Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7442387342453003
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7346016764640808
Linear Weight Rank: 179
Intra Cos: 0.028649497777223587
Inter Cos: -0.003979036584496498
Norm Quadratic Average: 0.4363500773906708
Nearest Class Center Accuracy: 0.5775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7329131364822388
Linear Weight Rank: 179
Intra Cos: 0.03234019875526428
Inter Cos: -0.0030667821411043406
Norm Quadratic Average: 0.016590997576713562
Nearest Class Center Accuracy: 0.530625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7351830005645752
Linear Weight Rank: 180
Intra Cos: 0.030216870829463005
Inter Cos: -0.002629825845360756
Norm Quadratic Average: 0.0005750066484324634
Nearest Class Center Accuracy: 0.519

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7326363325119019
Linear Weight Rank: 180
Intra Cos: 0.03088998980820179
Inter Cos: -0.0011258634040132165
Norm Quadratic Average: 1.9921550119761378e-05
Nearest Class Center Accuracy: 0.500375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7345957159996033
Linear Weight Rank: 180
Intra Cos: 0.02696334943175316
Inter Cos: -0.0008571197395212948
Norm Quadratic Average: 7.279379019564658e-07
Nearest Class Center Accuracy: 0.471375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7327309250831604
Linear Weight Rank: 180
Intra Cos: 0.2525453567504883
Inter Cos: 0.25568658113479614
Norm Quadratic Average: 2.989109049167382e-08
Nearest Class Center Accuracy: 0.479

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7326481342315674
Linear Weight Rank: 180
Intra Cos: 0.9942713379859924
Inter Cos: 0.9945523738861084
Norm Quadratic Average: 1.66628471021113e-08
Nearest Class Center Accuracy: 0.242

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.10858993232250214
Linear Weight Rank: 4
Intra Cos: 0.9993930459022522
Inter Cos: 0.9994879364967346
Norm Quadratic Average: 2.1603828059824082e-08
Nearest Class Center Accuracy: 0.280875

Output Layer:
Intra Cos: 0.9999995231628418
Inter Cos: 0.9999998807907104
Norm Quadratic Average: 8.543837992647241e-08
Nearest Class Center Accuracy: 0.280875

Test Set:
Average Loss: 1.3859434356689453
Accuracy: 0.255
NC1 Within Class Collapse: 3.209134101867676
NC2 Equinorm: Features: 0.26434066891670227, Weights: 0.07927411794662476
NC2 Equiangle: Features: 0.24039359887441, Weights: 0.2973934014638265
NC3 Self-Duality: 1.6058577299118042
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7442387342453003
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7346016764640808
Linear Weight Rank: 179
Intra Cos: 0.02594853565096855
Inter Cos: -0.0036954297684133053
Norm Quadratic Average: 0.43697863817214966
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7329131364822388
Linear Weight Rank: 179
Intra Cos: 0.03177712485194206
Inter Cos: -0.005447183735668659
Norm Quadratic Average: 0.01660553738474846
Nearest Class Center Accuracy: 0.5345

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7351830005645752
Linear Weight Rank: 180
Intra Cos: 0.027523551136255264
Inter Cos: -0.002783003030344844
Norm Quadratic Average: 0.0005731863202527165
Nearest Class Center Accuracy: 0.5385

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7326363325119019
Linear Weight Rank: 180
Intra Cos: 0.02708457224071026
Inter Cos: -0.0015250744763761759
Norm Quadratic Average: 1.9773047824855894e-05
Nearest Class Center Accuracy: 0.523

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7345957159996033
Linear Weight Rank: 180
Intra Cos: 0.02322566695511341
Inter Cos: -0.00026354941655881703
Norm Quadratic Average: 7.245765800689696e-07
Nearest Class Center Accuracy: 0.4895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7327309250831604
Linear Weight Rank: 180
Intra Cos: 0.046832431107759476
Inter Cos: 0.03267259523272514
Norm Quadratic Average: 2.656871878059519e-08
Nearest Class Center Accuracy: 0.4715

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7326481342315674
Linear Weight Rank: 180
Intra Cos: 0.9008796811103821
Inter Cos: 0.9058727025985718
Norm Quadratic Average: 4.018808841266264e-09
Nearest Class Center Accuracy: 0.2475

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.10858993232250214
Linear Weight Rank: 4
Intra Cos: 0.9935436844825745
Inter Cos: 0.9943007230758667
Norm Quadratic Average: 6.444239808445218e-09
Nearest Class Center Accuracy: 0.254

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.0
Norm Quadratic Average: 5.0014712371648784e-08
Nearest Class Center Accuracy: 0.255

