Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.005.pth.tar
Training Set:
Average Loss: 0.007184312485158444
Accuracy: 1.0
NC1 Within Class Collapse: 0.01861639879643917
NC2 Equinorm: Features: 0.011508548632264137, Weights: 0.020721765235066414
NC2 Equiangle: Features: 0.01207384467124939, Weights: 0.0177171528339386
NC3 Self-Duality: 0.002759076189249754
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.7494359016418457
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: 4.874863624572754
Intra Cos: 0.03672586753964424
Inter Cos: -0.008337453007698059
Norm Quadratic Average: 1.9379127025604248
Nearest Class Center Accuracy: 0.67325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.415250301361084
Intra Cos: 0.06964606791734695
Inter Cos: -0.017885614186525345
Norm Quadratic Average: 1.535510778427124
Nearest Class Center Accuracy: 0.931

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1361695528030396
Intra Cos: 0.4242316782474518
Inter Cos: -0.13017190992832184
Norm Quadratic Average: 0.9256875514984131
Nearest Class Center Accuracy: 0.9995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6052005290985107
Intra Cos: 0.8931655287742615
Inter Cos: -0.02620113454759121
Norm Quadratic Average: 0.35030028223991394
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5726045370101929
Intra Cos: 0.9857748746871948
Inter Cos: 0.13091474771499634
Norm Quadratic Average: 0.29377663135528564
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.512523353099823
Intra Cos: 0.9829427599906921
Inter Cos: -0.1041276603937149
Norm Quadratic Average: 0.18169116973876953
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5179355144500732
Intra Cos: 0.9848535060882568
Inter Cos: -0.12992915511131287
Norm Quadratic Average: 0.1625295728445053
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5156860947608948
Intra Cos: 0.9858976006507874
Inter Cos: -0.15029114484786987
Norm Quadratic Average: 0.1526125818490982
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5267318487167358
Intra Cos: 0.9864059686660767
Inter Cos: -0.15187177062034607
Norm Quadratic Average: 0.17160464823246002
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5293276906013489
Intra Cos: 0.9864726066589355
Inter Cos: -0.12510336935520172
Norm Quadratic Average: 0.19023320078849792
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5411559343338013
Intra Cos: 0.9874929785728455
Inter Cos: -0.11939390003681183
Norm Quadratic Average: 0.22400471568107605
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6092302799224854
Intra Cos: 0.9878727793693542
Inter Cos: -0.16677090525627136
Norm Quadratic Average: 0.31141167879104614
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8055572509765625
Intra Cos: 0.9855796098709106
Inter Cos: -0.22835737466812134
Norm Quadratic Average: 0.576951801776886
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.090402603149414
Intra Cos: 0.9922909140586853
Inter Cos: -0.24433784186840057
Norm Quadratic Average: 2.9727447032928467
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9962514042854309
Inter Cos: -0.21167626976966858
Norm Quadratic Average: 5.3014397621154785
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1270225524902344
Accuracy: 0.72
NC1 Within Class Collapse: 3.5109822750091553
NC2 Equinorm: Features: 0.03032042272388935, Weights: 0.020721765235066414
NC2 Equiangle: Features: 0.048682416478792824, Weights: 0.0177171528339386
NC3 Self-Duality: 0.004712467547506094
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.7494359016418457
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: 4.874863624572754
Intra Cos: 0.036880649626255035
Inter Cos: -0.005103457719087601
Norm Quadratic Average: 1.937630534172058
Nearest Class Center Accuracy: 0.648

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.415250301361084
Intra Cos: 0.04072970151901245
Inter Cos: -0.0067151631228625774
Norm Quadratic Average: 1.5135796070098877
Nearest Class Center Accuracy: 0.722

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1361695528030396
Intra Cos: 0.20769502222537994
Inter Cos: -0.02536836825311184
Norm Quadratic Average: 0.8453713655471802
Nearest Class Center Accuracy: 0.724

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6052005290985107
Intra Cos: 0.29964375495910645
Inter Cos: -0.022020969539880753
Norm Quadratic Average: 0.2962692081928253
Nearest Class Center Accuracy: 0.719

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5726045370101929
Intra Cos: 0.3426670730113983
Inter Cos: -0.002094441093504429
Norm Quadratic Average: 0.24792851507663727
Nearest Class Center Accuracy: 0.715

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.512523353099823
Intra Cos: 0.32864218950271606
Inter Cos: -0.04596365988254547
Norm Quadratic Average: 0.15777599811553955
Nearest Class Center Accuracy: 0.718

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5179355144500732
Intra Cos: 0.3269285261631012
Inter Cos: -0.058699458837509155
Norm Quadratic Average: 0.1407337635755539
Nearest Class Center Accuracy: 0.717

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5156860947608948
Intra Cos: 0.3293515741825104
Inter Cos: -0.06833508610725403
Norm Quadratic Average: 0.13206952810287476
Nearest Class Center Accuracy: 0.716

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5267318487167358
Intra Cos: 0.3309529721736908
Inter Cos: -0.08412972092628479
Norm Quadratic Average: 0.14845910668373108
Nearest Class Center Accuracy: 0.715

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5293276906013489
Intra Cos: 0.33177292346954346
Inter Cos: -0.10722634941339493
Norm Quadratic Average: 0.16456247866153717
Nearest Class Center Accuracy: 0.715

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5411559343338013
Intra Cos: 0.33341559767723083
Inter Cos: -0.11581626534461975
Norm Quadratic Average: 0.19389156997203827
Nearest Class Center Accuracy: 0.717

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6092302799224854
Intra Cos: 0.3352242112159729
Inter Cos: -0.12032013386487961
Norm Quadratic Average: 0.2695642411708832
Nearest Class Center Accuracy: 0.718

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8055572509765625
Intra Cos: 0.34374484419822693
Inter Cos: -0.09116984903812408
Norm Quadratic Average: 0.5022439360618591
Nearest Class Center Accuracy: 0.719

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.090402603149414
Intra Cos: 0.37672245502471924
Inter Cos: -0.07947701215744019
Norm Quadratic Average: 2.614741563796997
Nearest Class Center Accuracy: 0.719

Output Layer:
Intra Cos: 0.3839327096939087
Inter Cos: -0.07057018578052521
Norm Quadratic Average: 4.642626762390137
Nearest Class Center Accuracy: 0.72

