Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.882909774780273
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
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: 5.820926666259766
Linear Weight Rank: 180
Intra Cos: 0.012238292954862118
Inter Cos: 0.00538830179721117
Norm Quadratic Average: 3.5103225708007812
Nearest Class Center Accuracy: 0.45075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.815312385559082
Linear Weight Rank: 180
Intra Cos: 0.010597866028547287
Inter Cos: 0.006925593595951796
Norm Quadratic Average: 0.9135057330131531
Nearest Class Center Accuracy: 0.4365

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8536152839660645
Linear Weight Rank: 179
Intra Cos: 0.009430103935301304
Inter Cos: 0.006660548038780689
Norm Quadratic Average: 0.24399369955062866
Nearest Class Center Accuracy: 0.413875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826587200164795
Linear Weight Rank: 180
Intra Cos: 0.010035616345703602
Inter Cos: 0.004434253089129925
Norm Quadratic Average: 0.06863664090633392
Nearest Class Center Accuracy: 0.41125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830741882324219
Linear Weight Rank: 180
Intra Cos: 0.008565835654735565
Inter Cos: 0.006313655991107225
Norm Quadratic Average: 0.019936690106987953
Nearest Class Center Accuracy: 0.40325

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.85360860824585
Linear Weight Rank: 180
Intra Cos: 0.009968506172299385
Inter Cos: 0.005454028025269508
Norm Quadratic Average: 0.005842852871865034
Nearest Class Center Accuracy: 0.39975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.83877420425415
Linear Weight Rank: 179
Intra Cos: 0.01077299751341343
Inter Cos: 0.005335267633199692
Norm Quadratic Average: 0.001781707862392068
Nearest Class Center Accuracy: 0.39275

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8546608090400696
Linear Weight Rank: 4
Intra Cos: 0.01109347678720951
Inter Cos: 0.0030853431671857834
Norm Quadratic Average: 0.0005064381984993815
Nearest Class Center Accuracy: 0.387375

Output Layer:
Intra Cos: 0.010834451764822006
Inter Cos: 0.01032835803925991
Norm Quadratic Average: 2.7849338948726654e-05
Nearest Class Center Accuracy: 0.3345

Test Set:
Average Loss: 1.383707103729248
Accuracy: 0.2695
NC1 Within Class Collapse: 50.28178405761719
NC2 Equinorm: Features: 0.09955277293920517, Weights: 0.019136447459459305
NC2 Equiangle: Features: 0.1537634531656901, Weights: 0.29538871844609577
NC3 Self-Duality: 1.8795983791351318
NC4 NCC Mismatch: 0.7565

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.882909774780273
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 5.820926666259766
Linear Weight Rank: 180
Intra Cos: 0.01171098928898573
Inter Cos: 0.004923589527606964
Norm Quadratic Average: 3.494412660598755
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.815312385559082
Linear Weight Rank: 180
Intra Cos: 0.009264766238629818
Inter Cos: 0.006620342377573252
Norm Quadratic Average: 0.9072064757347107
Nearest Class Center Accuracy: 0.4505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8536152839660645
Linear Weight Rank: 179
Intra Cos: 0.007524597458541393
Inter Cos: 0.007286278065294027
Norm Quadratic Average: 0.24343371391296387
Nearest Class Center Accuracy: 0.4285

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826587200164795
Linear Weight Rank: 180
Intra Cos: 0.007732883095741272
Inter Cos: 0.004184284247457981
Norm Quadratic Average: 0.0683903768658638
Nearest Class Center Accuracy: 0.4165

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830741882324219
Linear Weight Rank: 180
Intra Cos: 0.007116462104022503
Inter Cos: 0.006095231976360083
Norm Quadratic Average: 0.019950099289417267
Nearest Class Center Accuracy: 0.411

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.85360860824585
Linear Weight Rank: 180
Intra Cos: 0.010095054283738136
Inter Cos: 0.004495714325457811
Norm Quadratic Average: 0.005858933553099632
Nearest Class Center Accuracy: 0.4105

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.83877420425415
Linear Weight Rank: 179
Intra Cos: 0.012939277105033398
Inter Cos: 0.0038026967085897923
Norm Quadratic Average: 0.0017833469901233912
Nearest Class Center Accuracy: 0.3985

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8546608090400696
Linear Weight Rank: 4
Intra Cos: 0.012369390577077866
Inter Cos: 0.0019458584720268846
Norm Quadratic Average: 0.0005059429677203298
Nearest Class Center Accuracy: 0.3985

Output Layer:
Intra Cos: 0.012069151736795902
Inter Cos: 0.01133442297577858
Norm Quadratic Average: 2.7932394004892558e-05
Nearest Class Center Accuracy: 0.331

