Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22220952808856964
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 0.21933609247207642
Linear Weight Rank: 179
Intra Cos: 0.059020496904850006
Inter Cos: 0.005209262017160654
Norm Quadratic Average: 0.13031259179115295
Nearest Class Center Accuracy: 0.807125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21883165836334229
Linear Weight Rank: 179
Intra Cos: 0.046984486281871796
Inter Cos: 0.004447929561138153
Norm Quadratic Average: 0.0015119420131668448
Nearest Class Center Accuracy: 0.7095

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21951034665107727
Linear Weight Rank: 180
Intra Cos: 0.0409543402493
Inter Cos: 0.010021951980888844
Norm Quadratic Average: 1.5930201698211022e-05
Nearest Class Center Accuracy: 0.625875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21875162422657013
Linear Weight Rank: 180
Intra Cos: 0.04741305857896805
Inter Cos: 0.020710783079266548
Norm Quadratic Average: 1.7215656100688648e-07
Nearest Class Center Accuracy: 0.615125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03186815232038498
Linear Weight Rank: 4
Intra Cos: 0.9062868356704712
Inter Cos: 0.9054310321807861
Norm Quadratic Average: 5.892899945791896e-09
Nearest Class Center Accuracy: 0.363375

Output Layer:
Intra Cos: 0.9999997019767761
Inter Cos: 1.0
Norm Quadratic Average: 4.799700903390658e-08
Nearest Class Center Accuracy: 0.269375

Test Set:
Average Loss: 1.3868453674316406
Accuracy: 0.257
NC1 Within Class Collapse: 2.3136916160583496
NC2 Equinorm: Features: 0.17598797380924225, Weights: 0.06254648417234421
NC2 Equiangle: Features: 0.23356672128041586, Weights: 0.2811884085337321
NC3 Self-Duality: 2.152423143386841
NC4 NCC Mismatch: 0.5705

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22220952808856964
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 0.21933609247207642
Linear Weight Rank: 179
Intra Cos: 0.06064841151237488
Inter Cos: 0.002624679822474718
Norm Quadratic Average: 0.1300620287656784
Nearest Class Center Accuracy: 0.81

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21883165836334229
Linear Weight Rank: 179
Intra Cos: 0.04867919534444809
Inter Cos: 0.0037204783875495195
Norm Quadratic Average: 0.0015091040404513478
Nearest Class Center Accuracy: 0.7225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21951034665107727
Linear Weight Rank: 180
Intra Cos: 0.04190234839916229
Inter Cos: 0.00768932094797492
Norm Quadratic Average: 1.5899602658464573e-05
Nearest Class Center Accuracy: 0.6465

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21875162422657013
Linear Weight Rank: 180
Intra Cos: 0.04770077019929886
Inter Cos: 0.01679757982492447
Norm Quadratic Average: 1.7133466201357805e-07
Nearest Class Center Accuracy: 0.6435

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.03186815232038498
Linear Weight Rank: 4
Intra Cos: 0.46931424736976624
Inter Cos: 0.47390878200531006
Norm Quadratic Average: 2.4684747579328814e-09
Nearest Class Center Accuracy: 0.4745

Output Layer:
Intra Cos: 1.0
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 2.296423318171037e-08
Nearest Class Center Accuracy: 0.257

