Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.187856674194336
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.449410438537598
Linear Weight Rank: 180
Intra Cos: 0.012679689563810825
Inter Cos: 0.005348647478967905
Norm Quadratic Average: 12.253561973571777
Nearest Class Center Accuracy: 0.4615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.33836555480957
Linear Weight Rank: 179
Intra Cos: 0.012087900191545486
Inter Cos: 0.003998115658760071
Norm Quadratic Average: 12.21993637084961
Nearest Class Center Accuracy: 0.482625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.303538799285889
Linear Weight Rank: 180
Intra Cos: 0.011959802359342575
Inter Cos: 0.001318343449383974
Norm Quadratic Average: 12.203415870666504
Nearest Class Center Accuracy: 0.518875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.209280014038086
Linear Weight Rank: 179
Intra Cos: 0.01642868109047413
Inter Cos: -0.0002010335447266698
Norm Quadratic Average: 12.17313003540039
Nearest Class Center Accuracy: 0.586

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1559977531433105
Linear Weight Rank: 179
Intra Cos: 0.023302637040615082
Inter Cos: -0.0027029751800000668
Norm Quadratic Average: 12.204022407531738
Nearest Class Center Accuracy: 0.70525

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1341328620910645
Linear Weight Rank: 180
Intra Cos: 0.041497472673654556
Inter Cos: -0.0065084099769592285
Norm Quadratic Average: 12.220479011535645
Nearest Class Center Accuracy: 0.896875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08884859085083
Linear Weight Rank: 179
Intra Cos: 0.09466743469238281
Inter Cos: -0.016427312046289444
Norm Quadratic Average: 12.234039306640625
Nearest Class Center Accuracy: 0.99825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4923644065856934
Linear Weight Rank: 4
Intra Cos: 0.29509615898132324
Inter Cos: -0.07333708554506302
Norm Quadratic Average: 12.599527359008789
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9182628393173218
Inter Cos: -0.21658895909786224
Norm Quadratic Average: 10.022233963012695
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.3939255905151366
Accuracy: 0.505
NC1 Within Class Collapse: 16.015106201171875
NC2 Equinorm: Features: 0.09319841116666794, Weights: 0.012486739084124565
NC2 Equiangle: Features: 0.2493457794189453, Weights: 0.05063821872075399
NC3 Self-Duality: 0.22333797812461853
NC4 NCC Mismatch: 0.0685

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.187856674194336
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.449410438537598
Linear Weight Rank: 180
Intra Cos: 0.01248873583972454
Inter Cos: 0.004912814125418663
Norm Quadratic Average: 12.197244644165039
Nearest Class Center Accuracy: 0.4655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.33836555480957
Linear Weight Rank: 179
Intra Cos: 0.011751440353691578
Inter Cos: 0.004318586550652981
Norm Quadratic Average: 12.148428916931152
Nearest Class Center Accuracy: 0.484

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.303538799285889
Linear Weight Rank: 180
Intra Cos: 0.008513685315847397
Inter Cos: 0.0018798357341438532
Norm Quadratic Average: 12.155254364013672
Nearest Class Center Accuracy: 0.5025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.209280014038086
Linear Weight Rank: 179
Intra Cos: 0.009305810555815697
Inter Cos: 0.0011276681907474995
Norm Quadratic Average: 12.025524139404297
Nearest Class Center Accuracy: 0.5065

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1559977531433105
Linear Weight Rank: 179
Intra Cos: 0.00878834631294012
Inter Cos: 0.0011958512477576733
Norm Quadratic Average: 12.012381553649902
Nearest Class Center Accuracy: 0.504

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1341328620910645
Linear Weight Rank: 180
Intra Cos: 0.009174298495054245
Inter Cos: -0.00012998751481063664
Norm Quadratic Average: 11.887843132019043
Nearest Class Center Accuracy: 0.523

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08884859085083
Linear Weight Rank: 179
Intra Cos: 0.012376544065773487
Inter Cos: 0.0004393178678583354
Norm Quadratic Average: 11.561731338500977
Nearest Class Center Accuracy: 0.518

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4923644065856934
Linear Weight Rank: 4
Intra Cos: 0.030842715874314308
Inter Cos: 0.0037613697350025177
Norm Quadratic Average: 11.041902542114258
Nearest Class Center Accuracy: 0.5095

Output Layer:
Intra Cos: 0.12502849102020264
Inter Cos: 0.01419063936918974
Norm Quadratic Average: 7.343170166015625
Nearest Class Center Accuracy: 0.504

