Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.052998542785645
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 8.085917472839355
Linear Weight Rank: 180
Intra Cos: 0.06386129558086395
Inter Cos: 0.004485956858843565
Norm Quadratic Average: 13.705676078796387
Nearest Class Center Accuracy: 0.8605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031549453735352
Linear Weight Rank: 179
Intra Cos: 0.09189017117023468
Inter Cos: 0.004340438172221184
Norm Quadratic Average: 13.70624828338623
Nearest Class Center Accuracy: 0.896625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987778663635254
Linear Weight Rank: 180
Intra Cos: 0.11382904648780823
Inter Cos: 0.006414208095520735
Norm Quadratic Average: 13.681244850158691
Nearest Class Center Accuracy: 0.9385

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9902472496032715
Linear Weight Rank: 180
Intra Cos: 0.13573859632015228
Inter Cos: 0.0001456358004361391
Norm Quadratic Average: 13.651397705078125
Nearest Class Center Accuracy: 0.96275

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9727606773376465
Linear Weight Rank: 179
Intra Cos: 0.17145007848739624
Inter Cos: -0.009328898042440414
Norm Quadratic Average: 13.629007339477539
Nearest Class Center Accuracy: 0.98775

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973485469818115
Linear Weight Rank: 179
Intra Cos: 0.22742959856987
Inter Cos: -0.01558603160083294
Norm Quadratic Average: 13.634023666381836
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9600629806518555
Linear Weight Rank: 179
Intra Cos: 0.29524680972099304
Inter Cos: -0.027211179956793785
Norm Quadratic Average: 13.648670196533203
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.068667411804199
Linear Weight Rank: 4
Intra Cos: 0.46408265829086304
Inter Cos: -0.1039537563920021
Norm Quadratic Average: 13.811556816101074
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.959912121295929
Inter Cos: -0.14959853887557983
Norm Quadratic Average: 10.812459945678711
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.36528106689453127
Accuracy: 0.8885
NC1 Within Class Collapse: 1.2131602764129639
NC2 Equinorm: Features: 0.017488380894064903, Weights: 0.023789439350366592
NC2 Equiangle: Features: 0.22498861948649088, Weights: 0.11692623297373454
NC3 Self-Duality: 0.24367839097976685
NC4 NCC Mismatch: 0.020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.052998542785645
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 8.085917472839355
Linear Weight Rank: 180
Intra Cos: 0.06232354789972305
Inter Cos: 0.0021509083453565836
Norm Quadratic Average: 13.686532974243164
Nearest Class Center Accuracy: 0.862

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031549453735352
Linear Weight Rank: 179
Intra Cos: 0.08847352117300034
Inter Cos: 0.0036058633122593164
Norm Quadratic Average: 13.685105323791504
Nearest Class Center Accuracy: 0.879

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987778663635254
Linear Weight Rank: 180
Intra Cos: 0.10645698010921478
Inter Cos: 0.0007610497996211052
Norm Quadratic Average: 13.696264266967773
Nearest Class Center Accuracy: 0.893

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9902472496032715
Linear Weight Rank: 180
Intra Cos: 0.12166593223810196
Inter Cos: 0.002437492599710822
Norm Quadratic Average: 13.630045890808105
Nearest Class Center Accuracy: 0.892

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9727606773376465
Linear Weight Rank: 179
Intra Cos: 0.1452270746231079
Inter Cos: -0.00419796584174037
Norm Quadratic Average: 13.583598136901855
Nearest Class Center Accuracy: 0.8945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973485469818115
Linear Weight Rank: 179
Intra Cos: 0.17846298217773438
Inter Cos: -0.005124453455209732
Norm Quadratic Average: 13.530173301696777
Nearest Class Center Accuracy: 0.889

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9600629806518555
Linear Weight Rank: 179
Intra Cos: 0.22235557436943054
Inter Cos: -0.004482796415686607
Norm Quadratic Average: 13.386466979980469
Nearest Class Center Accuracy: 0.8945

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.068667411804199
Linear Weight Rank: 4
Intra Cos: 0.3264025151729584
Inter Cos: -0.03683704510331154
Norm Quadratic Average: 13.142033576965332
Nearest Class Center Accuracy: 0.894

Output Layer:
Intra Cos: 0.704171359539032
Inter Cos: -0.03582051023840904
Norm Quadratic Average: 9.814420700073242
Nearest Class Center Accuracy: 0.887

