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_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.087630271911621
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.1677422523498535
Linear Weight Rank: 179
Intra Cos: 0.07637858390808105
Inter Cos: 0.0053897094912827015
Norm Quadratic Average: 12.307645797729492
Nearest Class Center Accuracy: 0.86575

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.153357028961182
Linear Weight Rank: 179
Intra Cos: 0.10374218225479126
Inter Cos: 0.008901451714336872
Norm Quadratic Average: 12.252365112304688
Nearest Class Center Accuracy: 0.913

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084789276123047
Linear Weight Rank: 179
Intra Cos: 0.12935660779476166
Inter Cos: 0.009059328585863113
Norm Quadratic Average: 12.210958480834961
Nearest Class Center Accuracy: 0.940375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079092979431152
Linear Weight Rank: 179
Intra Cos: 0.15006057918071747
Inter Cos: 0.003727433504536748
Norm Quadratic Average: 12.136861801147461
Nearest Class Center Accuracy: 0.97325

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.088891983032227
Linear Weight Rank: 179
Intra Cos: 0.1859220266342163
Inter Cos: -0.001649008714593947
Norm Quadratic Average: 12.119214057922363
Nearest Class Center Accuracy: 0.99275

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.066065788269043
Linear Weight Rank: 180
Intra Cos: 0.25447654724121094
Inter Cos: -0.009671754203736782
Norm Quadratic Average: 12.083013534545898
Nearest Class Center Accuracy: 0.999875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058232307434082
Linear Weight Rank: 179
Intra Cos: 0.36226731538772583
Inter Cos: -0.05370885878801346
Norm Quadratic Average: 12.099466323852539
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9294682741165161
Linear Weight Rank: 4
Intra Cos: 0.5465838313102722
Inter Cos: -0.10888858884572983
Norm Quadratic Average: 12.25662899017334
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9634643793106079
Inter Cos: -0.16279572248458862
Norm Quadratic Average: 9.499202728271484
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38520001220703126
Accuracy: 0.8785
NC1 Within Class Collapse: 1.197279691696167
NC2 Equinorm: Features: 0.016239799559116364, Weights: 0.03957948833703995
NC2 Equiangle: Features: 0.21502182881037393, Weights: 0.12525155146916708
NC3 Self-Duality: 0.21915790438652039
NC4 NCC Mismatch: 0.007000000000000006

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.087630271911621
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: 7.1677422523498535
Linear Weight Rank: 179
Intra Cos: 0.07667689770460129
Inter Cos: 0.006514010950922966
Norm Quadratic Average: 12.287762641906738
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.153357028961182
Linear Weight Rank: 179
Intra Cos: 0.09872541576623917
Inter Cos: 0.0027158784214407206
Norm Quadratic Average: 12.272675514221191
Nearest Class Center Accuracy: 0.9005

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084789276123047
Linear Weight Rank: 179
Intra Cos: 0.1196838915348053
Inter Cos: 0.003744277637451887
Norm Quadratic Average: 12.216339111328125
Nearest Class Center Accuracy: 0.8965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079092979431152
Linear Weight Rank: 179
Intra Cos: 0.14062601327896118
Inter Cos: 0.001033393433317542
Norm Quadratic Average: 12.14500904083252
Nearest Class Center Accuracy: 0.8955

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.088891983032227
Linear Weight Rank: 179
Intra Cos: 0.16201773285865784
Inter Cos: -0.0027182241901755333
Norm Quadratic Average: 12.09566879272461
Nearest Class Center Accuracy: 0.8955

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.066065788269043
Linear Weight Rank: 180
Intra Cos: 0.2002214789390564
Inter Cos: -0.007159147411584854
Norm Quadratic Average: 11.97222900390625
Nearest Class Center Accuracy: 0.8935

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058232307434082
Linear Weight Rank: 179
Intra Cos: 0.25302502512931824
Inter Cos: -0.017285224050283432
Norm Quadratic Average: 11.842270851135254
Nearest Class Center Accuracy: 0.887

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9294682741165161
Linear Weight Rank: 4
Intra Cos: 0.360217809677124
Inter Cos: -0.05630337446928024
Norm Quadratic Average: 11.685670852661133
Nearest Class Center Accuracy: 0.8815

Output Layer:
Intra Cos: 0.6905074715614319
Inter Cos: -0.05719500035047531
Norm Quadratic Average: 8.71350383758545
Nearest Class Center Accuracy: 0.8835

