Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.205414772033691
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 8.162700653076172
Linear Weight Rank: 179
Intra Cos: 0.05385267361998558
Inter Cos: 0.005664994940161705
Norm Quadratic Average: 4.8612470626831055
Nearest Class Center Accuracy: 0.806875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.144957542419434
Linear Weight Rank: 179
Intra Cos: 0.05508089065551758
Inter Cos: 0.011101977899670601
Norm Quadratic Average: 1.762580156326294
Nearest Class Center Accuracy: 0.71825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117631912231445
Linear Weight Rank: 179
Intra Cos: 0.05509139224886894
Inter Cos: 0.01219712384045124
Norm Quadratic Average: 0.6784846782684326
Nearest Class Center Accuracy: 0.695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134317398071289
Linear Weight Rank: 180
Intra Cos: 0.058444783091545105
Inter Cos: 0.007911955006420612
Norm Quadratic Average: 0.27396637201309204
Nearest Class Center Accuracy: 0.652875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126130104064941
Linear Weight Rank: 179
Intra Cos: 0.06789305806159973
Inter Cos: 0.017844222486019135
Norm Quadratic Average: 0.11285855621099472
Nearest Class Center Accuracy: 0.63225

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13297176361084
Linear Weight Rank: 180
Intra Cos: 0.08394654840230942
Inter Cos: 0.01764574460685253
Norm Quadratic Average: 0.044297780841588974
Nearest Class Center Accuracy: 0.627375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122428894042969
Linear Weight Rank: 179
Intra Cos: 0.09623667597770691
Inter Cos: 0.009345578961074352
Norm Quadratic Average: 0.019171498715877533
Nearest Class Center Accuracy: 0.61375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1627668142318726
Linear Weight Rank: 4
Intra Cos: 0.11858056485652924
Inter Cos: 0.010657582432031631
Norm Quadratic Average: 0.008355451747775078
Nearest Class Center Accuracy: 0.59275

Output Layer:
Intra Cos: 0.25495439767837524
Inter Cos: 0.0435771569609642
Norm Quadratic Average: 0.0012879582354798913
Nearest Class Center Accuracy: 0.607

Test Set:
Average Loss: 1.3869804306030273
Accuracy: 0.257
NC1 Within Class Collapse: 60.41424560546875
NC2 Equinorm: Features: 0.1261662393808365, Weights: 0.048469118773937225
NC2 Equiangle: Features: 0.43800143400828045, Weights: 0.37218109766642254
NC3 Self-Duality: 1.4495912790298462
NC4 NCC Mismatch: 0.7284999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.205414772033691
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: 8.162700653076172
Linear Weight Rank: 179
Intra Cos: 0.05201365426182747
Inter Cos: 0.0029099001549184322
Norm Quadratic Average: 4.853993892669678
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.144957542419434
Linear Weight Rank: 179
Intra Cos: 0.05192868411540985
Inter Cos: 0.005860157776623964
Norm Quadratic Average: 1.756263256072998
Nearest Class Center Accuracy: 0.724

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117631912231445
Linear Weight Rank: 179
Intra Cos: 0.05003485828638077
Inter Cos: 0.005999452900141478
Norm Quadratic Average: 0.6770156621932983
Nearest Class Center Accuracy: 0.7005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134317398071289
Linear Weight Rank: 180
Intra Cos: 0.054630961269140244
Inter Cos: 0.011655224487185478
Norm Quadratic Average: 0.27312126755714417
Nearest Class Center Accuracy: 0.664

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126130104064941
Linear Weight Rank: 179
Intra Cos: 0.06405231356620789
Inter Cos: 0.022414494305849075
Norm Quadratic Average: 0.11289345473051071
Nearest Class Center Accuracy: 0.6425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13297176361084
Linear Weight Rank: 180
Intra Cos: 0.07928741723299026
Inter Cos: 0.020966701209545135
Norm Quadratic Average: 0.04416567459702492
Nearest Class Center Accuracy: 0.6295

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122428894042969
Linear Weight Rank: 179
Intra Cos: 0.09081694483757019
Inter Cos: 0.013986453413963318
Norm Quadratic Average: 0.019082482904195786
Nearest Class Center Accuracy: 0.62

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1627668142318726
Linear Weight Rank: 4
Intra Cos: 0.11278492957353592
Inter Cos: 0.009579038247466087
Norm Quadratic Average: 0.008298246189951897
Nearest Class Center Accuracy: 0.6015

Output Layer:
Intra Cos: 0.2323477864265442
Inter Cos: 0.04598584771156311
Norm Quadratic Average: 0.0012778870295733213
Nearest Class Center Accuracy: 0.5945

