Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.219186782836914
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222444586455822
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: 8.300517082214355
Linear Weight Rank: 180
Intra Cos: 0.025103431195020676
Inter Cos: -0.004210128448903561
Norm Quadratic Average: 14.112762451171875
Nearest Class Center Accuracy: 0.574375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.231980323791504
Linear Weight Rank: 180
Intra Cos: 0.027974463999271393
Inter Cos: -0.003820075187832117
Norm Quadratic Average: 14.062226295471191
Nearest Class Center Accuracy: 0.626875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.24122142791748
Linear Weight Rank: 179
Intra Cos: 0.0323837511241436
Inter Cos: -0.004276120103895664
Norm Quadratic Average: 14.034345626831055
Nearest Class Center Accuracy: 0.695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170927047729492
Linear Weight Rank: 180
Intra Cos: 0.04681394249200821
Inter Cos: -0.009245475754141808
Norm Quadratic Average: 14.000520706176758
Nearest Class Center Accuracy: 0.780375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150634765625
Linear Weight Rank: 179
Intra Cos: 0.05390361696481705
Inter Cos: -0.013792205601930618
Norm Quadratic Average: 13.979533195495605
Nearest Class Center Accuracy: 0.88575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164728164672852
Linear Weight Rank: 179
Intra Cos: 0.0861663892865181
Inter Cos: -0.019057126715779305
Norm Quadratic Average: 13.945685386657715
Nearest Class Center Accuracy: 0.9765

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134907722473145
Linear Weight Rank: 179
Intra Cos: 0.15027180314064026
Inter Cos: -0.03306184709072113
Norm Quadratic Average: 13.985363960266113
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.391064405441284
Linear Weight Rank: 4
Intra Cos: 0.3472435474395752
Inter Cos: -0.0917506292462349
Norm Quadratic Average: 14.237214088439941
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9194133877754211
Inter Cos: -0.18583844602108002
Norm Quadratic Average: 11.566920280456543
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3927197990417481
Accuracy: 0.691
NC1 Within Class Collapse: 4.07816743850708
NC2 Equinorm: Features: 0.07963293045759201, Weights: 0.02907005324959755
NC2 Equiangle: Features: 0.09650597969690959, Weights: 0.07343417406082153
NC3 Self-Duality: 0.2018287628889084
NC4 NCC Mismatch: 0.04700000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.219186782836914
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: 8.300517082214355
Linear Weight Rank: 180
Intra Cos: 0.023445677012205124
Inter Cos: -0.003051843959838152
Norm Quadratic Average: 14.114641189575195
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.231980323791504
Linear Weight Rank: 180
Intra Cos: 0.02470376342535019
Inter Cos: -0.0020569670014083385
Norm Quadratic Average: 14.022500991821289
Nearest Class Center Accuracy: 0.6095

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.24122142791748
Linear Weight Rank: 179
Intra Cos: 0.025996394455432892
Inter Cos: -0.004393531009554863
Norm Quadratic Average: 13.990069389343262
Nearest Class Center Accuracy: 0.6415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170927047729492
Linear Weight Rank: 180
Intra Cos: 0.03341447561979294
Inter Cos: -0.007737583015114069
Norm Quadratic Average: 13.914848327636719
Nearest Class Center Accuracy: 0.6645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150634765625
Linear Weight Rank: 179
Intra Cos: 0.035421378910541534
Inter Cos: -0.006018062587827444
Norm Quadratic Average: 13.845870971679688
Nearest Class Center Accuracy: 0.686

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164728164672852
Linear Weight Rank: 179
Intra Cos: 0.04246794059872627
Inter Cos: -0.006698874291032553
Norm Quadratic Average: 13.654975891113281
Nearest Class Center Accuracy: 0.702

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134907722473145
Linear Weight Rank: 179
Intra Cos: 0.06012327969074249
Inter Cos: -0.011271811090409756
Norm Quadratic Average: 13.402069091796875
Nearest Class Center Accuracy: 0.7

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.391064405441284
Linear Weight Rank: 4
Intra Cos: 0.12117203325033188
Inter Cos: -0.020851746201515198
Norm Quadratic Average: 13.067427635192871
Nearest Class Center Accuracy: 0.699

Output Layer:
Intra Cos: 0.3763222396373749
Inter Cos: -0.06294679641723633
Norm Quadratic Average: 9.608647346496582
Nearest Class Center Accuracy: 0.701

