Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.985218048095703
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890318393707275
Linear Weight Rank: 180
Intra Cos: 0.01362757571041584
Inter Cos: 0.0037819165736436844
Norm Quadratic Average: 4.697935581207275
Nearest Class Center Accuracy: 0.45825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87443208694458
Linear Weight Rank: 179
Intra Cos: 0.03391023725271225
Inter Cos: 0.013100747019052505
Norm Quadratic Average: 2.1242356300354004
Nearest Class Center Accuracy: 0.471875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9021806716918945
Linear Weight Rank: 180
Intra Cos: 0.07547617703676224
Inter Cos: 0.035798970609903336
Norm Quadratic Average: 1.3398911952972412
Nearest Class Center Accuracy: 0.4785

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882984638214111
Linear Weight Rank: 179
Intra Cos: 0.11358838528394699
Inter Cos: 0.0582149364054203
Norm Quadratic Average: 1.127790093421936
Nearest Class Center Accuracy: 0.47875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7987768650054932
Linear Weight Rank: 4
Intra Cos: 0.13749001920223236
Inter Cos: 0.09706243872642517
Norm Quadratic Average: 1.0998318195343018
Nearest Class Center Accuracy: 0.46925

Output Layer:
Intra Cos: 0.14660874009132385
Inter Cos: 0.14052197337150574
Norm Quadratic Average: 1.1610801219940186
Nearest Class Center Accuracy: 0.457375

Test Set:
Average Loss: 1.2144511070251465
Accuracy: 0.465
NC1 Within Class Collapse: 28.326738357543945
NC2 Equinorm: Features: 0.15515829622745514, Weights: 0.03114810213446617
NC2 Equiangle: Features: 0.6782658100128174, Weights: 0.24317578474680582
NC3 Self-Duality: 0.41970983147621155
NC4 NCC Mismatch: 0.15900000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.985218048095703
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890318393707275
Linear Weight Rank: 180
Intra Cos: 0.014845279976725578
Inter Cos: 0.0043884566985070705
Norm Quadratic Average: 4.69155740737915
Nearest Class Center Accuracy: 0.4715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87443208694458
Linear Weight Rank: 179
Intra Cos: 0.03544744849205017
Inter Cos: 0.014586187899112701
Norm Quadratic Average: 2.1147994995117188
Nearest Class Center Accuracy: 0.4765

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9021806716918945
Linear Weight Rank: 180
Intra Cos: 0.07835445553064346
Inter Cos: 0.04009367153048515
Norm Quadratic Average: 1.3285082578659058
Nearest Class Center Accuracy: 0.48

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.882984638214111
Linear Weight Rank: 179
Intra Cos: 0.10619192570447922
Inter Cos: 0.062188420444726944
Norm Quadratic Average: 1.1169328689575195
Nearest Class Center Accuracy: 0.4735

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7987768650054932
Linear Weight Rank: 4
Intra Cos: 0.11674290150403976
Inter Cos: 0.08818848431110382
Norm Quadratic Average: 1.0913586616516113
Nearest Class Center Accuracy: 0.457

Output Layer:
Intra Cos: 0.11746891587972641
Inter Cos: 0.1265326589345932
Norm Quadratic Average: 1.1564230918884277
Nearest Class Center Accuracy: 0.4465

