Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04746150970459
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: 8.045543670654297
Linear Weight Rank: 179
Intra Cos: 0.06619557738304138
Inter Cos: 0.005490904673933983
Norm Quadratic Average: 13.80595874786377
Nearest Class Center Accuracy: 0.867

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005291938781738
Linear Weight Rank: 179
Intra Cos: 0.10404349118471146
Inter Cos: 0.0026240642182528973
Norm Quadratic Average: 13.809017181396484
Nearest Class Center Accuracy: 0.920875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964558124542236
Linear Weight Rank: 179
Intra Cos: 0.1320113092660904
Inter Cos: -0.003929045982658863
Norm Quadratic Average: 13.768815040588379
Nearest Class Center Accuracy: 0.962

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973999500274658
Linear Weight Rank: 179
Intra Cos: 0.1912728101015091
Inter Cos: -0.012025360018014908
Norm Quadratic Average: 13.713157653808594
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4416563510894775
Linear Weight Rank: 4
Intra Cos: 0.37697646021842957
Inter Cos: -0.04665173217654228
Norm Quadratic Average: 13.81539249420166
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9207853674888611
Inter Cos: -0.084018774330616
Norm Quadratic Average: 12.235611915588379
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2758247003555298
Accuracy: 0.8995
NC1 Within Class Collapse: 1.3638334274291992
NC2 Equinorm: Features: 0.02180132083594799, Weights: 0.019539643079042435
NC2 Equiangle: Features: 0.2935447692871094, Weights: 0.12469688057899475
NC3 Self-Duality: 0.2055383026599884
NC4 NCC Mismatch: 0.03049999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04746150970459
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: 8.045543670654297
Linear Weight Rank: 179
Intra Cos: 0.06453024595975876
Inter Cos: 0.0017370334826409817
Norm Quadratic Average: 13.788043022155762
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005291938781738
Linear Weight Rank: 179
Intra Cos: 0.09898430854082108
Inter Cos: 0.0034355088137090206
Norm Quadratic Average: 13.789393424987793
Nearest Class Center Accuracy: 0.9015

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964558124542236
Linear Weight Rank: 179
Intra Cos: 0.11739377677440643
Inter Cos: 0.0036752040032297373
Norm Quadratic Average: 13.795114517211914
Nearest Class Center Accuracy: 0.889

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973999500274658
Linear Weight Rank: 179
Intra Cos: 0.15783338248729706
Inter Cos: -0.006904393434524536
Norm Quadratic Average: 13.731752395629883
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4416563510894775
Linear Weight Rank: 4
Intra Cos: 0.28981447219848633
Inter Cos: -0.02149650827050209
Norm Quadratic Average: 13.647658348083496
Nearest Class Center Accuracy: 0.911

Output Layer:
Intra Cos: 0.7429035305976868
Inter Cos: -0.033538300544023514
Norm Quadratic Average: 11.816431045532227
Nearest Class Center Accuracy: 0.911

