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_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.156756401062012
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 7.249548435211182
Linear Weight Rank: 179
Intra Cos: 0.02544722519814968
Inter Cos: -0.0043723201379179955
Norm Quadratic Average: 12.284141540527344
Nearest Class Center Accuracy: 0.576375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.183053493499756
Linear Weight Rank: 179
Intra Cos: 0.029529893770813942
Inter Cos: -0.005105583928525448
Norm Quadratic Average: 12.256640434265137
Nearest Class Center Accuracy: 0.6285

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.184751510620117
Linear Weight Rank: 179
Intra Cos: 0.03557669371366501
Inter Cos: -0.005188170820474625
Norm Quadratic Average: 12.222481727600098
Nearest Class Center Accuracy: 0.69725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.119296073913574
Linear Weight Rank: 180
Intra Cos: 0.04933971166610718
Inter Cos: -0.010349526070058346
Norm Quadratic Average: 12.213550567626953
Nearest Class Center Accuracy: 0.78225

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.096953868865967
Linear Weight Rank: 180
Intra Cos: 0.05596030503511429
Inter Cos: -0.012586919590830803
Norm Quadratic Average: 12.187134742736816
Nearest Class Center Accuracy: 0.886625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.107253551483154
Linear Weight Rank: 179
Intra Cos: 0.09122569859027863
Inter Cos: -0.01972186379134655
Norm Quadratic Average: 12.1754732131958
Nearest Class Center Accuracy: 0.982375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.080975532531738
Linear Weight Rank: 179
Intra Cos: 0.1696218103170395
Inter Cos: -0.03413131833076477
Norm Quadratic Average: 12.183877944946289
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.20569109916687
Linear Weight Rank: 4
Intra Cos: 0.401064395904541
Inter Cos: -0.10026250034570694
Norm Quadratic Average: 12.400012969970703
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9289187788963318
Inter Cos: -0.17598532140254974
Norm Quadratic Average: 9.910187721252441
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1874067077636719
Accuracy: 0.709
NC1 Within Class Collapse: 3.77398681640625
NC2 Equinorm: Features: 0.06302820891141891, Weights: 0.0263673048466444
NC2 Equiangle: Features: 0.0917638639609019, Weights: 0.06530759235223134
NC3 Self-Duality: 0.1777895987033844
NC4 NCC Mismatch: 0.030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.156756401062012
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.249548435211182
Linear Weight Rank: 179
Intra Cos: 0.023833826184272766
Inter Cos: -0.0031122497748583555
Norm Quadratic Average: 12.280784606933594
Nearest Class Center Accuracy: 0.5935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.183053493499756
Linear Weight Rank: 179
Intra Cos: 0.025989128276705742
Inter Cos: -0.0029872728046029806
Norm Quadratic Average: 12.21731948852539
Nearest Class Center Accuracy: 0.6115

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.184751510620117
Linear Weight Rank: 179
Intra Cos: 0.028351442888379097
Inter Cos: -0.005099186208099127
Norm Quadratic Average: 12.198330879211426
Nearest Class Center Accuracy: 0.636

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.119296073913574
Linear Weight Rank: 180
Intra Cos: 0.03581853583455086
Inter Cos: -0.008237618952989578
Norm Quadratic Average: 12.11056900024414
Nearest Class Center Accuracy: 0.6625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.096953868865967
Linear Weight Rank: 180
Intra Cos: 0.037907958030700684
Inter Cos: -0.007369252387434244
Norm Quadratic Average: 12.02244758605957
Nearest Class Center Accuracy: 0.6945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.107253551483154
Linear Weight Rank: 179
Intra Cos: 0.04778911545872688
Inter Cos: -0.008991941809654236
Norm Quadratic Average: 11.866482734680176
Nearest Class Center Accuracy: 0.696

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.080975532531738
Linear Weight Rank: 179
Intra Cos: 0.06981448829174042
Inter Cos: -0.014162608422338963
Norm Quadratic Average: 11.598857879638672
Nearest Class Center Accuracy: 0.7115

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.20569109916687
Linear Weight Rank: 4
Intra Cos: 0.14483463764190674
Inter Cos: -0.026815997436642647
Norm Quadratic Average: 11.243770599365234
Nearest Class Center Accuracy: 0.7145

Output Layer:
Intra Cos: 0.38865649700164795
Inter Cos: -0.0696803480386734
Norm Quadratic Average: 8.191656112670898
Nearest Class Center Accuracy: 0.7055

