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_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0534940958023071
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: 1.0399081707000732
Linear Weight Rank: 179
Intra Cos: 0.0592673160135746
Inter Cos: 0.005218575242906809
Norm Quadratic Average: 0.6179208159446716
Nearest Class Center Accuracy: 0.807625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0375230312347412
Linear Weight Rank: 179
Intra Cos: 0.04883241653442383
Inter Cos: 0.0031641016248613596
Norm Quadratic Average: 0.03288378566503525
Nearest Class Center Accuracy: 0.708875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0407506227493286
Linear Weight Rank: 180
Intra Cos: 0.051271095871925354
Inter Cos: 0.011793281883001328
Norm Quadratic Average: 0.0016846315702423453
Nearest Class Center Accuracy: 0.63125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0371190309524536
Linear Weight Rank: 180
Intra Cos: 0.06963849812746048
Inter Cos: 0.02782576158642769
Norm Quadratic Average: 8.980421262094751e-05
Nearest Class Center Accuracy: 0.62325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1512780487537384
Linear Weight Rank: 4
Intra Cos: 0.08354900777339935
Inter Cos: 0.0165090411901474
Norm Quadratic Average: 4.862778041569982e-06
Nearest Class Center Accuracy: 0.593875

Output Layer:
Intra Cos: 0.39184749126434326
Inter Cos: 0.2762446999549866
Norm Quadratic Average: 1.097106760994393e-07
Nearest Class Center Accuracy: 0.540125

Test Set:
Average Loss: 1.3870617866516113
Accuracy: 0.257
NC1 Within Class Collapse: 24.576068878173828
NC2 Equinorm: Features: 0.1748080551624298, Weights: 0.05735652521252632
NC2 Equiangle: Features: 0.42662771542867023, Weights: 0.28001244862874347
NC3 Self-Duality: 1.4252853393554688
NC4 NCC Mismatch: 0.7835

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0534940958023071
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: 1.0399081707000732
Linear Weight Rank: 179
Intra Cos: 0.06090097874403
Inter Cos: 0.002623189240694046
Norm Quadratic Average: 0.6167348027229309
Nearest Class Center Accuracy: 0.81

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0375230312347412
Linear Weight Rank: 179
Intra Cos: 0.05096634849905968
Inter Cos: 0.005809027235955
Norm Quadratic Average: 0.03282837197184563
Nearest Class Center Accuracy: 0.733

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0407506227493286
Linear Weight Rank: 180
Intra Cos: 0.05396467447280884
Inter Cos: 0.009289693087339401
Norm Quadratic Average: 0.0016816870775073767
Nearest Class Center Accuracy: 0.6585

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0371190309524536
Linear Weight Rank: 180
Intra Cos: 0.0719810351729393
Inter Cos: 0.024813145399093628
Norm Quadratic Average: 8.932119817472994e-05
Nearest Class Center Accuracy: 0.645

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1512780487537384
Linear Weight Rank: 4
Intra Cos: 0.0873035192489624
Inter Cos: 0.014662792906165123
Norm Quadratic Average: 4.831952082895441e-06
Nearest Class Center Accuracy: 0.607

Output Layer:
Intra Cos: 0.18362334370613098
Inter Cos: 0.1109820008277893
Norm Quadratic Average: 1.0091033431081087e-07
Nearest Class Center Accuracy: 0.5595

