Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.135725021362305
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.370026588439941
Linear Weight Rank: 180
Intra Cos: 0.011955815367400646
Inter Cos: 0.0026067274156957865
Norm Quadratic Average: 13.796121597290039
Nearest Class Center Accuracy: 0.458

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.24533748626709
Linear Weight Rank: 179
Intra Cos: 0.01098499447107315
Inter Cos: 0.002700080629438162
Norm Quadratic Average: 13.747941970825195
Nearest Class Center Accuracy: 0.48675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.191554069519043
Linear Weight Rank: 180
Intra Cos: 0.012160569429397583
Inter Cos: 0.003387913340702653
Norm Quadratic Average: 13.763362884521484
Nearest Class Center Accuracy: 0.521125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103482246398926
Linear Weight Rank: 180
Intra Cos: 0.017161453142762184
Inter Cos: 0.003146270290017128
Norm Quadratic Average: 13.75643253326416
Nearest Class Center Accuracy: 0.56975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069414138793945
Linear Weight Rank: 180
Intra Cos: 0.025699520483613014
Inter Cos: 0.0017709675012156367
Norm Quadratic Average: 13.753898620605469
Nearest Class Center Accuracy: 0.675875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000700950622559
Linear Weight Rank: 179
Intra Cos: 0.042380549013614655
Inter Cos: -0.003643670119345188
Norm Quadratic Average: 13.751961708068848
Nearest Class Center Accuracy: 0.851125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972258567810059
Linear Weight Rank: 179
Intra Cos: 0.09185381978750229
Inter Cos: -0.017090242356061935
Norm Quadratic Average: 13.827069282531738
Nearest Class Center Accuracy: 0.995

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.64829158782959
Linear Weight Rank: 4
Intra Cos: 0.25988394021987915
Inter Cos: -0.06791262328624725
Norm Quadratic Average: 14.215568542480469
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9082065224647522
Inter Cos: -0.1624998301267624
Norm Quadratic Average: 11.214868545532227
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.48484440612793
Accuracy: 0.5165
NC1 Within Class Collapse: 13.96732234954834
NC2 Equinorm: Features: 0.06190038099884987, Weights: 0.02822416089475155
NC2 Equiangle: Features: 0.24623318513234457, Weights: 0.05865670243899027
NC3 Self-Duality: 0.25805917382240295
NC4 NCC Mismatch: 0.0695

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.135725021362305
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
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: 8.370026588439941
Linear Weight Rank: 180
Intra Cos: 0.013037671335041523
Inter Cos: 0.00272294576279819
Norm Quadratic Average: 13.773951530456543
Nearest Class Center Accuracy: 0.4735

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.24533748626709
Linear Weight Rank: 179
Intra Cos: 0.010628577321767807
Inter Cos: 0.002103845588862896
Norm Quadratic Average: 13.712567329406738
Nearest Class Center Accuracy: 0.4965

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.191554069519043
Linear Weight Rank: 180
Intra Cos: 0.009672011248767376
Inter Cos: 0.0028984621167182922
Norm Quadratic Average: 13.6975736618042
Nearest Class Center Accuracy: 0.499

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103482246398926
Linear Weight Rank: 180
Intra Cos: 0.011061759665608406
Inter Cos: 0.004273939877748489
Norm Quadratic Average: 13.617990493774414
Nearest Class Center Accuracy: 0.5085

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069414138793945
Linear Weight Rank: 180
Intra Cos: 0.01150553673505783
Inter Cos: 0.0041852835565805435
Norm Quadratic Average: 13.541672706604004
Nearest Class Center Accuracy: 0.503

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000700950622559
Linear Weight Rank: 179
Intra Cos: 0.011900905519723892
Inter Cos: 0.0026718671433627605
Norm Quadratic Average: 13.365937232971191
Nearest Class Center Accuracy: 0.499

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972258567810059
Linear Weight Rank: 179
Intra Cos: 0.015713177621364594
Inter Cos: 0.003414679318666458
Norm Quadratic Average: 13.157669067382812
Nearest Class Center Accuracy: 0.533

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.64829158782959
Linear Weight Rank: 4
Intra Cos: 0.031049616634845734
Inter Cos: 0.0018061937298625708
Norm Quadratic Average: 12.681560516357422
Nearest Class Center Accuracy: 0.5315

Output Layer:
Intra Cos: 0.1310495138168335
Inter Cos: 0.015037822537124157
Norm Quadratic Average: 8.272668838500977
Nearest Class Center Accuracy: 0.509

