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_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.084664821624756
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: 7.12123441696167
Linear Weight Rank: 179
Intra Cos: 0.06467167288064957
Inter Cos: 0.004671528935432434
Norm Quadratic Average: 12.054162979125977
Nearest Class Center Accuracy: 0.86175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069491863250732
Linear Weight Rank: 179
Intra Cos: 0.09469911456108093
Inter Cos: 0.0036065957974642515
Norm Quadratic Average: 12.04871940612793
Nearest Class Center Accuracy: 0.902125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.028895854949951
Linear Weight Rank: 180
Intra Cos: 0.11671406030654907
Inter Cos: 0.004814039915800095
Norm Quadratic Average: 12.030858993530273
Nearest Class Center Accuracy: 0.94325

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.028971195220947
Linear Weight Rank: 180
Intra Cos: 0.14188043773174286
Inter Cos: 0.0006706598214805126
Norm Quadratic Average: 12.017352104187012
Nearest Class Center Accuracy: 0.9705

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012662410736084
Linear Weight Rank: 179
Intra Cos: 0.18120166659355164
Inter Cos: -0.005794841796159744
Norm Quadratic Average: 12.001311302185059
Nearest Class Center Accuracy: 0.99225

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012684345245361
Linear Weight Rank: 179
Intra Cos: 0.2461162805557251
Inter Cos: -0.014705686829984188
Norm Quadratic Average: 11.988858222961426
Nearest Class Center Accuracy: 0.99925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.000538349151611
Linear Weight Rank: 179
Intra Cos: 0.3255513906478882
Inter Cos: -0.033777035772800446
Norm Quadratic Average: 11.996586799621582
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.929420828819275
Linear Weight Rank: 4
Intra Cos: 0.5195247530937195
Inter Cos: -0.12361623346805573
Norm Quadratic Average: 12.149640083312988
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.965648889541626
Inter Cos: -0.17144596576690674
Norm Quadratic Average: 9.368430137634277
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3305172328948975
Accuracy: 0.887
NC1 Within Class Collapse: 1.1477797031402588
NC2 Equinorm: Features: 0.018784919753670692, Weights: 0.023609261959791183
NC2 Equiangle: Features: 0.21497084697087607, Weights: 0.10349381963411967
NC3 Self-Duality: 0.2260405570268631
NC4 NCC Mismatch: 0.012499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.084664821624756
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: 7.12123441696167
Linear Weight Rank: 179
Intra Cos: 0.06316450983285904
Inter Cos: 0.0022246951702982187
Norm Quadratic Average: 12.038357734680176
Nearest Class Center Accuracy: 0.8615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069491863250732
Linear Weight Rank: 179
Intra Cos: 0.09090637415647507
Inter Cos: 0.004495371598750353
Norm Quadratic Average: 12.030627250671387
Nearest Class Center Accuracy: 0.8845

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.028895854949951
Linear Weight Rank: 180
Intra Cos: 0.10885580629110336
Inter Cos: -0.0010471083223819733
Norm Quadratic Average: 12.04472827911377
Nearest Class Center Accuracy: 0.894

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.028971195220947
Linear Weight Rank: 180
Intra Cos: 0.1267874538898468
Inter Cos: 0.002933255396783352
Norm Quadratic Average: 11.98385238647461
Nearest Class Center Accuracy: 0.887

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012662410736084
Linear Weight Rank: 179
Intra Cos: 0.15161755681037903
Inter Cos: -0.0017085885629057884
Norm Quadratic Average: 11.936028480529785
Nearest Class Center Accuracy: 0.9015

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012684345245361
Linear Weight Rank: 179
Intra Cos: 0.19213153421878815
Inter Cos: -0.002560353372246027
Norm Quadratic Average: 11.85468578338623
Nearest Class Center Accuracy: 0.8985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.000538349151611
Linear Weight Rank: 179
Intra Cos: 0.24670498073101044
Inter Cos: -0.005202476400882006
Norm Quadratic Average: 11.7274169921875
Nearest Class Center Accuracy: 0.8965

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.929420828819275
Linear Weight Rank: 4
Intra Cos: 0.36264801025390625
Inter Cos: -0.04323073849081993
Norm Quadratic Average: 11.502096176147461
Nearest Class Center Accuracy: 0.8895

Output Layer:
Intra Cos: 0.7098815441131592
Inter Cos: -0.041591301560401917
Norm Quadratic Average: 8.472874641418457
Nearest Class Center Accuracy: 0.8885

