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_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.250234603881836
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.216914176940918
Linear Weight Rank: 180
Intra Cos: 0.07091398537158966
Inter Cos: 0.0020704553462564945
Norm Quadratic Average: 13.971461296081543
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164748191833496
Linear Weight Rank: 180
Intra Cos: 0.10790178924798965
Inter Cos: 0.0017543372232466936
Norm Quadratic Average: 13.91517162322998
Nearest Class Center Accuracy: 0.918625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170748710632324
Linear Weight Rank: 180
Intra Cos: 0.12117038667201996
Inter Cos: 0.0005210196250118315
Norm Quadratic Average: 13.88204574584961
Nearest Class Center Accuracy: 0.931

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129578590393066
Linear Weight Rank: 179
Intra Cos: 0.14526961743831635
Inter Cos: -0.0011179097928106785
Norm Quadratic Average: 13.843621253967285
Nearest Class Center Accuracy: 0.96875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143439292907715
Linear Weight Rank: 180
Intra Cos: 0.18589965999126434
Inter Cos: -0.0028680642135441303
Norm Quadratic Average: 13.836075782775879
Nearest Class Center Accuracy: 0.99025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116998672485352
Linear Weight Rank: 179
Intra Cos: 0.23132717609405518
Inter Cos: -0.019584685564041138
Norm Quadratic Average: 13.83569622039795
Nearest Class Center Accuracy: 0.998

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113079071044922
Linear Weight Rank: 180
Intra Cos: 0.3186766505241394
Inter Cos: -0.03397732228040695
Norm Quadratic Average: 13.88064956665039
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0918939113616943
Linear Weight Rank: 4
Intra Cos: 0.47132664918899536
Inter Cos: -0.09627841413021088
Norm Quadratic Average: 14.03526782989502
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9637340307235718
Inter Cos: -0.10574211180210114
Norm Quadratic Average: 11.181485176086426
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.39517592334747315
Accuracy: 0.881
NC1 Within Class Collapse: 1.1997193098068237
NC2 Equinorm: Features: 0.009610339067876339, Weights: 0.05306323617696762
NC2 Equiangle: Features: 0.23811527093251547, Weights: 0.13159167766571045
NC3 Self-Duality: 0.23201608657836914
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.250234603881836
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.216914176940918
Linear Weight Rank: 180
Intra Cos: 0.07194436341524124
Inter Cos: 0.0038341176696121693
Norm Quadratic Average: 13.945303916931152
Nearest Class Center Accuracy: 0.8645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164748191833496
Linear Weight Rank: 180
Intra Cos: 0.1039942130446434
Inter Cos: 0.003138791536912322
Norm Quadratic Average: 13.906530380249023
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170748710632324
Linear Weight Rank: 180
Intra Cos: 0.11492352187633514
Inter Cos: 0.007103451993316412
Norm Quadratic Average: 13.879871368408203
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129578590393066
Linear Weight Rank: 179
Intra Cos: 0.12878850102424622
Inter Cos: -0.001355006592348218
Norm Quadratic Average: 13.841231346130371
Nearest Class Center Accuracy: 0.891

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143439292907715
Linear Weight Rank: 180
Intra Cos: 0.15338639914989471
Inter Cos: 0.0015953776892274618
Norm Quadratic Average: 13.860639572143555
Nearest Class Center Accuracy: 0.8875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.116998672485352
Linear Weight Rank: 179
Intra Cos: 0.18056195974349976
Inter Cos: -0.004584817215800285
Norm Quadratic Average: 13.809720039367676
Nearest Class Center Accuracy: 0.8795

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113079071044922
Linear Weight Rank: 180
Intra Cos: 0.2326911985874176
Inter Cos: -0.014485063031315804
Norm Quadratic Average: 13.673855781555176
Nearest Class Center Accuracy: 0.889

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0918939113616943
Linear Weight Rank: 4
Intra Cos: 0.3312239944934845
Inter Cos: -0.036394763737916946
Norm Quadratic Average: 13.500076293945312
Nearest Class Center Accuracy: 0.8865

Output Layer:
Intra Cos: 0.717504620552063
Inter Cos: -0.038221221417188644
Norm Quadratic Average: 10.33146858215332
Nearest Class Center Accuracy: 0.883

