
Inter Cos: -0.1667703539133072
Norm Quadratic Average: 9.273242950439453
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.325369797706604
Accuracy: 0.8905
NC1 Within Class Collapse: 1.1330878734588623
NC2 Equinorm: Features: 0.00682789133861661, Weights: 0.015482226386666298
NC2 Equiangle: Features: 0.21782350540161133, Weights: 0.08687458435694377
NC3 Self-Duality: 0.22613096237182617
NC4 NCC Mismatch: 0.017000000000000015

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.141263961791992
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.142909526824951
Linear Weight Rank: 180
Intra Cos: 0.07064776122570038
Inter Cos: 0.005589223932474852
Norm Quadratic Average: 12.278315544128418
Nearest Class Center Accuracy: 0.8785

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.102275848388672
Linear Weight Rank: 179
Intra Cos: 0.09980291873216629
Inter Cos: 0.004553960170596838
Norm Quadratic Average: 12.229111671447754
Nearest Class Center Accuracy: 0.899

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.128474712371826
Linear Weight Rank: 179
Intra Cos: 0.11964062601327896
Inter Cos: -0.003405621275305748
Norm Quadratic Average: 12.225601196289062
Nearest Class Center Accuracy: 0.9035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081753253936768
Linear Weight Rank: 179
Intra Cos: 0.1534067839384079
Inter Cos: -0.00244279601611197
Norm Quadratic Average: 12.188295364379883
Nearest Class Center Accuracy: 0.9075

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.078580856323242
Linear Weight Rank: 179
Intra Cos: 0.16628436744213104
Inter Cos: 0.009381217882037163
Norm Quadratic Average: 12.117802619934082
Nearest Class Center Accuracy: 0.9005

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0999274253845215
Linear Weight Rank: 180
Intra Cos: 0.1895008236169815
Inter Cos: 0.0021619354374706745
Norm Quadratic Average: 11.995699882507324
Nearest Class Center Accuracy: 0.9065

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079173564910889
Linear Weight Rank: 179
Intra Cos: 0.2410532385110855
Inter Cos: -0.021604269742965698
Norm Quadratic Average: 11.870043754577637
Nearest Class Center Accuracy: 0.9005

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.922419786453247
Linear Weight Rank: 4
Intra Cos: 0.35427334904670715
Inter Cos: -0.045551471412181854
Norm Quadratic Average: 11.688491821289062
Nearest Class Center Accuracy: 0.893

Output Layer:
Intra Cos: 0.7100214958190918
Inter Cos: -0.06492981314659119
Norm Quadratic Average: 8.476496696472168
Nearest Class Center Accuracy: 0.8955

