Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_test_samples_1000_train_samples_4000_weight_decay_0.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 18.37408447265625
Linear Weight Rank: 16
Intra Cos: 0.015340002253651619
Inter Cos: 0.003683812217786908
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 25.81353759765625
Linear Weight Rank: 174
Intra Cos: 0.013268117792904377
Inter Cos: 0.002608799608424306
Norm Quadratic Average: 14.282188415527344
Nearest Class Center Accuracy: 0.48325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 24.784963607788086
Linear Weight Rank: 176
Intra Cos: 0.018502812832593918
Inter Cos: 0.0027573879342526197
Norm Quadratic Average: 14.255853652954102
Nearest Class Center Accuracy: 0.53775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.543760299682617
Linear Weight Rank: 176
Intra Cos: 0.028835786506533623
Inter Cos: 0.003697656560689211
Norm Quadratic Average: 14.192222595214844
Nearest Class Center Accuracy: 0.66225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.136991500854492
Linear Weight Rank: 177
Intra Cos: 0.05603686720132828
Inter Cos: 0.0004217616515234113
Norm Quadratic Average: 14.186150550842285
Nearest Class Center Accuracy: 0.81675

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.575687408447266
Linear Weight Rank: 177
Intra Cos: 0.10400097072124481
Inter Cos: -0.017150774598121643
Norm Quadratic Average: 14.150257110595703
Nearest Class Center Accuracy: 0.93

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.710371017456055
Linear Weight Rank: 178
Intra Cos: 0.18772351741790771
Inter Cos: -0.05048101395368576
Norm Quadratic Average: 14.134115219116211
Nearest Class Center Accuracy: 0.987

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.424162864685059
Linear Weight Rank: 178
Intra Cos: 0.30145901441574097
Inter Cos: -0.1087251678109169
Norm Quadratic Average: 14.168295860290527
Nearest Class Center Accuracy: 0.99725

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.557316780090332
Linear Weight Rank: 179
Intra Cos: 0.4115605056285858
Inter Cos: -0.14533387124538422
Norm Quadratic Average: 14.19347858428955
Nearest Class Center Accuracy: 0.9985

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.000020027160645
Linear Weight Rank: 179
Intra Cos: 0.483411967754364
Inter Cos: -0.1900813728570938
Norm Quadratic Average: 14.206408500671387
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.576205253601074
Linear Weight Rank: 178
Intra Cos: 0.5558432936668396
Inter Cos: -0.19629652798175812
Norm Quadratic Average: 14.22768783569336
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.34526538848877
Linear Weight Rank: 179
Intra Cos: 0.6201300621032715
Inter Cos: -0.20901404321193695
Norm Quadratic Average: 14.265202522277832
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.246689796447754
Linear Weight Rank: 178
Intra Cos: 0.7071127891540527
Inter Cos: -0.21965666115283966
Norm Quadratic Average: 14.392565727233887
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.509649276733398
Linear Weight Rank: 178
Intra Cos: 0.7520837187767029
Inter Cos: -0.19952820241451263
Norm Quadratic Average: 14.602278709411621
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.897202491760254
Linear Weight Rank: 4
Intra Cos: 0.7103404998779297
Inter Cos: -0.1476830691099167
Norm Quadratic Average: 10.207286834716797
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9230066537857056
Inter Cos: -0.23811636865139008
Norm Quadratic Average: 11.3461275100708
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 3.5242367248535156
Accuracy: 0.496
NC1 Within Class Collapse: 28.249258041381836
NC2 Equinorm: Features: 0.12766382098197937, Weights: 0.009080535732209682
NC2 Equiangle: Features: 0.1976175308227539, Weights: 0.04538707435131073
NC3 Self-Duality: 0.49227529764175415
NC4 NCC Mismatch: 0.13

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 18.37408447265625
Linear Weight Rank: 16
Intra Cos: 0.012989891692996025
Inter Cos: 0.007593181449919939
Norm Quadratic Average: 3.9882304668426514
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 25.81353759765625
Linear Weight Rank: 174
Intra Cos: 0.01080414094030857
Inter Cos: 0.006852341815829277
Norm Quadratic Average: 14.367254257202148
Nearest Class Center Accuracy: 0.493

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 24.784963607788086
Linear Weight Rank: 176
Intra Cos: 0.01249118521809578
Inter Cos: 0.004492552950978279
Norm Quadratic Average: 14.34991455078125
Nearest Class Center Accuracy: 0.523

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 21.543760299682617
Linear Weight Rank: 176
Intra Cos: 0.012326575815677643
Inter Cos: 0.005945881828665733
Norm Quadratic Average: 14.175616264343262
Nearest Class Center Accuracy: 0.517

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.136991500854492
Linear Weight Rank: 177
Intra Cos: 0.014357905834913254
Inter Cos: 0.010859793983399868
Norm Quadratic Average: 13.95329761505127
Nearest Class Center Accuracy: 0.528

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.575687408447266
Linear Weight Rank: 177
Intra Cos: 0.018800418823957443
Inter Cos: 0.010248620063066483
Norm Quadratic Average: 13.514181137084961
Nearest Class Center Accuracy: 0.535

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.710371017456055
Linear Weight Rank: 178
Intra Cos: 0.024270107969641685
Inter Cos: 0.008880337700247765
Norm Quadratic Average: 12.951152801513672
Nearest Class Center Accuracy: 0.534

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.424162864685059
Linear Weight Rank: 178
Intra Cos: 0.029146729037165642
Inter Cos: 0.014154271222651005
Norm Quadratic Average: 12.407563209533691
Nearest Class Center Accuracy: 0.53

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.557316780090332
Linear Weight Rank: 179
Intra Cos: 0.035942889750003815
Inter Cos: 0.013326908461749554
Norm Quadratic Average: 11.983760833740234
Nearest Class Center Accuracy: 0.52

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.000020027160645
Linear Weight Rank: 179
Intra Cos: 0.03625146672129631
Inter Cos: 0.0180695541203022
Norm Quadratic Average: 11.701242446899414
Nearest Class Center Accuracy: 0.516

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.576205253601074
Linear Weight Rank: 178
Intra Cos: 0.03570454567670822
Inter Cos: 0.019850239157676697
Norm Quadratic Average: 11.670687675476074
Nearest Class Center Accuracy: 0.505

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.34526538848877
Linear Weight Rank: 179
Intra Cos: 0.03885072469711304
Inter Cos: 0.025923430919647217
Norm Quadratic Average: 11.678611755371094
Nearest Class Center Accuracy: 0.5

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.246689796447754
Linear Weight Rank: 178
Intra Cos: 0.0524677149951458
Inter Cos: 0.01675952970981598
Norm Quadratic Average: 11.960159301757812
Nearest Class Center Accuracy: 0.5

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.509649276733398
Linear Weight Rank: 178
Intra Cos: 0.05990539863705635
Inter Cos: 0.019778426736593246
Norm Quadratic Average: 12.283523559570312
Nearest Class Center Accuracy: 0.504

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.897202491760254
Linear Weight Rank: 4
Intra Cos: 0.08144841343164444
Inter Cos: 0.048981405794620514
Norm Quadratic Average: 8.724187850952148
Nearest Class Center Accuracy: 0.515

Output Layer:
Intra Cos: 0.0867401510477066
Inter Cos: 0.005214288365095854
Norm Quadratic Average: 9.172760009765625
Nearest Class Center Accuracy: 0.503

