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_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161005973815918
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
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: 8.055315971374512
Linear Weight Rank: 179
Intra Cos: 0.012041736394166946
Inter Cos: 0.0031718462705612183
Norm Quadratic Average: 4.777628421783447
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036771774291992
Linear Weight Rank: 179
Intra Cos: 0.00965836364775896
Inter Cos: 0.0034475300926715136
Norm Quadratic Average: 1.7783502340316772
Nearest Class Center Accuracy: 0.425625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061600685119629
Linear Weight Rank: 180
Intra Cos: 0.008845722302794456
Inter Cos: 0.005529346875846386
Norm Quadratic Average: 0.6645293831825256
Nearest Class Center Accuracy: 0.4175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033670425415039
Linear Weight Rank: 180
Intra Cos: 0.008540794253349304
Inter Cos: 0.003479494247585535
Norm Quadratic Average: 0.25260525941848755
Nearest Class Center Accuracy: 0.404875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055152893066406
Linear Weight Rank: 180
Intra Cos: 0.009888525120913982
Inter Cos: 0.003274382557719946
Norm Quadratic Average: 0.10102219879627228
Nearest Class Center Accuracy: 0.39975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034697532653809
Linear Weight Rank: 180
Intra Cos: 0.010434960946440697
Inter Cos: 0.002961863297969103
Norm Quadratic Average: 0.039528269320726395
Nearest Class Center Accuracy: 0.39575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033839225769043
Linear Weight Rank: 180
Intra Cos: 0.010373699478805065
Inter Cos: 0.0051809814758598804
Norm Quadratic Average: 0.014836810529232025
Nearest Class Center Accuracy: 0.375375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1442888975143433
Linear Weight Rank: 4
Intra Cos: 0.011772522702813148
Inter Cos: 0.007040753960609436
Norm Quadratic Average: 0.006142206024378538
Nearest Class Center Accuracy: 0.3725

Output Layer:
Intra Cos: 0.017803046852350235
Inter Cos: 0.018549388274550438
Norm Quadratic Average: 0.000506431155372411
Nearest Class Center Accuracy: 0.336125

Test Set:
Average Loss: 1.3836437911987305
Accuracy: 0.2695
NC1 Within Class Collapse: 60.7099609375
NC2 Equinorm: Features: 0.10218128561973572, Weights: 0.05447735637426376
NC2 Equiangle: Features: 0.36423297723134357, Weights: 0.3214331865310669
NC3 Self-Duality: 1.738031268119812
NC4 NCC Mismatch: 0.796

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161005973815918
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055315971374512
Linear Weight Rank: 179
Intra Cos: 0.013128992170095444
Inter Cos: 0.0036049692425876856
Norm Quadratic Average: 4.772983551025391
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036771774291992
Linear Weight Rank: 179
Intra Cos: 0.010471854358911514
Inter Cos: 0.003230912610888481
Norm Quadratic Average: 1.7759859561920166
Nearest Class Center Accuracy: 0.4525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061600685119629
Linear Weight Rank: 180
Intra Cos: 0.008893138729035854
Inter Cos: 0.004049100447446108
Norm Quadratic Average: 0.6623111963272095
Nearest Class Center Accuracy: 0.4185

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033670425415039
Linear Weight Rank: 180
Intra Cos: 0.008746381849050522
Inter Cos: 0.003750207368284464
Norm Quadratic Average: 0.25139638781547546
Nearest Class Center Accuracy: 0.4065

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055152893066406
Linear Weight Rank: 180
Intra Cos: 0.009317753836512566
Inter Cos: 0.003631285624578595
Norm Quadratic Average: 0.10045169293880463
Nearest Class Center Accuracy: 0.405

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034697532653809
Linear Weight Rank: 180
Intra Cos: 0.009048816747963428
Inter Cos: 0.002427872736006975
Norm Quadratic Average: 0.03925471752882004
Nearest Class Center Accuracy: 0.401

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033839225769043
Linear Weight Rank: 180
Intra Cos: 0.008767281658947468
Inter Cos: 0.0032441699877381325
Norm Quadratic Average: 0.014745491556823254
Nearest Class Center Accuracy: 0.376

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1442888975143433
Linear Weight Rank: 4
Intra Cos: 0.009725493378937244
Inter Cos: 0.0048560709692537785
Norm Quadratic Average: 0.006105032749474049
Nearest Class Center Accuracy: 0.369

Output Layer:
Intra Cos: 0.009778319858014584
Inter Cos: 0.016709795221686363
Norm Quadratic Average: 0.0005019576055929065
Nearest Class Center Accuracy: 0.3235

