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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.954926013946533
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: 7.913395404815674
Linear Weight Rank: 179
Intra Cos: 0.053715236485004425
Inter Cos: 0.005676244385540485
Norm Quadratic Average: 4.712450981140137
Nearest Class Center Accuracy: 0.806625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896165370941162
Linear Weight Rank: 179
Intra Cos: 0.05293305963277817
Inter Cos: 0.011106707155704498
Norm Quadratic Average: 1.6430883407592773
Nearest Class Center Accuracy: 0.710125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.869619846343994
Linear Weight Rank: 179
Intra Cos: 0.049613483250141144
Inter Cos: 0.01132205780595541
Norm Quadratic Average: 0.6060605645179749
Nearest Class Center Accuracy: 0.68625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88571310043335
Linear Weight Rank: 180
Intra Cos: 0.04800919070839882
Inter Cos: 0.006518425885587931
Norm Quadratic Average: 0.23284438252449036
Nearest Class Center Accuracy: 0.625375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.877834796905518
Linear Weight Rank: 179
Intra Cos: 0.04957403242588043
Inter Cos: 0.01688464917242527
Norm Quadratic Average: 0.09004195034503937
Nearest Class Center Accuracy: 0.591625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884444236755371
Linear Weight Rank: 180
Intra Cos: 0.048523981124162674
Inter Cos: 0.012523164041340351
Norm Quadratic Average: 0.03318482264876366
Nearest Class Center Accuracy: 0.596375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874078273773193
Linear Weight Rank: 179
Intra Cos: 0.04437847435474396
Inter Cos: 0.006830533500760794
Norm Quadratic Average: 0.013460870832204819
Nearest Class Center Accuracy: 0.557375

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891862869262695
Linear Weight Rank: 179
Intra Cos: 0.042475730180740356
Inter Cos: 0.005036707501858473
Norm Quadratic Average: 0.0054470025934278965
Nearest Class Center Accuracy: 0.5375

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882089614868164
Linear Weight Rank: 180
Intra Cos: 0.03572177141904831
Inter Cos: 0.007953733205795288
Norm Quadratic Average: 0.0021787157747894526
Nearest Class Center Accuracy: 0.513

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.880166530609131
Linear Weight Rank: 180
Intra Cos: 0.035671789199113846
Inter Cos: 0.005770281422883272
Norm Quadratic Average: 0.000934850366320461
Nearest Class Center Accuracy: 0.47375

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1236183643341064
Linear Weight Rank: 4
Intra Cos: 0.030634630471467972
Inter Cos: 0.006219101138412952
Norm Quadratic Average: 0.0003647996636573225
Nearest Class Center Accuracy: 0.47275

Output Layer:
Intra Cos: 0.05204503983259201
Inter Cos: 0.023884210735559464
Norm Quadratic Average: 2.9450078727677464e-05
Nearest Class Center Accuracy: 0.423625

Test Set:
Average Loss: 1.3874968299865722
Accuracy: 0.257
NC1 Within Class Collapse: 96.5661849975586
NC2 Equinorm: Features: 0.12644432485103607, Weights: 0.03879572078585625
NC2 Equiangle: Features: 0.4223974943161011, Weights: 0.31668760379155475
NC3 Self-Duality: 1.8099333047866821
NC4 NCC Mismatch: 0.737

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.954926013946533
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: 7.913395404815674
Linear Weight Rank: 179
Intra Cos: 0.0518781803548336
Inter Cos: 0.0028686844743788242
Norm Quadratic Average: 4.705427169799805
Nearest Class Center Accuracy: 0.82

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896165370941162
Linear Weight Rank: 179
Intra Cos: 0.04974444955587387
Inter Cos: 0.006056133657693863
Norm Quadratic Average: 1.6371756792068481
Nearest Class Center Accuracy: 0.719

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.869619846343994
Linear Weight Rank: 179
Intra Cos: 0.04478852450847626
Inter Cos: 0.005913434084504843
Norm Quadratic Average: 0.604861319065094
Nearest Class Center Accuracy: 0.683

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88571310043335
Linear Weight Rank: 180
Intra Cos: 0.045289769768714905
Inter Cos: 0.008599285036325455
Norm Quadratic Average: 0.23218412697315216
Nearest Class Center Accuracy: 0.6405

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.877834796905518
Linear Weight Rank: 179
Intra Cos: 0.05010581761598587
Inter Cos: 0.018493250012397766
Norm Quadratic Average: 0.09004595130681992
Nearest Class Center Accuracy: 0.597

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884444236755371
Linear Weight Rank: 180
Intra Cos: 0.05061335489153862
Inter Cos: 0.012930957600474358
Norm Quadratic Average: 0.033091574907302856
Nearest Class Center Accuracy: 0.6075

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874078273773193
Linear Weight Rank: 179
Intra Cos: 0.0463176965713501
Inter Cos: 0.007971396669745445
Norm Quadratic Average: 0.013411724008619785
Nearest Class Center Accuracy: 0.5715

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.891862869262695
Linear Weight Rank: 179
Intra Cos: 0.045868296176195145
Inter Cos: 0.0066338106989860535
Norm Quadratic Average: 0.005428078584372997
Nearest Class Center Accuracy: 0.5345

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882089614868164
Linear Weight Rank: 180
Intra Cos: 0.03989027813076973
Inter Cos: 0.01024897862225771
Norm Quadratic Average: 0.0021809746976941824
Nearest Class Center Accuracy: 0.5065

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.880166530609131
Linear Weight Rank: 180
Intra Cos: 0.041417445987463
Inter Cos: 0.007788779214024544
Norm Quadratic Average: 0.0009368589380756021
Nearest Class Center Accuracy: 0.484

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1236183643341064
Linear Weight Rank: 4
Intra Cos: 0.034435272216796875
Inter Cos: 0.009118866175413132
Norm Quadratic Average: 0.0003653628518804908
Nearest Class Center Accuracy: 0.4815

Output Layer:
Intra Cos: 0.04384773597121239
Inter Cos: 0.008773397654294968
Norm Quadratic Average: 2.9732838811469264e-05
Nearest Class Center Accuracy: 0.4305

