Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_18_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.434514999389648
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938883781433105
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.993748664855957
Intra Cos: 0.03208756446838379
Inter Cos: -0.0072449869476258755
Norm Quadratic Average: 3.8077685832977295
Nearest Class Center Accuracy: 0.64275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.163805961608887
Intra Cos: 0.050421811640262604
Inter Cos: -0.009665781632065773
Norm Quadratic Average: 3.457491159439087
Nearest Class Center Accuracy: 0.785

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.496537685394287
Intra Cos: 0.10919296741485596
Inter Cos: -0.029600586742162704
Norm Quadratic Average: 2.707878828048706
Nearest Class Center Accuracy: 0.9555

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.823507070541382
Intra Cos: 0.3180178105831146
Inter Cos: -0.08492298424243927
Norm Quadratic Average: 1.8169519901275635
Nearest Class Center Accuracy: 0.999125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6902570724487305
Intra Cos: 0.7274163365364075
Inter Cos: -0.218462735414505
Norm Quadratic Average: 1.0748463869094849
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2732560634613037
Intra Cos: 0.9535832405090332
Inter Cos: -0.13774165511131287
Norm Quadratic Average: 0.6295010447502136
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2235225439071655
Intra Cos: 0.9747269749641418
Inter Cos: -0.0826675221323967
Norm Quadratic Average: 0.5545833110809326
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.245798945426941
Intra Cos: 0.9748550653457642
Inter Cos: -0.0862852931022644
Norm Quadratic Average: 0.5396237969398499
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.313901424407959
Intra Cos: 0.9736806750297546
Inter Cos: -0.10392121225595474
Norm Quadratic Average: 0.5804420709609985
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3470724821090698
Intra Cos: 0.9682598114013672
Inter Cos: -0.10308637470006943
Norm Quadratic Average: 0.6058791875839233
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.379792332649231
Intra Cos: 0.9722506403923035
Inter Cos: -0.07430938631296158
Norm Quadratic Average: 0.6329993605613708
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.464017391204834
Intra Cos: 0.969803512096405
Inter Cos: -0.07657560706138611
Norm Quadratic Average: 0.7217809557914734
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5619754791259766
Intra Cos: 0.9718291163444519
Inter Cos: -0.06726828217506409
Norm Quadratic Average: 0.8210377097129822
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7220960855484009
Intra Cos: 0.9689487814903259
Inter Cos: -0.08939360827207565
Norm Quadratic Average: 0.9462772011756897
Nearest Class Center Accuracy: 1.0

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.932874083518982
Intra Cos: 0.9716219902038574
Inter Cos: -0.17999516427516937
Norm Quadratic Average: 1.0316088199615479
Nearest Class Center Accuracy: 1.0

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1167824268341064
Intra Cos: 0.9823125600814819
Inter Cos: -0.22991687059402466
Norm Quadratic Average: 1.1143975257873535
Nearest Class Center Accuracy: 1.0

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.518001079559326
Intra Cos: 0.9840506911277771
Inter Cos: -0.28522834181785583
Norm Quadratic Average: 3.3682847023010254
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9898685216903687
Inter Cos: -0.25377562642097473
Norm Quadratic Average: 6.711762428283691
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1651733627319336
Accuracy: 0.7605
NC1 Within Class Collapse: 2.6346940994262695
NC2 Equinorm: Features: 0.04566618800163269, Weights: 0.01822608895599842
NC2 Equiangle: Features: 0.03926696379979452, Weights: 0.018560871481895447
NC3 Self-Duality: 0.02899377979338169
NC4 NCC Mismatch: 0.006000000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.434514999389648
Intra Cos: 0.03043147176504135
Inter Cos: -0.0045497240498661995
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: 10.993748664855957
Intra Cos: 0.029040027409791946
Inter Cos: -0.004299159627407789
Norm Quadratic Average: 3.801769971847534
Nearest Class Center Accuracy: 0.6285

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.163805961608887
Intra Cos: 0.04098791629076004
Inter Cos: -0.004435745999217033
Norm Quadratic Average: 3.4532675743103027
Nearest Class Center Accuracy: 0.707

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.496537685394287
Intra Cos: 0.06666556745767593
Inter Cos: -0.007658848538994789
Norm Quadratic Average: 2.6499087810516357
Nearest Class Center Accuracy: 0.7405

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.823507070541382
Intra Cos: 0.1597563624382019
Inter Cos: -0.031156910583376884
Norm Quadratic Average: 1.6845651865005493
Nearest Class Center Accuracy: 0.759

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6902570724487305
Intra Cos: 0.29354873299598694
Inter Cos: -0.06201966106891632
Norm Quadratic Average: 0.9417247772216797
Nearest Class Center Accuracy: 0.7615

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2732560634613037
Intra Cos: 0.3147387206554413
Inter Cos: -0.054149970412254333
Norm Quadratic Average: 0.5476697087287903
Nearest Class Center Accuracy: 0.7635

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2235225439071655
Intra Cos: 0.3145396411418915
Inter Cos: -0.018965737894177437
Norm Quadratic Average: 0.48204275965690613
Nearest Class Center Accuracy: 0.7575

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.245798945426941
Intra Cos: 0.31357842683792114
Inter Cos: -0.020695941522717476
Norm Quadratic Average: 0.4693722128868103
Nearest Class Center Accuracy: 0.756

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.313901424407959
Intra Cos: 0.3100217580795288
Inter Cos: -0.03235374391078949
Norm Quadratic Average: 0.5047716498374939
Nearest Class Center Accuracy: 0.756

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3470724821090698
Intra Cos: 0.30137696862220764
Inter Cos: -0.028851352632045746
Norm Quadratic Average: 0.526151180267334
Nearest Class Center Accuracy: 0.7525

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.379792332649231
Intra Cos: 0.3020910322666168
Inter Cos: -0.01774095930159092
Norm Quadratic Average: 0.5491909980773926
Nearest Class Center Accuracy: 0.7515

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.464017391204834
Intra Cos: 0.30040398240089417
Inter Cos: -0.03136254847049713
Norm Quadratic Average: 0.6259753108024597
Nearest Class Center Accuracy: 0.7555

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5619754791259766
Intra Cos: 0.30540063977241516
Inter Cos: -0.04598698392510414
Norm Quadratic Average: 0.7084159255027771
Nearest Class Center Accuracy: 0.7565

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7220960855484009
Intra Cos: 0.31722670793533325
Inter Cos: -0.0582297183573246
Norm Quadratic Average: 0.8189708590507507
Nearest Class Center Accuracy: 0.7595

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.932874083518982
Intra Cos: 0.3505863845348358
Inter Cos: -0.08068624883890152
Norm Quadratic Average: 0.9074050784111023
Nearest Class Center Accuracy: 0.759

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1167824268341064
Intra Cos: 0.3986375331878662
Inter Cos: -0.07235046476125717
Norm Quadratic Average: 1.002461314201355
Nearest Class Center Accuracy: 0.7585

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.518001079559326
Intra Cos: 0.440784215927124
Inter Cos: -0.12631352245807648
Norm Quadratic Average: 3.141741991043091
Nearest Class Center Accuracy: 0.762

Output Layer:
Intra Cos: 0.46172451972961426
Inter Cos: -0.12800739705562592
Norm Quadratic Average: 6.198166847229004
Nearest Class Center Accuracy: 0.7615

