Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.100059509277344
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 8.100351333618164
Linear Weight Rank: 180
Intra Cos: 0.07392708212137222
Inter Cos: 0.002308474387973547
Norm Quadratic Average: 13.79774284362793
Nearest Class Center Accuracy: 0.8625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052407264709473
Linear Weight Rank: 179
Intra Cos: 0.11490995436906815
Inter Cos: 0.0009585644584149122
Norm Quadratic Average: 13.791379928588867
Nearest Class Center Accuracy: 0.92725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02874755859375
Linear Weight Rank: 180
Intra Cos: 0.15383540093898773
Inter Cos: 0.0068876552395522594
Norm Quadratic Average: 13.763469696044922
Nearest Class Center Accuracy: 0.965875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046063423156738
Linear Weight Rank: 180
Intra Cos: 0.2157827913761139
Inter Cos: 0.006929965224117041
Norm Quadratic Average: 13.75886344909668
Nearest Class Center Accuracy: 0.99725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.459315776824951
Linear Weight Rank: 4
Intra Cos: 0.3696817457675934
Inter Cos: -0.03607361018657684
Norm Quadratic Average: 13.938434600830078
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9212895035743713
Inter Cos: -0.06989003717899323
Norm Quadratic Average: 12.287846565246582
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.288080584526062
Accuracy: 0.8995
NC1 Within Class Collapse: 1.3995709419250488
NC2 Equinorm: Features: 0.040248770266771317, Weights: 0.017219912260770798
NC2 Equiangle: Features: 0.31037745873133343, Weights: 0.11689688762029012
NC3 Self-Duality: 0.21866075694561005
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.100059509277344
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.100351333618164
Linear Weight Rank: 180
Intra Cos: 0.0758684054017067
Inter Cos: 0.004355059005320072
Norm Quadratic Average: 13.786338806152344
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052407264709473
Linear Weight Rank: 179
Intra Cos: 0.11240117251873016
Inter Cos: 0.004685050342231989
Norm Quadratic Average: 13.790102005004883
Nearest Class Center Accuracy: 0.9035

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02874755859375
Linear Weight Rank: 180
Intra Cos: 0.14432665705680847
Inter Cos: 0.012166963890194893
Norm Quadratic Average: 13.775444984436035
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.046063423156738
Linear Weight Rank: 180
Intra Cos: 0.18579675257205963
Inter Cos: 0.011664820834994316
Norm Quadratic Average: 13.764348030090332
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.459315776824951
Linear Weight Rank: 4
Intra Cos: 0.27565798163414
Inter Cos: -0.013023952022194862
Norm Quadratic Average: 13.767844200134277
Nearest Class Center Accuracy: 0.9075

Output Layer:
Intra Cos: 0.7281559705734253
Inter Cos: -0.013423364609479904
Norm Quadratic Average: 11.900324821472168
Nearest Class Center Accuracy: 0.906

