Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.90905237197876
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 7.959070682525635
Linear Weight Rank: 179
Intra Cos: 0.07885035127401352
Inter Cos: 0.00632615527138114
Norm Quadratic Average: 13.682517051696777
Nearest Class Center Accuracy: 0.86825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956207275390625
Linear Weight Rank: 179
Intra Cos: 0.11351026594638824
Inter Cos: 0.008243786171078682
Norm Quadratic Average: 13.673216819763184
Nearest Class Center Accuracy: 0.908125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886868953704834
Linear Weight Rank: 180
Intra Cos: 0.13932791352272034
Inter Cos: 0.0015387313906103373
Norm Quadratic Average: 13.584373474121094
Nearest Class Center Accuracy: 0.9545

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8889079093933105
Linear Weight Rank: 179
Intra Cos: 0.20197582244873047
Inter Cos: -0.01187863852828741
Norm Quadratic Average: 13.543076515197754
Nearest Class Center Accuracy: 0.997125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4107093811035156
Linear Weight Rank: 4
Intra Cos: 0.3620031774044037
Inter Cos: -0.043707650154829025
Norm Quadratic Average: 13.657393455505371
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9234529137611389
Inter Cos: -0.07412977516651154
Norm Quadratic Average: 11.737510681152344
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2833002576828003
Accuracy: 0.9065
NC1 Within Class Collapse: 1.3026418685913086
NC2 Equinorm: Features: 0.026586169376969337, Weights: 0.025551004335284233
NC2 Equiangle: Features: 0.3001159429550171, Weights: 0.11137054363886516
NC3 Self-Duality: 0.22116105258464813
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.90905237197876
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 7.959070682525635
Linear Weight Rank: 179
Intra Cos: 0.08029185235500336
Inter Cos: 0.007133498787879944
Norm Quadratic Average: 13.665355682373047
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956207275390625
Linear Weight Rank: 179
Intra Cos: 0.10910744220018387
Inter Cos: 0.0028621950186789036
Norm Quadratic Average: 13.708157539367676
Nearest Class Center Accuracy: 0.8925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886868953704834
Linear Weight Rank: 180
Intra Cos: 0.12944331765174866
Inter Cos: 0.008836431428790092
Norm Quadratic Average: 13.615951538085938
Nearest Class Center Accuracy: 0.889

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8889079093933105
Linear Weight Rank: 179
Intra Cos: 0.17513026297092438
Inter Cos: -0.010144727304577827
Norm Quadratic Average: 13.510765075683594
Nearest Class Center Accuracy: 0.9105

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4107093811035156
Linear Weight Rank: 4
Intra Cos: 0.28388336300849915
Inter Cos: -0.02664625085890293
Norm Quadratic Average: 13.528182029724121
Nearest Class Center Accuracy: 0.9085

Output Layer:
Intra Cos: 0.755043625831604
Inter Cos: -0.02269352227449417
Norm Quadratic Average: 11.419698715209961
Nearest Class Center Accuracy: 0.9065

