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_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.8717851638793945
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.04663610458374
Linear Weight Rank: 180
Intra Cos: 0.02609504945576191
Inter Cos: -0.002768871607258916
Norm Quadratic Average: 10.136749267578125
Nearest Class Center Accuracy: 0.58525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.9981279373168945
Linear Weight Rank: 179
Intra Cos: 0.02711230143904686
Inter Cos: -0.0015668824780732393
Norm Quadratic Average: 10.115957260131836
Nearest Class Center Accuracy: 0.631625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.913872718811035
Linear Weight Rank: 179
Intra Cos: 0.03173290565609932
Inter Cos: -0.004130071960389614
Norm Quadratic Average: 10.079050064086914
Nearest Class Center Accuracy: 0.70125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.884909629821777
Linear Weight Rank: 180
Intra Cos: 0.041248876601457596
Inter Cos: -0.0108483312651515
Norm Quadratic Average: 10.057408332824707
Nearest Class Center Accuracy: 0.783125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.87255334854126
Linear Weight Rank: 179
Intra Cos: 0.05794299393892288
Inter Cos: -0.01580987684428692
Norm Quadratic Average: 10.029204368591309
Nearest Class Center Accuracy: 0.90425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.839256286621094
Linear Weight Rank: 180
Intra Cos: 0.10451800376176834
Inter Cos: -0.024374503642320633
Norm Quadratic Average: 10.008298873901367
Nearest Class Center Accuracy: 0.988625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826822280883789
Linear Weight Rank: 179
Intra Cos: 0.2352076917886734
Inter Cos: -0.0600542277097702
Norm Quadratic Average: 10.007821083068848
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0077402591705322
Linear Weight Rank: 4
Intra Cos: 0.5165291428565979
Inter Cos: -0.1516478955745697
Norm Quadratic Average: 10.254669189453125
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9484930634498596
Inter Cos: -0.21974432468414307
Norm Quadratic Average: 8.416389465332031
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0885042762756347
Accuracy: 0.7015
NC1 Within Class Collapse: 3.675668478012085
NC2 Equinorm: Features: 0.038795411586761475, Weights: 0.03358672931790352
NC2 Equiangle: Features: 0.06528209646542867, Weights: 0.06277090311050415
NC3 Self-Duality: 0.1550777554512024
NC4 NCC Mismatch: 0.02949999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.8717851638793945
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 6.04663610458374
Linear Weight Rank: 180
Intra Cos: 0.02430633269250393
Inter Cos: -0.002117413328960538
Norm Quadratic Average: 10.178625106811523
Nearest Class Center Accuracy: 0.578

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.9981279373168945
Linear Weight Rank: 179
Intra Cos: 0.023986535146832466
Inter Cos: -0.000641946739051491
Norm Quadratic Average: 10.138915061950684
Nearest Class Center Accuracy: 0.623

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.913872718811035
Linear Weight Rank: 179
Intra Cos: 0.026295265182852745
Inter Cos: -0.003073454136028886
Norm Quadratic Average: 10.072193145751953
Nearest Class Center Accuracy: 0.6605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.884909629821777
Linear Weight Rank: 180
Intra Cos: 0.02950897067785263
Inter Cos: -0.005857997573912144
Norm Quadratic Average: 9.995138168334961
Nearest Class Center Accuracy: 0.6885

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.87255334854126
Linear Weight Rank: 179
Intra Cos: 0.031901340931653976
Inter Cos: -0.00498519791290164
Norm Quadratic Average: 9.861281394958496
Nearest Class Center Accuracy: 0.702

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.839256286621094
Linear Weight Rank: 180
Intra Cos: 0.04572612792253494
Inter Cos: -0.005638061091303825
Norm Quadratic Average: 9.731637001037598
Nearest Class Center Accuracy: 0.696

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826822280883789
Linear Weight Rank: 179
Intra Cos: 0.08501599729061127
Inter Cos: -0.017756642773747444
Norm Quadratic Average: 9.481766700744629
Nearest Class Center Accuracy: 0.705

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0077402591705322
Linear Weight Rank: 4
Intra Cos: 0.16877372562885284
Inter Cos: -0.04192319139838219
Norm Quadratic Average: 9.137253761291504
Nearest Class Center Accuracy: 0.6995

Output Layer:
Intra Cos: 0.3796657919883728
Inter Cos: -0.08643727004528046
Norm Quadratic Average: 6.870838642120361
Nearest Class Center Accuracy: 0.701

