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_846264_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.204524993896484
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 8.161543846130371
Linear Weight Rank: 179
Intra Cos: 0.05371629446744919
Inter Cos: 0.005676481407135725
Norm Quadratic Average: 4.860321998596191
Nearest Class Center Accuracy: 0.806375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14378833770752
Linear Weight Rank: 179
Intra Cos: 0.05297029763460159
Inter Cos: 0.01114390604197979
Norm Quadratic Average: 1.7473936080932617
Nearest Class Center Accuracy: 0.710375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11639404296875
Linear Weight Rank: 179
Intra Cos: 0.049724020063877106
Inter Cos: 0.011273153126239777
Norm Quadratic Average: 0.6636073589324951
Nearest Class Center Accuracy: 0.687

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13300609588623
Linear Weight Rank: 180
Intra Cos: 0.04818689823150635
Inter Cos: 0.006713160779327154
Norm Quadratic Average: 0.26230043172836304
Nearest Class Center Accuracy: 0.62675

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.124871253967285
Linear Weight Rank: 179
Intra Cos: 0.049550916999578476
Inter Cos: 0.01598479226231575
Norm Quadratic Average: 0.10430587828159332
Nearest Class Center Accuracy: 0.592625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131697654724121
Linear Weight Rank: 180
Intra Cos: 0.04938725382089615
Inter Cos: 0.011933322064578533
Norm Quadratic Average: 0.0394592210650444
Nearest Class Center Accuracy: 0.595875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121025085449219
Linear Weight Rank: 179
Intra Cos: 0.04487384483218193
Inter Cos: 0.005953814368695021
Norm Quadratic Average: 0.016457945108413696
Nearest Class Center Accuracy: 0.56

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139361381530762
Linear Weight Rank: 179
Intra Cos: 0.043772514909505844
Inter Cos: 0.006066782865673304
Norm Quadratic Average: 0.0068963682278990746
Nearest Class Center Accuracy: 0.539375

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129262924194336
Linear Weight Rank: 180
Intra Cos: 0.03634168952703476
Inter Cos: 0.004997983109205961
Norm Quadratic Average: 0.002838243031874299
Nearest Class Center Accuracy: 0.514625

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127227783203125
Linear Weight Rank: 180
Intra Cos: 0.03556425869464874
Inter Cos: 0.005514099728316069
Norm Quadratic Average: 0.0012564421631395817
Nearest Class Center Accuracy: 0.477875

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1586849689483643
Linear Weight Rank: 4
Intra Cos: 0.030976619571447372
Inter Cos: 0.003739976091310382
Norm Quadratic Average: 0.0004975163610652089
Nearest Class Center Accuracy: 0.47675

Output Layer:
Intra Cos: 0.044400136917829514
Inter Cos: 0.026712261140346527
Norm Quadratic Average: 4.0503513446310535e-05
Nearest Class Center Accuracy: 0.403

Test Set:
Average Loss: 1.3875041389465332
Accuracy: 0.257
NC1 Within Class Collapse: 84.4336166381836
NC2 Equinorm: Features: 0.11573135107755661, Weights: 0.03881926089525223
NC2 Equiangle: Features: 0.41814597447713214, Weights: 0.3167768319447835
NC3 Self-Duality: 1.8177369832992554
NC4 NCC Mismatch: 0.7424999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.204524993896484
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.00331290066242218
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: 8.161543846130371
Linear Weight Rank: 179
Intra Cos: 0.05187886953353882
Inter Cos: 0.0028684157878160477
Norm Quadratic Average: 4.853078365325928
Nearest Class Center Accuracy: 0.82

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14378833770752
Linear Weight Rank: 179
Intra Cos: 0.04977216571569443
Inter Cos: 0.00609356164932251
Norm Quadratic Average: 1.7411168813705444
Nearest Class Center Accuracy: 0.718

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11639404296875
Linear Weight Rank: 179
Intra Cos: 0.04491991177201271
Inter Cos: 0.00587111571803689
Norm Quadratic Average: 0.6623436212539673
Nearest Class Center Accuracy: 0.6835

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13300609588623
Linear Weight Rank: 180
Intra Cos: 0.045447200536727905
Inter Cos: 0.008801954798400402
Norm Quadratic Average: 0.2616136968135834
Nearest Class Center Accuracy: 0.645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.124871253967285
Linear Weight Rank: 179
Intra Cos: 0.049906857311725616
Inter Cos: 0.01770826242864132
Norm Quadratic Average: 0.10432689636945724
Nearest Class Center Accuracy: 0.599

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131697654724121
Linear Weight Rank: 180
Intra Cos: 0.051440611481666565
Inter Cos: 0.012243460863828659
Norm Quadratic Average: 0.039340004324913025
Nearest Class Center Accuracy: 0.6065

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121025085449219
Linear Weight Rank: 179
Intra Cos: 0.04674319177865982
Inter Cos: 0.006875367369502783
Norm Quadratic Average: 0.01639251410961151
Nearest Class Center Accuracy: 0.5745

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.139361381530762
Linear Weight Rank: 179
Intra Cos: 0.0456908717751503
Inter Cos: 0.007742663845419884
Norm Quadratic Average: 0.0068704551085829735
Nearest Class Center Accuracy: 0.5355

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129262924194336
Linear Weight Rank: 180
Intra Cos: 0.03968217596411705
Inter Cos: 0.0069379243068397045
Norm Quadratic Average: 0.0028395887929946184
Nearest Class Center Accuracy: 0.508

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127227783203125
Linear Weight Rank: 180
Intra Cos: 0.04071277379989624
Inter Cos: 0.006307646166533232
Norm Quadratic Average: 0.0012584257638081908
Nearest Class Center Accuracy: 0.4865

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1586849689483643
Linear Weight Rank: 4
Intra Cos: 0.033281341195106506
Inter Cos: 0.005919252522289753
Norm Quadratic Average: 0.0004974509356543422
Nearest Class Center Accuracy: 0.4865

Output Layer:
Intra Cos: 0.037438008934259415
Inter Cos: 0.0141978207975626
Norm Quadratic Average: 4.0823244489729404e-05
Nearest Class Center Accuracy: 0.4175

