Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.003.pth.tar
Training Set:
Average Loss: 0.004201242040842772
Accuracy: 1.0
NC1 Within Class Collapse: 0.0179727915674448
NC2 Equinorm: Features: 0.01996711827814579, Weights: 0.021112462505698204
NC2 Equiangle: Features: 0.012450228134791056, Weights: 0.019520695010821026
NC3 Self-Duality: 0.004932072013616562
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.985570430755615
Intra Cos: 0.03354979306459427
Inter Cos: -0.005712222773581743
Norm Quadratic Average: 4.000314712524414
Nearest Class Center Accuracy: 0.58025

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.5039448738098145
Intra Cos: 0.034833457320928574
Inter Cos: -0.006682408973574638
Norm Quadratic Average: 2.321739435195923
Nearest Class Center Accuracy: 0.66725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.566522598266602
Intra Cos: 0.05574878677725792
Inter Cos: -0.011966458521783352
Norm Quadratic Average: 2.0658020973205566
Nearest Class Center Accuracy: 0.86725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0887975692749023
Intra Cos: 0.2013789564371109
Inter Cos: -0.048004280775785446
Norm Quadratic Average: 1.4421254396438599
Nearest Class Center Accuracy: 0.99625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0737179517745972
Intra Cos: 0.7580424547195435
Inter Cos: -0.17455844581127167
Norm Quadratic Average: 0.7985013127326965
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7726815342903137
Intra Cos: 0.9757331609725952
Inter Cos: -0.07802098244428635
Norm Quadratic Average: 0.3500424921512604
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7396286725997925
Intra Cos: 0.9783148765563965
Inter Cos: 0.1312890201807022
Norm Quadratic Average: 0.2669081687927246
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7299292087554932
Intra Cos: 0.9897377490997314
Inter Cos: 0.06627735495567322
Norm Quadratic Average: 0.2553520202636719
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7413328886032104
Intra Cos: 0.9896189570426941
Inter Cos: 0.0568854995071888
Norm Quadratic Average: 0.2583611011505127
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7474445104598999
Intra Cos: 0.9893332719802856
Inter Cos: 0.034875474870204926
Norm Quadratic Average: 0.2717970907688141
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.752808153629303
Intra Cos: 0.9888513684272766
Inter Cos: -0.005790061317384243
Norm Quadratic Average: 0.28965553641319275
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.772811770439148
Intra Cos: 0.9883037209510803
Inter Cos: -0.0694529190659523
Norm Quadratic Average: 0.31124207377433777
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8635963797569275
Intra Cos: 0.9873639941215515
Inter Cos: -0.18886899948120117
Norm Quadratic Average: 0.42268234491348267
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0660066604614258
Intra Cos: 0.9889941811561584
Inter Cos: -0.23787543177604675
Norm Quadratic Average: 0.6492363214492798
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2220418453216553
Intra Cos: 0.9932060241699219
Inter Cos: -0.2634589970111847
Norm Quadratic Average: 3.1080126762390137
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9969892501831055
Inter Cos: -0.22136721014976501
Norm Quadratic Average: 5.77493143081665
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.20111368560791
Accuracy: 0.716
NC1 Within Class Collapse: 3.469259023666382
NC2 Equinorm: Features: 0.060828786343336105, Weights: 0.021112462505698204
NC2 Equiangle: Features: 0.07702415684858958, Weights: 0.019520695010821026
NC3 Self-Duality: 0.013754862360656261
NC4 NCC Mismatch: 0.01200000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.985570430755615
Intra Cos: 0.03459429368376732
Inter Cos: -0.002618459751829505
Norm Quadratic Average: 3.9999916553497314
Nearest Class Center Accuracy: 0.577

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.5039448738098145
Intra Cos: 0.034369222819805145
Inter Cos: -0.003572561778128147
Norm Quadratic Average: 2.3315601348876953
Nearest Class Center Accuracy: 0.647

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.566522598266602
Intra Cos: 0.03743639215826988
Inter Cos: -0.003863042686134577
Norm Quadratic Average: 2.0607473850250244
Nearest Class Center Accuracy: 0.716

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0887975692749023
Intra Cos: 0.10565714538097382
Inter Cos: -0.005550817586481571
Norm Quadratic Average: 1.3590196371078491
Nearest Class Center Accuracy: 0.726

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0737179517745972
Intra Cos: 0.3206745684146881
Inter Cos: -0.05606871843338013
Norm Quadratic Average: 0.6870084404945374
Nearest Class Center Accuracy: 0.721

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7726815342903137
Intra Cos: 0.38797086477279663
Inter Cos: -0.07318887859582901
Norm Quadratic Average: 0.29278457164764404
Nearest Class Center Accuracy: 0.718

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7396286725997925
Intra Cos: 0.2943514585494995
Inter Cos: -0.014197932556271553
Norm Quadratic Average: 0.21946999430656433
Nearest Class Center Accuracy: 0.713

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7299292087554932
Intra Cos: 0.34651055932044983
Inter Cos: -0.04827563837170601
Norm Quadratic Average: 0.2160298228263855
Nearest Class Center Accuracy: 0.715

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7413328886032104
Intra Cos: 0.346774697303772
Inter Cos: -0.051232509315013885
Norm Quadratic Average: 0.21896889805793762
Nearest Class Center Accuracy: 0.714

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7474445104598999
Intra Cos: 0.3471238315105438
Inter Cos: -0.058700814843177795
Norm Quadratic Average: 0.23059049248695374
Nearest Class Center Accuracy: 0.713

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.752808153629303
Intra Cos: 0.35130348801612854
Inter Cos: -0.06508591026067734
Norm Quadratic Average: 0.24612084031105042
Nearest Class Center Accuracy: 0.714

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.772811770439148
Intra Cos: 0.36028939485549927
Inter Cos: -0.05761720985174179
Norm Quadratic Average: 0.2651176452636719
Nearest Class Center Accuracy: 0.713

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8635963797569275
Intra Cos: 0.37932974100112915
Inter Cos: -0.07212014496326447
Norm Quadratic Average: 0.3621225357055664
Nearest Class Center Accuracy: 0.713

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0660066604614258
Intra Cos: 0.4041347801685333
Inter Cos: -0.09585241228342056
Norm Quadratic Average: 0.5617268085479736
Nearest Class Center Accuracy: 0.714

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2220418453216553
Intra Cos: 0.4196891784667969
Inter Cos: -0.09040115028619766
Norm Quadratic Average: 2.7536754608154297
Nearest Class Center Accuracy: 0.714

Output Layer:
Intra Cos: 0.42454543709754944
Inter Cos: -0.09292265772819519
Norm Quadratic Average: 5.094430446624756
Nearest Class Center Accuracy: 0.716

