Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2385382652282715
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5459766387939453
Linear Weight Rank: 180
Intra Cos: 0.02946857176721096
Inter Cos: -0.005196847952902317
Norm Quadratic Average: 5.4004926681518555
Nearest Class Center Accuracy: 0.602

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4389960765838623
Linear Weight Rank: 180
Intra Cos: 0.03424610197544098
Inter Cos: -0.008474352769553661
Norm Quadratic Average: 5.381785869598389
Nearest Class Center Accuracy: 0.65975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3565516471862793
Linear Weight Rank: 179
Intra Cos: 0.04177354276180267
Inter Cos: -0.010923672467470169
Norm Quadratic Average: 5.371660232543945
Nearest Class Center Accuracy: 0.755875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2654025554656982
Linear Weight Rank: 180
Intra Cos: 0.06274650990962982
Inter Cos: -0.01440013013780117
Norm Quadratic Average: 5.354309558868408
Nearest Class Center Accuracy: 0.861

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1940746307373047
Linear Weight Rank: 180
Intra Cos: 0.0863301157951355
Inter Cos: -0.023352298885583878
Norm Quadratic Average: 5.346558094024658
Nearest Class Center Accuracy: 0.961625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.138819456100464
Linear Weight Rank: 180
Intra Cos: 0.18942736089229584
Inter Cos: -0.052782874554395676
Norm Quadratic Average: 5.349490642547607
Nearest Class Center Accuracy: 0.998375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1218056678771973
Linear Weight Rank: 179
Intra Cos: 0.42687439918518066
Inter Cos: -0.12877009809017181
Norm Quadratic Average: 5.380856513977051
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8262085914611816
Linear Weight Rank: 4
Intra Cos: 0.8452275991439819
Inter Cos: -0.22240447998046875
Norm Quadratic Average: 5.730533599853516
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9833514094352722
Inter Cos: -0.2404586374759674
Norm Quadratic Average: 5.351480960845947
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7976204814910889
Accuracy: 0.738
NC1 Within Class Collapse: 2.913158416748047
NC2 Equinorm: Features: 0.07430185377597809, Weights: 0.03131239488720894
NC2 Equiangle: Features: 0.06202885011831919, Weights: 0.02582030991713206
NC3 Self-Duality: 0.09834152460098267
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2385382652282715
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.5459766387939453
Linear Weight Rank: 180
Intra Cos: 0.02675125189125538
Inter Cos: -0.0050931465812027454
Norm Quadratic Average: 5.408050537109375
Nearest Class Center Accuracy: 0.5975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4389960765838623
Linear Weight Rank: 180
Intra Cos: 0.02916179969906807
Inter Cos: -0.0074976105242967606
Norm Quadratic Average: 5.37478494644165
Nearest Class Center Accuracy: 0.65

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3565516471862793
Linear Weight Rank: 179
Intra Cos: 0.0315794013440609
Inter Cos: -0.009341550059616566
Norm Quadratic Average: 5.348714351654053
Nearest Class Center Accuracy: 0.6895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2654025554656982
Linear Weight Rank: 180
Intra Cos: 0.0418013259768486
Inter Cos: -0.009482872672379017
Norm Quadratic Average: 5.287245750427246
Nearest Class Center Accuracy: 0.722

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1940746307373047
Linear Weight Rank: 180
Intra Cos: 0.05097882077097893
Inter Cos: -0.010092606768012047
Norm Quadratic Average: 5.239926815032959
Nearest Class Center Accuracy: 0.7345

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.138819456100464
Linear Weight Rank: 180
Intra Cos: 0.08895931392908096
Inter Cos: -0.013697394169867039
Norm Quadratic Average: 5.128077030181885
Nearest Class Center Accuracy: 0.743

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1218056678771973
Linear Weight Rank: 179
Intra Cos: 0.17226248979568481
Inter Cos: -0.017237894237041473
Norm Quadratic Average: 4.950465679168701
Nearest Class Center Accuracy: 0.7435

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8262085914611816
Linear Weight Rank: 4
Intra Cos: 0.33842089772224426
Inter Cos: -0.07120056450366974
Norm Quadratic Average: 4.861940383911133
Nearest Class Center Accuracy: 0.7385

Output Layer:
Intra Cos: 0.4362976551055908
Inter Cos: -0.10671569406986237
Norm Quadratic Average: 4.34393310546875
Nearest Class Center Accuracy: 0.738

