Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2024312019348145
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.548191785812378
Linear Weight Rank: 180
Intra Cos: 0.02761203609406948
Inter Cos: -0.002983812475576997
Norm Quadratic Average: 5.426003456115723
Nearest Class Center Accuracy: 0.594125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.44973087310791
Linear Weight Rank: 179
Intra Cos: 0.03186778724193573
Inter Cos: -0.0025294290389865637
Norm Quadratic Average: 5.408483505249023
Nearest Class Center Accuracy: 0.657875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.344085454940796
Linear Weight Rank: 179
Intra Cos: 0.03979594632983208
Inter Cos: -0.006238172296434641
Norm Quadratic Average: 5.387094497680664
Nearest Class Center Accuracy: 0.749625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2626664638519287
Linear Weight Rank: 180
Intra Cos: 0.058017488569021225
Inter Cos: -0.015067610889673233
Norm Quadratic Average: 5.37196159362793
Nearest Class Center Accuracy: 0.85275

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.193636894226074
Linear Weight Rank: 179
Intra Cos: 0.09313592314720154
Inter Cos: -0.021553361788392067
Norm Quadratic Average: 5.358783721923828
Nearest Class Center Accuracy: 0.96025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1382179260253906
Linear Weight Rank: 179
Intra Cos: 0.18449635803699493
Inter Cos: -0.03470734506845474
Norm Quadratic Average: 5.350748538970947
Nearest Class Center Accuracy: 0.9975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.119349718093872
Linear Weight Rank: 179
Intra Cos: 0.4491824805736542
Inter Cos: -0.11109895259141922
Norm Quadratic Average: 5.366670608520508
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.810787320137024
Linear Weight Rank: 4
Intra Cos: 0.8416857123374939
Inter Cos: -0.22967688739299774
Norm Quadratic Average: 5.708191394805908
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9831034541130066
Inter Cos: -0.23134176433086395
Norm Quadratic Average: 5.331557273864746
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.8296898651123047
Accuracy: 0.723
NC1 Within Class Collapse: 3.116713523864746
NC2 Equinorm: Features: 0.043841827660799026, Weights: 0.03408965840935707
NC2 Equiangle: Features: 0.05281647046407064, Weights: 0.026646246512730915
NC3 Self-Duality: 0.08691029995679855
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2024312019348145
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.548191785812378
Linear Weight Rank: 180
Intra Cos: 0.024898499250411987
Inter Cos: -0.0022741248831152916
Norm Quadratic Average: 5.450175762176514
Nearest Class Center Accuracy: 0.5855

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.44973087310791
Linear Weight Rank: 179
Intra Cos: 0.027547653764486313
Inter Cos: -0.00163999292999506
Norm Quadratic Average: 5.420596599578857
Nearest Class Center Accuracy: 0.636

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.344085454940796
Linear Weight Rank: 179
Intra Cos: 0.031393565237522125
Inter Cos: -0.003810192458331585
Norm Quadratic Average: 5.3743181228637695
Nearest Class Center Accuracy: 0.685

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2626664638519287
Linear Weight Rank: 180
Intra Cos: 0.03895736113190651
Inter Cos: -0.00766749307513237
Norm Quadratic Average: 5.311086654663086
Nearest Class Center Accuracy: 0.703

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.193636894226074
Linear Weight Rank: 179
Intra Cos: 0.049047693610191345
Inter Cos: -0.008572000078856945
Norm Quadratic Average: 5.221004009246826
Nearest Class Center Accuracy: 0.7265

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1382179260253906
Linear Weight Rank: 179
Intra Cos: 0.08062320202589035
Inter Cos: -0.01186483632773161
Norm Quadratic Average: 5.097465515136719
Nearest Class Center Accuracy: 0.722

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.119349718093872
Linear Weight Rank: 179
Intra Cos: 0.17315176129341125
Inter Cos: -0.029002385213971138
Norm Quadratic Average: 4.88800573348999
Nearest Class Center Accuracy: 0.725

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.810787320137024
Linear Weight Rank: 4
Intra Cos: 0.31149882078170776
Inter Cos: -0.06820855289697647
Norm Quadratic Average: 4.789835453033447
Nearest Class Center Accuracy: 0.7225

Output Layer:
Intra Cos: 0.4063824415206909
Inter Cos: -0.0970621407032013
Norm Quadratic Average: 4.283355236053467
Nearest Class Center Accuracy: 0.7235

