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_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1241061687469482
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1295151710510254
Linear Weight Rank: 179
Intra Cos: 0.023620877414941788
Inter Cos: -0.002578810090199113
Norm Quadratic Average: 1.8572535514831543
Nearest Class Center Accuracy: 0.56825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.13696551322937
Linear Weight Rank: 179
Intra Cos: 0.017625130712985992
Inter Cos: -0.0012500232551246881
Norm Quadratic Average: 0.25116637349128723
Nearest Class Center Accuracy: 0.53875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1144707202911377
Linear Weight Rank: 179
Intra Cos: 0.015287676826119423
Inter Cos: 0.0010123825632035732
Norm Quadratic Average: 0.03691142797470093
Nearest Class Center Accuracy: 0.495625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.118062734603882
Linear Weight Rank: 180
Intra Cos: 0.019045919179916382
Inter Cos: 0.0044270167127251625
Norm Quadratic Average: 0.005829080939292908
Nearest Class Center Accuracy: 0.488125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1263680458068848
Linear Weight Rank: 179
Intra Cos: 0.01597519963979721
Inter Cos: 0.006533966865390539
Norm Quadratic Average: 0.0009024018072523177
Nearest Class Center Accuracy: 0.461

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1183431148529053
Linear Weight Rank: 180
Intra Cos: 0.01836886629462242
Inter Cos: 0.006714299321174622
Norm Quadratic Average: 0.0001338774018222466
Nearest Class Center Accuracy: 0.437

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1162569522857666
Linear Weight Rank: 179
Intra Cos: 0.019622931256890297
Inter Cos: 0.009014913812279701
Norm Quadratic Average: 2.1695481336792e-05
Nearest Class Center Accuracy: 0.42625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4609799087047577
Linear Weight Rank: 4
Intra Cos: 0.017150335013866425
Inter Cos: 0.010926269926130772
Norm Quadratic Average: 3.4268919080204796e-06
Nearest Class Center Accuracy: 0.427

Output Layer:
Intra Cos: 0.2541092336177826
Inter Cos: 0.32930949330329895
Norm Quadratic Average: 1.4595556763197237e-07
Nearest Class Center Accuracy: 0.2825

Test Set:
Average Loss: 1.3864087829589844
Accuracy: 0.255
NC1 Within Class Collapse: 32.89840316772461
NC2 Equinorm: Features: 0.21680164337158203, Weights: 0.025732550770044327
NC2 Equiangle: Features: 0.1825352907180786, Weights: 0.3417675495147705
NC3 Self-Duality: 1.8458844423294067
NC4 NCC Mismatch: 0.746

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1241061687469482
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 3.1295151710510254
Linear Weight Rank: 179
Intra Cos: 0.02337375096976757
Inter Cos: -0.0016145837726071477
Norm Quadratic Average: 1.862282633781433
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.13696551322937
Linear Weight Rank: 179
Intra Cos: 0.016743406653404236
Inter Cos: -0.0008606507908552885
Norm Quadratic Average: 0.2513082027435303
Nearest Class Center Accuracy: 0.544

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1144707202911377
Linear Weight Rank: 179
Intra Cos: 0.014166046865284443
Inter Cos: 0.0013458477333188057
Norm Quadratic Average: 0.03693384304642677
Nearest Class Center Accuracy: 0.505

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.118062734603882
Linear Weight Rank: 180
Intra Cos: 0.019268391653895378
Inter Cos: 0.006172295194119215
Norm Quadratic Average: 0.005822912789881229
Nearest Class Center Accuracy: 0.494

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1263680458068848
Linear Weight Rank: 179
Intra Cos: 0.017371904104948044
Inter Cos: 0.007595784030854702
Norm Quadratic Average: 0.0009019544231705368
Nearest Class Center Accuracy: 0.47

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1183431148529053
Linear Weight Rank: 180
Intra Cos: 0.01721566915512085
Inter Cos: 0.005986913572996855
Norm Quadratic Average: 0.00013345835031941533
Nearest Class Center Accuracy: 0.445

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1162569522857666
Linear Weight Rank: 179
Intra Cos: 0.017252279445528984
Inter Cos: 0.008774283342063427
Norm Quadratic Average: 2.1607040253002197e-05
Nearest Class Center Accuracy: 0.4355

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4609799087047577
Linear Weight Rank: 4
Intra Cos: 0.016660595312714577
Inter Cos: 0.01065980177372694
Norm Quadratic Average: 3.4114837035303935e-06
Nearest Class Center Accuracy: 0.4355

Output Layer:
Intra Cos: 0.015955600887537003
Inter Cos: 0.06062164530158043
Norm Quadratic Average: 1.263620532654386e-07
Nearest Class Center Accuracy: 0.315

