Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.8368635177612305
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: 5.846970081329346
Linear Weight Rank: 179
Intra Cos: 0.02362588234245777
Inter Cos: -0.0025774911046028137
Norm Quadratic Average: 3.469985246658325
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.860891819000244
Linear Weight Rank: 179
Intra Cos: 0.017138954252004623
Inter Cos: -0.0007854591240175068
Norm Quadratic Average: 0.875839352607727
Nearest Class Center Accuracy: 0.537125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.81887674331665
Linear Weight Rank: 179
Intra Cos: 0.014435612596571445
Inter Cos: 0.001907308935187757
Norm Quadratic Average: 0.2316473424434662
Nearest Class Center Accuracy: 0.495875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825565814971924
Linear Weight Rank: 180
Intra Cos: 0.017096709460020065
Inter Cos: 0.0041739665903151035
Norm Quadratic Average: 0.06746453791856766
Nearest Class Center Accuracy: 0.48525

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8410797119140625
Linear Weight Rank: 179
Intra Cos: 0.018297435715794563
Inter Cos: 0.005234718322753906
Norm Quadratic Average: 0.019206227734684944
Nearest Class Center Accuracy: 0.4705

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8261308670043945
Linear Weight Rank: 180
Intra Cos: 0.017721833661198616
Inter Cos: 0.0060899462550878525
Norm Quadratic Average: 0.005319636780768633
Nearest Class Center Accuracy: 0.4465

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8221235275268555
Linear Weight Rank: 179
Intra Cos: 0.019788512960076332
Inter Cos: 0.01059758011251688
Norm Quadratic Average: 0.0016461913473904133
Nearest Class Center Accuracy: 0.4335

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.85700523853302
Linear Weight Rank: 4
Intra Cos: 0.02117643877863884
Inter Cos: 0.01360294595360756
Norm Quadratic Average: 0.00048041416448540986
Nearest Class Center Accuracy: 0.42175

Output Layer:
Intra Cos: 0.028169935569167137
Inter Cos: 0.022047845646739006
Norm Quadratic Average: 3.222847226425074e-05
Nearest Class Center Accuracy: 0.355625

Test Set:
Average Loss: 1.3866766891479492
Accuracy: 0.255
NC1 Within Class Collapse: 38.45796203613281
NC2 Equinorm: Features: 0.2581879496574402, Weights: 0.023720983415842056
NC2 Equiangle: Features: 0.23907466729482016, Weights: 0.3449696699778239
NC3 Self-Duality: 1.774899959564209
NC4 NCC Mismatch: 0.6799999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.8368635177612305
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: 5.846970081329346
Linear Weight Rank: 179
Intra Cos: 0.023374855518341064
Inter Cos: -0.0016136625781655312
Norm Quadratic Average: 3.479379177093506
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.860891819000244
Linear Weight Rank: 179
Intra Cos: 0.016422243788838387
Inter Cos: -0.00023705359490122646
Norm Quadratic Average: 0.8762537837028503
Nearest Class Center Accuracy: 0.5475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.81887674331665
Linear Weight Rank: 179
Intra Cos: 0.013202986679971218
Inter Cos: 0.0029140266124159098
Norm Quadratic Average: 0.23153294622898102
Nearest Class Center Accuracy: 0.509

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.825565814971924
Linear Weight Rank: 180
Intra Cos: 0.015309571288526058
Inter Cos: 0.0058076330460608006
Norm Quadratic Average: 0.06739137321710587
Nearest Class Center Accuracy: 0.4945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8410797119140625
Linear Weight Rank: 179
Intra Cos: 0.016514984890818596
Inter Cos: 0.006699391640722752
Norm Quadratic Average: 0.019171729683876038
Nearest Class Center Accuracy: 0.5045

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8261308670043945
Linear Weight Rank: 180
Intra Cos: 0.016084445640444756
Inter Cos: 0.00745797622948885
Norm Quadratic Average: 0.0053024329245090485
Nearest Class Center Accuracy: 0.472

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8221235275268555
Linear Weight Rank: 179
Intra Cos: 0.01601782627403736
Inter Cos: 0.01166453305631876
Norm Quadratic Average: 0.001635373686440289
Nearest Class Center Accuracy: 0.4475

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.85700523853302
Linear Weight Rank: 4
Intra Cos: 0.016833672299981117
Inter Cos: 0.014409230090677738
Norm Quadratic Average: 0.00047756507410667837
Nearest Class Center Accuracy: 0.438

Output Layer:
Intra Cos: 0.021436499431729317
Inter Cos: 0.022781820967793465
Norm Quadratic Average: 3.200569699401967e-05
Nearest Class Center Accuracy: 0.354

