Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.01469898223877
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 7.952000141143799
Linear Weight Rank: 180
Intra Cos: 0.07543399184942245
Inter Cos: 0.0027334890328347683
Norm Quadratic Average: 13.682565689086914
Nearest Class Center Accuracy: 0.871375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.910976409912109
Linear Weight Rank: 180
Intra Cos: 0.11400390416383743
Inter Cos: 0.0026690918020904064
Norm Quadratic Average: 13.658021926879883
Nearest Class Center Accuracy: 0.9235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.922519683837891
Linear Weight Rank: 180
Intra Cos: 0.14065878093242645
Inter Cos: -0.001987822586670518
Norm Quadratic Average: 13.651522636413574
Nearest Class Center Accuracy: 0.9585

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.888132572174072
Linear Weight Rank: 180
Intra Cos: 0.20341059565544128
Inter Cos: -0.011545988731086254
Norm Quadratic Average: 13.61120319366455
Nearest Class Center Accuracy: 0.997375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.379676342010498
Linear Weight Rank: 4
Intra Cos: 0.37040024995803833
Inter Cos: -0.04804345220327377
Norm Quadratic Average: 13.724499702453613
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.918370246887207
Inter Cos: -0.08303031325340271
Norm Quadratic Average: 11.85522174835205
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28482421159744264
Accuracy: 0.8965
NC1 Within Class Collapse: 1.289505958557129
NC2 Equinorm: Features: 0.0175443347543478, Weights: 0.03050479292869568
NC2 Equiangle: Features: 0.28635235627492267, Weights: 0.11698281764984131
NC3 Self-Duality: 0.21123482286930084
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.01469898223877
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
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: 7.952000141143799
Linear Weight Rank: 180
Intra Cos: 0.07637079805135727
Inter Cos: 0.0031216179486364126
Norm Quadratic Average: 13.658160209655762
Nearest Class Center Accuracy: 0.87

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.910976409912109
Linear Weight Rank: 180
Intra Cos: 0.11065343022346497
Inter Cos: -0.0011900102254003286
Norm Quadratic Average: 13.689321517944336
Nearest Class Center Accuracy: 0.9065

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.922519683837891
Linear Weight Rank: 180
Intra Cos: 0.12877124547958374
Inter Cos: 0.004667816683650017
Norm Quadratic Average: 13.708901405334473
Nearest Class Center Accuracy: 0.8955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.888132572174072
Linear Weight Rank: 180
Intra Cos: 0.17280176281929016
Inter Cos: -0.0002040176186710596
Norm Quadratic Average: 13.654242515563965
Nearest Class Center Accuracy: 0.912

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.379676342010498
Linear Weight Rank: 4
Intra Cos: 0.2806470990180969
Inter Cos: -0.029370250180363655
Norm Quadratic Average: 13.62850570678711
Nearest Class Center Accuracy: 0.9025

Output Layer:
Intra Cos: 0.7418309450149536
Inter Cos: -0.0371931754052639
Norm Quadratic Average: 11.538543701171875
Nearest Class Center Accuracy: 0.902

