Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.989438533782959
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07262134552002
Linear Weight Rank: 179
Intra Cos: 0.07599329948425293
Inter Cos: 0.005594316404312849
Norm Quadratic Average: 13.878674507141113
Nearest Class Center Accuracy: 0.866625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.059730529785156
Linear Weight Rank: 179
Intra Cos: 0.10202289372682571
Inter Cos: 0.009617060422897339
Norm Quadratic Average: 13.817728042602539
Nearest Class Center Accuracy: 0.916

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9841108322143555
Linear Weight Rank: 179
Intra Cos: 0.1266225427389145
Inter Cos: 0.005018484778702259
Norm Quadratic Average: 13.774513244628906
Nearest Class Center Accuracy: 0.9455

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97920560836792
Linear Weight Rank: 179
Intra Cos: 0.1452837586402893
Inter Cos: 0.0023650554940104485
Norm Quadratic Average: 13.685371398925781
Nearest Class Center Accuracy: 0.971875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9913458824157715
Linear Weight Rank: 180
Intra Cos: 0.18327569961547852
Inter Cos: 0.0015040021389722824
Norm Quadratic Average: 13.681962966918945
Nearest Class Center Accuracy: 0.990625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966123580932617
Linear Weight Rank: 180
Intra Cos: 0.24208323657512665
Inter Cos: -0.00579571770504117
Norm Quadratic Average: 13.64948558807373
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957588195800781
Linear Weight Rank: 179
Intra Cos: 0.3311746418476105
Inter Cos: -0.04327554255723953
Norm Quadratic Average: 13.67509937286377
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.05912446975708
Linear Weight Rank: 4
Intra Cos: 0.49996834993362427
Inter Cos: -0.09320341050624847
Norm Quadratic Average: 13.817432403564453
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9551987648010254
Inter Cos: -0.14464248716831207
Norm Quadratic Average: 10.897856712341309
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3774961748123169
Accuracy: 0.8875
NC1 Within Class Collapse: 1.1965316534042358
NC2 Equinorm: Features: 0.018798990175127983, Weights: 0.04019806906580925
NC2 Equiangle: Features: 0.22391720612843832, Weights: 0.13819283246994019
NC3 Self-Duality: 0.23650826513767242
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.989438533782959
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07262134552002
Linear Weight Rank: 179
Intra Cos: 0.07601945102214813
Inter Cos: 0.006747283972799778
Norm Quadratic Average: 13.858844757080078
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.059730529785156
Linear Weight Rank: 179
Intra Cos: 0.09749370813369751
Inter Cos: 0.0033845817670226097
Norm Quadratic Average: 13.841325759887695
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9841108322143555
Linear Weight Rank: 179
Intra Cos: 0.11833865940570831
Inter Cos: 0.004084191285073757
Norm Quadratic Average: 13.785665512084961
Nearest Class Center Accuracy: 0.903

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97920560836792
Linear Weight Rank: 179
Intra Cos: 0.13644516468048096
Inter Cos: -0.0016724972520023584
Norm Quadratic Average: 13.708935737609863
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9913458824157715
Linear Weight Rank: 180
Intra Cos: 0.1549890637397766
Inter Cos: -0.0002450491301715374
Norm Quadratic Average: 13.66409683227539
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966123580932617
Linear Weight Rank: 180
Intra Cos: 0.19306577742099762
Inter Cos: -0.004277498461306095
Norm Quadratic Average: 13.531523704528809
Nearest Class Center Accuracy: 0.896

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.957588195800781
Linear Weight Rank: 179
Intra Cos: 0.23826287686824799
Inter Cos: -0.012842063792049885
Norm Quadratic Average: 13.412551879882812
Nearest Class Center Accuracy: 0.896

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.05912446975708
Linear Weight Rank: 4
Intra Cos: 0.3382895886898041
Inter Cos: -0.04970107227563858
Norm Quadratic Average: 13.276427268981934
Nearest Class Center Accuracy: 0.884

Output Layer:
Intra Cos: 0.7051207423210144
Inter Cos: -0.038022205233573914
Norm Quadratic Average: 10.085613250732422
Nearest Class Center Accuracy: 0.886

