Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1597251892089844
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2139134407043457
Linear Weight Rank: 180
Intra Cos: 0.08563867956399918
Inter Cos: 0.0040603503584861755
Norm Quadratic Average: 5.454511642456055
Nearest Class Center Accuracy: 0.889125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.160588502883911
Linear Weight Rank: 179
Intra Cos: 0.14632508158683777
Inter Cos: 0.002188576851040125
Norm Quadratic Average: 5.428424835205078
Nearest Class Center Accuracy: 0.955375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.128126382827759
Linear Weight Rank: 179
Intra Cos: 0.23939457535743713
Inter Cos: 0.010307648219168186
Norm Quadratic Average: 5.389122486114502
Nearest Class Center Accuracy: 0.98975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.127617359161377
Linear Weight Rank: 179
Intra Cos: 0.42639681696891785
Inter Cos: -0.004829337354749441
Norm Quadratic Average: 5.362557888031006
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.83637273311615
Linear Weight Rank: 4
Intra Cos: 0.8077783584594727
Inter Cos: -0.15836204588413239
Norm Quadratic Average: 5.6445817947387695
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9846795797348022
Inter Cos: -0.17519859969615936
Norm Quadratic Average: 5.25529146194458
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.20490646457672118
Accuracy: 0.917
NC1 Within Class Collapse: 0.7396695613861084
NC2 Equinorm: Features: 0.017970964312553406, Weights: 0.017851220443844795
NC2 Equiangle: Features: 0.20268487930297852, Weights: 0.04545831183592478
NC3 Self-Duality: 0.11127413809299469
NC4 NCC Mismatch: 0.008000000000000007

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1597251892089844
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 3.2139134407043457
Linear Weight Rank: 180
Intra Cos: 0.08783209323883057
Inter Cos: 0.00412607379257679
Norm Quadratic Average: 5.452793121337891
Nearest Class Center Accuracy: 0.894

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.160588502883911
Linear Weight Rank: 179
Intra Cos: 0.14025254547595978
Inter Cos: 0.003448658622801304
Norm Quadratic Average: 5.438197135925293
Nearest Class Center Accuracy: 0.9315

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.128126382827759
Linear Weight Rank: 179
Intra Cos: 0.22308441996574402
Inter Cos: 0.016636334359645844
Norm Quadratic Average: 5.397027492523193
Nearest Class Center Accuracy: 0.9395

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.127617359161377
Linear Weight Rank: 179
Intra Cos: 0.35191434621810913
Inter Cos: 0.008843086659908295
Norm Quadratic Average: 5.319640636444092
Nearest Class Center Accuracy: 0.931

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.83637273311615
Linear Weight Rank: 4
Intra Cos: 0.6221784353256226
Inter Cos: -0.07567644864320755
Norm Quadratic Average: 5.324319362640381
Nearest Class Center Accuracy: 0.9155

Output Layer:
Intra Cos: 0.8008813858032227
Inter Cos: -0.061909399926662445
Norm Quadratic Average: 4.848917484283447
Nearest Class Center Accuracy: 0.917

