Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1682448387145996
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3583248853683472
Linear Weight Rank: 178
Intra Cos: 0.11469246447086334
Inter Cos: 0.002640485530719161
Norm Quadratic Average: 1.8087559938430786
Nearest Class Center Accuracy: 0.921125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.203850507736206
Linear Weight Rank: 179
Intra Cos: 0.16866503655910492
Inter Cos: 0.0011760013876482844
Norm Quadratic Average: 1.6252515316009521
Nearest Class Center Accuracy: 0.995

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0835977792739868
Linear Weight Rank: 178
Intra Cos: 0.353444904088974
Inter Cos: -0.017578009516000748
Norm Quadratic Average: 1.555856704711914
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.081691861152649
Linear Weight Rank: 178
Intra Cos: 0.7774113416671753
Inter Cos: -0.11023915559053421
Norm Quadratic Average: 1.6927099227905273
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.161219835281372
Linear Weight Rank: 4
Intra Cos: 0.990164577960968
Inter Cos: -0.28216055035591125
Norm Quadratic Average: 2.7590041160583496
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.999373733997345
Inter Cos: -0.26667505502700806
Norm Quadratic Average: 3.4210548400878906
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.17541827774047852
Accuracy: 0.9515
NC1 Within Class Collapse: 0.32742536067962646
NC2 Equinorm: Features: 0.004819657187908888, Weights: 0.020731806755065918
NC2 Equiangle: Features: 0.09595970312754314, Weights: 0.022698283195495605
NC3 Self-Duality: 0.012130643241107464
NC4 NCC Mismatch: 0.0014999999999999458

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1682448387145996
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3583248853683472
Linear Weight Rank: 178
Intra Cos: 0.11349980533123016
Inter Cos: 0.003491620533168316
Norm Quadratic Average: 1.8108843564987183
Nearest Class Center Accuracy: 0.9235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.203850507736206
Linear Weight Rank: 179
Intra Cos: 0.16042792797088623
Inter Cos: 0.008944741450250149
Norm Quadratic Average: 1.6223831176757812
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0835977792739868
Linear Weight Rank: 178
Intra Cos: 0.31583133339881897
Inter Cos: -0.012653050944209099
Norm Quadratic Average: 1.540816307067871
Nearest Class Center Accuracy: 0.96

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.081691861152649
Linear Weight Rank: 178
Intra Cos: 0.6716743111610413
Inter Cos: -0.07235774397850037
Norm Quadratic Average: 1.6373395919799805
Nearest Class Center Accuracy: 0.9565

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.161219835281372
Linear Weight Rank: 4
Intra Cos: 0.8570448756217957
Inter Cos: -0.18871188163757324
Norm Quadratic Average: 2.5848183631896973
Nearest Class Center Accuracy: 0.953

Output Layer:
Intra Cos: 0.8697282671928406
Inter Cos: -0.17740970849990845
Norm Quadratic Average: 3.1983776092529297
Nearest Class Center Accuracy: 0.953

