Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.864713191986084
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.001758486032485962
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: 7.762600421905518
Linear Weight Rank: 179
Intra Cos: 0.05899140611290932
Inter Cos: 0.005245926324278116
Norm Quadratic Average: 4.611899375915527
Nearest Class Center Accuracy: 0.807375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744770050048828
Linear Weight Rank: 179
Intra Cos: 0.05646340176463127
Inter Cos: 0.005647451616823673
Norm Quadratic Average: 1.652758240699768
Nearest Class Center Accuracy: 0.724125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7687554359436035
Linear Weight Rank: 180
Intra Cos: 0.05853622406721115
Inter Cos: 0.008356761187314987
Norm Quadratic Average: 0.5936174392700195
Nearest Class Center Accuracy: 0.662375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.741857051849365
Linear Weight Rank: 180
Intra Cos: 0.05852070823311806
Inter Cos: 0.011414578184485435
Norm Quadratic Average: 0.21766629815101624
Nearest Class Center Accuracy: 0.662875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.762561798095703
Linear Weight Rank: 180
Intra Cos: 0.0561874620616436
Inter Cos: 0.005559762939810753
Norm Quadratic Average: 0.08401142060756683
Nearest Class Center Accuracy: 0.6205

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742839813232422
Linear Weight Rank: 180
Intra Cos: 0.05736728757619858
Inter Cos: 0.018757609650492668
Norm Quadratic Average: 0.03138400614261627
Nearest Class Center Accuracy: 0.606875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.741982460021973
Linear Weight Rank: 180
Intra Cos: 0.051597949117422104
Inter Cos: 0.017557114362716675
Norm Quadratic Average: 0.011319235898554325
Nearest Class Center Accuracy: 0.574875

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.753777027130127
Linear Weight Rank: 179
Intra Cos: 0.056588977575302124
Inter Cos: 0.01609080098569393
Norm Quadratic Average: 0.004560563713312149
Nearest Class Center Accuracy: 0.574625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76602029800415
Linear Weight Rank: 179
Intra Cos: 0.06109033524990082
Inter Cos: 0.01714569702744484
Norm Quadratic Average: 0.0017869847360998392
Nearest Class Center Accuracy: 0.58025

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.772017955780029
Linear Weight Rank: 179
Intra Cos: 0.040291979908943176
Inter Cos: 0.004805062431842089
Norm Quadratic Average: 0.000677010859362781
Nearest Class Center Accuracy: 0.55175

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0991671085357666
Linear Weight Rank: 4
Intra Cos: 0.030731555074453354
Inter Cos: 0.005456157959997654
Norm Quadratic Average: 0.0002695932926144451
Nearest Class Center Accuracy: 0.521375

Output Layer:
Intra Cos: 0.022092970088124275
Inter Cos: 0.06274386495351791
Norm Quadratic Average: 2.207378565799445e-05
Nearest Class Center Accuracy: 0.420875

Test Set:
Average Loss: 1.3874933242797851
Accuracy: 0.257
NC1 Within Class Collapse: 53.88014221191406
NC2 Equinorm: Features: 0.42220595479011536, Weights: 0.036158204078674316
NC2 Equiangle: Features: 0.41895254453023273, Weights: 0.29929254452387494
NC3 Self-Duality: 1.833360195159912
NC4 NCC Mismatch: 0.6815

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.864713191986084
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 7.762600421905518
Linear Weight Rank: 179
Intra Cos: 0.06061987578868866
Inter Cos: 0.0026620589196681976
Norm Quadratic Average: 4.603044509887695
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.744770050048828
Linear Weight Rank: 179
Intra Cos: 0.055657804012298584
Inter Cos: 0.0048036761581897736
Norm Quadratic Average: 1.6484829187393188
Nearest Class Center Accuracy: 0.7375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7687554359436035
Linear Weight Rank: 180
Intra Cos: 0.059895291924476624
Inter Cos: 0.00928865559399128
Norm Quadratic Average: 0.5927355885505676
Nearest Class Center Accuracy: 0.6895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.741857051849365
Linear Weight Rank: 180
Intra Cos: 0.058671560138463974
Inter Cos: 0.00899847038090229
Norm Quadratic Average: 0.21716779470443726
Nearest Class Center Accuracy: 0.688

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.762561798095703
Linear Weight Rank: 180
Intra Cos: 0.05538693442940712
Inter Cos: 0.011536323465406895
Norm Quadratic Average: 0.08390531688928604
Nearest Class Center Accuracy: 0.636

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742839813232422
Linear Weight Rank: 180
Intra Cos: 0.05657252296805382
Inter Cos: 0.027840932831168175
Norm Quadratic Average: 0.031495336443185806
Nearest Class Center Accuracy: 0.618

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.741982460021973
Linear Weight Rank: 180
Intra Cos: 0.050299569964408875
Inter Cos: 0.027483325451612473
Norm Quadratic Average: 0.011352354660630226
Nearest Class Center Accuracy: 0.592

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.753777027130127
Linear Weight Rank: 179
Intra Cos: 0.05535630136728287
Inter Cos: 0.02925257571041584
Norm Quadratic Average: 0.0045702229253947735
Nearest Class Center Accuracy: 0.594

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76602029800415
Linear Weight Rank: 179
Intra Cos: 0.060542039573192596
Inter Cos: 0.0328589603304863
Norm Quadratic Average: 0.0017963411519303918
Nearest Class Center Accuracy: 0.5985

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.772017955780029
Linear Weight Rank: 179
Intra Cos: 0.035949233919382095
Inter Cos: 0.013971187174320221
Norm Quadratic Average: 0.0006810883642174304
Nearest Class Center Accuracy: 0.561

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0991671085357666
Linear Weight Rank: 4
Intra Cos: 0.026458043605089188
Inter Cos: 0.019943995401263237
Norm Quadratic Average: 0.000271301600150764
Nearest Class Center Accuracy: 0.526

Output Layer:
Intra Cos: 0.01916618086397648
Inter Cos: 0.07445524632930756
Norm Quadratic Average: 2.2280206394498236e-05
Nearest Class Center Accuracy: 0.4205

