Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1785796880722046
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 1.3646351099014282
Linear Weight Rank: 179
Intra Cos: 0.12910977005958557
Inter Cos: 0.004477662034332752
Norm Quadratic Average: 1.803628921508789
Nearest Class Center Accuracy: 0.93675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1961935758590698
Linear Weight Rank: 179
Intra Cos: 0.18381144106388092
Inter Cos: -0.006180639378726482
Norm Quadratic Average: 1.619239330291748
Nearest Class Center Accuracy: 0.976875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0876139402389526
Linear Weight Rank: 179
Intra Cos: 0.3533557653427124
Inter Cos: -0.016607925295829773
Norm Quadratic Average: 1.5827522277832031
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0781890153884888
Linear Weight Rank: 178
Intra Cos: 0.7782574892044067
Inter Cos: -0.11987290531396866
Norm Quadratic Average: 1.6960763931274414
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1577231884002686
Linear Weight Rank: 4
Intra Cos: 0.9921038150787354
Inter Cos: -0.2821299433708191
Norm Quadratic Average: 2.766005277633667
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9993610382080078
Inter Cos: -0.26972219347953796
Norm Quadratic Average: 3.428356647491455
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.16700812196731568
Accuracy: 0.9565
NC1 Within Class Collapse: 0.30497729778289795
NC2 Equinorm: Features: 0.0018709457945078611, Weights: 0.022923225536942482
NC2 Equiangle: Features: 0.08985402186711629, Weights: 0.022024447719256084
NC3 Self-Duality: 0.010203994810581207
NC4 NCC Mismatch: 0.0014999999999999458

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1785796880722046
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: 1.3646351099014282
Linear Weight Rank: 179
Intra Cos: 0.12994879484176636
Inter Cos: 0.003888675943017006
Norm Quadratic Average: 1.8010121583938599
Nearest Class Center Accuracy: 0.9385

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1961935758590698
Linear Weight Rank: 179
Intra Cos: 0.17243444919586182
Inter Cos: -0.003759183920919895
Norm Quadratic Average: 1.6196012496948242
Nearest Class Center Accuracy: 0.944

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0876139402389526
Linear Weight Rank: 179
Intra Cos: 0.31385985016822815
Inter Cos: -0.015014329925179482
Norm Quadratic Average: 1.570395827293396
Nearest Class Center Accuracy: 0.9575

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0781890153884888
Linear Weight Rank: 178
Intra Cos: 0.6926824450492859
Inter Cos: -0.07864145189523697
Norm Quadratic Average: 1.650470495223999
Nearest Class Center Accuracy: 0.9585

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1577231884002686
Linear Weight Rank: 4
Intra Cos: 0.8823237419128418
Inter Cos: -0.20954866707324982
Norm Quadratic Average: 2.6073789596557617
Nearest Class Center Accuracy: 0.957

Output Layer:
Intra Cos: 0.8928619623184204
Inter Cos: -0.19442340731620789
Norm Quadratic Average: 3.2249746322631836
Nearest Class Center Accuracy: 0.957

