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_265358_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.526730537414551
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 6.516490459442139
Linear Weight Rank: 180
Intra Cos: 0.07175371795892715
Inter Cos: 0.0023544514551758766
Norm Quadratic Average: 11.129020690917969
Nearest Class Center Accuracy: 0.866125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.467689514160156
Linear Weight Rank: 179
Intra Cos: 0.11082933843135834
Inter Cos: 0.003096617991104722
Norm Quadratic Average: 11.086332321166992
Nearest Class Center Accuracy: 0.92375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4682936668396
Linear Weight Rank: 180
Intra Cos: 0.13094116747379303
Inter Cos: -0.0013700504787266254
Norm Quadratic Average: 11.068387985229492
Nearest Class Center Accuracy: 0.936

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.432600975036621
Linear Weight Rank: 179
Intra Cos: 0.16094014048576355
Inter Cos: 0.0011641152668744326
Norm Quadratic Average: 11.041081428527832
Nearest Class Center Accuracy: 0.97375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441422462463379
Linear Weight Rank: 180
Intra Cos: 0.20695482194423676
Inter Cos: -0.0008476066868752241
Norm Quadratic Average: 11.049834251403809
Nearest Class Center Accuracy: 0.99275

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.419259071350098
Linear Weight Rank: 179
Intra Cos: 0.26520922780036926
Inter Cos: -0.02668210305273533
Norm Quadratic Average: 11.04172134399414
Nearest Class Center Accuracy: 0.99875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.415665626525879
Linear Weight Rank: 180
Intra Cos: 0.3818431794643402
Inter Cos: -0.052708324044942856
Norm Quadratic Average: 11.044845581054688
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8430994749069214
Linear Weight Rank: 4
Intra Cos: 0.5743487477302551
Inter Cos: -0.12521661818027496
Norm Quadratic Average: 11.190888404846191
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9703537225723267
Inter Cos: -0.14994880557060242
Norm Quadratic Average: 8.563604354858398
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3368103532791138
Accuracy: 0.8865
NC1 Within Class Collapse: 1.0586614608764648
NC2 Equinorm: Features: 0.014789578504860401, Weights: 0.050709307193756104
NC2 Equiangle: Features: 0.2082553505897522, Weights: 0.10658872127532959
NC3 Self-Duality: 0.20067578554153442
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.526730537414551
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: 6.516490459442139
Linear Weight Rank: 180
Intra Cos: 0.07284703850746155
Inter Cos: 0.0038313455879688263
Norm Quadratic Average: 11.110187530517578
Nearest Class Center Accuracy: 0.8695

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.467689514160156
Linear Weight Rank: 179
Intra Cos: 0.10728960484266281
Inter Cos: 0.0024452167563140392
Norm Quadratic Average: 11.084858894348145
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.4682936668396
Linear Weight Rank: 180
Intra Cos: 0.12420137226581573
Inter Cos: 0.005396801978349686
Norm Quadratic Average: 11.065187454223633
Nearest Class Center Accuracy: 0.895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.432600975036621
Linear Weight Rank: 179
Intra Cos: 0.14219795167446136
Inter Cos: 0.0009578183526173234
Norm Quadratic Average: 11.042186737060547
Nearest Class Center Accuracy: 0.891

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441422462463379
Linear Weight Rank: 180
Intra Cos: 0.16978426277637482
Inter Cos: -0.0019237593514844775
Norm Quadratic Average: 11.066838264465332
Nearest Class Center Accuracy: 0.9

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.419259071350098
Linear Weight Rank: 179
Intra Cos: 0.20341916382312775
Inter Cos: -0.011020941659808159
Norm Quadratic Average: 11.004132270812988
Nearest Class Center Accuracy: 0.893

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.415665626525879
Linear Weight Rank: 180
Intra Cos: 0.274638831615448
Inter Cos: -0.02077975682914257
Norm Quadratic Average: 10.8283109664917
Nearest Class Center Accuracy: 0.899

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8430994749069214
Linear Weight Rank: 4
Intra Cos: 0.3935549557209015
Inter Cos: -0.045058779418468475
Norm Quadratic Average: 10.641721725463867
Nearest Class Center Accuracy: 0.891

Output Layer:
Intra Cos: 0.718212366104126
Inter Cos: -0.03504155948758125
Norm Quadratic Average: 7.835765361785889
Nearest Class Center Accuracy: 0.8885

