Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_846264_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.500967979431152
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 6.543003082275391
Linear Weight Rank: 179
Intra Cos: 0.06501886248588562
Inter Cos: 0.004427154082804918
Norm Quadratic Average: 11.155069351196289
Nearest Class Center Accuracy: 0.860625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.49238395690918
Linear Weight Rank: 179
Intra Cos: 0.09538386017084122
Inter Cos: 0.003964426927268505
Norm Quadratic Average: 11.119484901428223
Nearest Class Center Accuracy: 0.908

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.453685760498047
Linear Weight Rank: 180
Intra Cos: 0.12315939366817474
Inter Cos: 0.0032998521346598864
Norm Quadratic Average: 11.073556900024414
Nearest Class Center Accuracy: 0.94725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.453073024749756
Linear Weight Rank: 180
Intra Cos: 0.14857298135757446
Inter Cos: 0.0013586581917479634
Norm Quadratic Average: 11.06919002532959
Nearest Class Center Accuracy: 0.96575

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.437081813812256
Linear Weight Rank: 179
Intra Cos: 0.18201500177383423
Inter Cos: -0.008276253007352352
Norm Quadratic Average: 11.038484573364258
Nearest Class Center Accuracy: 0.990125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.436580657958984
Linear Weight Rank: 179
Intra Cos: 0.25686702132225037
Inter Cos: -0.017660407349467278
Norm Quadratic Average: 11.00853443145752
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.425312042236328
Linear Weight Rank: 179
Intra Cos: 0.3389468789100647
Inter Cos: -0.03671206533908844
Norm Quadratic Average: 11.034581184387207
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8469927310943604
Linear Weight Rank: 4
Intra Cos: 0.5513404607772827
Inter Cos: -0.1342334747314453
Norm Quadratic Average: 11.20529842376709
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9697975516319275
Inter Cos: -0.1776910275220871
Norm Quadratic Average: 8.555381774902344
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3317975435256958
Accuracy: 0.881
NC1 Within Class Collapse: 1.1180129051208496
NC2 Equinorm: Features: 0.01602398231625557, Weights: 0.024241149425506592
NC2 Equiangle: Features: 0.20491141080856323, Weights: 0.09749506910641988
NC3 Self-Duality: 0.2109532356262207
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.500967979431152
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 6.543003082275391
Linear Weight Rank: 179
Intra Cos: 0.06335654109716415
Inter Cos: 0.0021985324565321207
Norm Quadratic Average: 11.13687801361084
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.49238395690918
Linear Weight Rank: 179
Intra Cos: 0.09188923239707947
Inter Cos: 0.003578055649995804
Norm Quadratic Average: 11.10076904296875
Nearest Class Center Accuracy: 0.892

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.453685760498047
Linear Weight Rank: 180
Intra Cos: 0.11573269963264465
Inter Cos: -0.0019557098858058453
Norm Quadratic Average: 11.086294174194336
Nearest Class Center Accuracy: 0.9005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.453073024749756
Linear Weight Rank: 180
Intra Cos: 0.1329469531774521
Inter Cos: 0.003371240571141243
Norm Quadratic Average: 11.042283058166504
Nearest Class Center Accuracy: 0.8915

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.437081813812256
Linear Weight Rank: 179
Intra Cos: 0.1525726616382599
Inter Cos: -0.0025426640640944242
Norm Quadratic Average: 10.987614631652832
Nearest Class Center Accuracy: 0.8925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.436580657958984
Linear Weight Rank: 179
Intra Cos: 0.20003975927829742
Inter Cos: -0.004485241137444973
Norm Quadratic Average: 10.895330429077148
Nearest Class Center Accuracy: 0.89

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.425312042236328
Linear Weight Rank: 179
Intra Cos: 0.2587190270423889
Inter Cos: -0.007436803542077541
Norm Quadratic Average: 10.776267051696777
Nearest Class Center Accuracy: 0.893

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8469927310943604
Linear Weight Rank: 4
Intra Cos: 0.38991275429725647
Inter Cos: -0.050216637551784515
Norm Quadratic Average: 10.557565689086914
Nearest Class Center Accuracy: 0.8855

Output Layer:
Intra Cos: 0.7235665321350098
Inter Cos: -0.04987578094005585
Norm Quadratic Average: 7.726322650909424
Nearest Class Center Accuracy: 0.8845

