Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.97387170791626
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987734794616699
Linear Weight Rank: 179
Intra Cos: 0.012765436433255672
Inter Cos: 0.005192840937525034
Norm Quadratic Average: 4.742285251617432
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.006773948669434
Linear Weight Rank: 179
Intra Cos: 0.009392197243869305
Inter Cos: 0.0024660644121468067
Norm Quadratic Average: 1.6365612745285034
Nearest Class Center Accuracy: 0.442125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9492645263671875
Linear Weight Rank: 179
Intra Cos: 0.009314081631600857
Inter Cos: 0.0005810782313346863
Norm Quadratic Average: 0.5902554392814636
Nearest Class Center Accuracy: 0.423625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958492755889893
Linear Weight Rank: 180
Intra Cos: 0.009638719260692596
Inter Cos: 0.002053645672276616
Norm Quadratic Average: 0.22280342876911163
Nearest Class Center Accuracy: 0.41725

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979629993438721
Linear Weight Rank: 179
Intra Cos: 0.010389501228928566
Inter Cos: 0.004279301036149263
Norm Quadratic Average: 0.08773788064718246
Nearest Class Center Accuracy: 0.4015

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959024906158447
Linear Weight Rank: 180
Intra Cos: 0.01069969218224287
Inter Cos: 0.00518412422388792
Norm Quadratic Average: 0.03140528127551079
Nearest Class Center Accuracy: 0.39775

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953736305236816
Linear Weight Rank: 179
Intra Cos: 0.010295371524989605
Inter Cos: 0.003910066094249487
Norm Quadratic Average: 0.012933093123137951
Nearest Class Center Accuracy: 0.385625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1704602241516113
Linear Weight Rank: 4
Intra Cos: 0.010406740009784698
Inter Cos: 0.0075009227730333805
Norm Quadratic Average: 0.0052620843052864075
Nearest Class Center Accuracy: 0.382625

Output Layer:
Intra Cos: 0.014445167034864426
Inter Cos: 0.03251038119196892
Norm Quadratic Average: 0.0005242774495854974
Nearest Class Center Accuracy: 0.36925

Test Set:
Average Loss: 1.3836405334472657
Accuracy: 0.2695
NC1 Within Class Collapse: 85.66792297363281
NC2 Equinorm: Features: 0.21580645442008972, Weights: 0.02133619785308838
NC2 Equiangle: Features: 0.3342884381612142, Weights: 0.3450484275817871
NC3 Self-Duality: 1.6600816249847412
NC4 NCC Mismatch: 0.724

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.97387170791626
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987734794616699
Linear Weight Rank: 179
Intra Cos: 0.014100909233093262
Inter Cos: 0.005463114473968744
Norm Quadratic Average: 4.72789192199707
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.006773948669434
Linear Weight Rank: 179
Intra Cos: 0.009899185970425606
Inter Cos: 0.0028027661610394716
Norm Quadratic Average: 1.6364728212356567
Nearest Class Center Accuracy: 0.4445

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9492645263671875
Linear Weight Rank: 179
Intra Cos: 0.008724156767129898
Inter Cos: 0.002699563978239894
Norm Quadratic Average: 0.5906202793121338
Nearest Class Center Accuracy: 0.421

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.958492755889893
Linear Weight Rank: 180
Intra Cos: 0.008515042252838612
Inter Cos: 0.004325622692704201
Norm Quadratic Average: 0.2228793203830719
Nearest Class Center Accuracy: 0.4015

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979629993438721
Linear Weight Rank: 179
Intra Cos: 0.009944524616003036
Inter Cos: 0.003712809644639492
Norm Quadratic Average: 0.08771047741174698
Nearest Class Center Accuracy: 0.4095

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959024906158447
Linear Weight Rank: 180
Intra Cos: 0.009498044848442078
Inter Cos: 0.004652274306863546
Norm Quadratic Average: 0.03142448887228966
Nearest Class Center Accuracy: 0.398

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953736305236816
Linear Weight Rank: 179
Intra Cos: 0.009584763087332249
Inter Cos: 0.004600852262228727
Norm Quadratic Average: 0.012954645790159702
Nearest Class Center Accuracy: 0.3805

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1704602241516113
Linear Weight Rank: 4
Intra Cos: 0.00991999264806509
Inter Cos: 0.005710224620997906
Norm Quadratic Average: 0.005271786358207464
Nearest Class Center Accuracy: 0.3745

Output Layer:
Intra Cos: 0.007491560652852058
Inter Cos: 0.025287341326475143
Norm Quadratic Average: 0.0005318854819051921
Nearest Class Center Accuracy: 0.369

