Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_conic_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: 6.867249011993408
Intra Cos: 0.07988916337490082
Inter Cos: 0.0017584847519174218
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.690573215484619
Intra Cos: 0.2954029440879822
Inter Cos: 0.05355927348136902
Norm Quadratic Average: 2.0299973487854004
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0826480388641357
Intra Cos: 0.5056461691856384
Inter Cos: 0.1336393505334854
Norm Quadratic Average: 1.384540319442749
Nearest Class Center Accuracy: 0.982125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4496761560440063
Intra Cos: 0.8557536602020264
Inter Cos: 0.24847152829170227
Norm Quadratic Average: 0.9199042916297913
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2172040939331055
Intra Cos: 0.9761829376220703
Inter Cos: 0.4391574263572693
Norm Quadratic Average: 0.7212812900543213
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.115214467048645
Intra Cos: 0.9948954582214355
Inter Cos: 0.6392584443092346
Norm Quadratic Average: 0.6176442503929138
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0656216144561768
Intra Cos: 0.9968491792678833
Inter Cos: 0.7830199003219604
Norm Quadratic Average: 0.5641038417816162
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0362279415130615
Intra Cos: 0.997241735458374
Inter Cos: 0.8606351613998413
Norm Quadratic Average: 0.5399678349494934
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0240094661712646
Intra Cos: 0.9971113204956055
Inter Cos: 0.8937073349952698
Norm Quadratic Average: 0.5128796696662903
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0461481809616089
Intra Cos: 0.997227668762207
Inter Cos: 0.881942868232727
Norm Quadratic Average: 0.5278896689414978
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1239324808120728
Intra Cos: 0.9957358837127686
Inter Cos: 0.7823171019554138
Norm Quadratic Average: 0.5728397965431213
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1925489902496338
Intra Cos: 0.9936508536338806
Inter Cos: 0.7331382632255554
Norm Quadratic Average: 0.5707998871803284
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2625261545181274
Intra Cos: 0.9894527792930603
Inter Cos: 0.5802993774414062
Norm Quadratic Average: 0.6532472968101501
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4013057947158813
Intra Cos: 0.9839637875556946
Inter Cos: 0.5224324464797974
Norm Quadratic Average: 0.7318760752677917
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.508126974105835
Intra Cos: 0.9803231954574585
Inter Cos: 0.1895875334739685
Norm Quadratic Average: 0.7933555841445923
Nearest Class Center Accuracy: 1.0

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.654497504234314
Intra Cos: 0.974358320236206
Inter Cos: -0.00011298723984509706
Norm Quadratic Average: 0.8129810690879822
Nearest Class Center Accuracy: 1.0

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.879346251487732
Intra Cos: 0.9718549847602844
Inter Cos: -0.16722187399864197
Norm Quadratic Average: 0.9454978704452515
Nearest Class Center Accuracy: 1.0

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7275755405426025
Intra Cos: 0.9882284998893738
Inter Cos: -0.19899509847164154
Norm Quadratic Average: 3.2428274154663086
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9930939078330994
Inter Cos: -0.05735576152801514
Norm Quadratic Average: 6.691404342651367
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.051573757946491244
Accuracy: 0.985
NC1 Within Class Collapse: 0.11802166700363159
NC2 Equinorm: Features: 0.022284837439656258, Weights: 0.013097485527396202
NC2 Equiangle: Features: 0.14027124643325806, Weights: 0.11718506614367168
NC3 Self-Duality: 0.12052512168884277
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.867249011993408
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129011280834675
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.690573215484619
Intra Cos: 0.2993907332420349
Inter Cos: 0.045752543956041336
Norm Quadratic Average: 2.046043634414673
Nearest Class Center Accuracy: 0.853

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0826480388641357
Intra Cos: 0.4955056607723236
Inter Cos: 0.13420985639095306
Norm Quadratic Average: 1.3732020854949951
Nearest Class Center Accuracy: 0.971

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4496761560440063
Intra Cos: 0.8254870772361755
Inter Cos: 0.2523391544818878
Norm Quadratic Average: 0.9118022918701172
Nearest Class Center Accuracy: 0.984

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2172040939331055
Intra Cos: 0.9438725113868713
Inter Cos: 0.42396435141563416
Norm Quadratic Average: 0.7160379886627197
Nearest Class Center Accuracy: 0.9855

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.115214467048645
Intra Cos: 0.9609412550926208
Inter Cos: 0.6181697249412537
Norm Quadratic Average: 0.6133807897567749
Nearest Class Center Accuracy: 0.985

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0656216144561768
Intra Cos: 0.9589956402778625
Inter Cos: 0.7556732296943665
Norm Quadratic Average: 0.5616891384124756
Nearest Class Center Accuracy: 0.983

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0362279415130615
Intra Cos: 0.9596443176269531
Inter Cos: 0.8316993117332458
Norm Quadratic Average: 0.5381622910499573
Nearest Class Center Accuracy: 0.9815

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0240094661712646
Intra Cos: 0.9580125212669373
Inter Cos: 0.8632014393806458
Norm Quadratic Average: 0.5116497278213501
Nearest Class Center Accuracy: 0.98

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0461481809616089
Intra Cos: 0.958428144454956
Inter Cos: 0.852051854133606
Norm Quadratic Average: 0.5266650319099426
Nearest Class Center Accuracy: 0.9815

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1239324808120728
Intra Cos: 0.9600460529327393
Inter Cos: 0.755341649055481
Norm Quadratic Average: 0.571155309677124
Nearest Class Center Accuracy: 0.985

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1925489902496338
Intra Cos: 0.957791805267334
Inter Cos: 0.7085629105567932
Norm Quadratic Average: 0.5700756311416626
Nearest Class Center Accuracy: 0.9855

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2625261545181274
Intra Cos: 0.953805148601532
Inter Cos: 0.5623251795768738
Norm Quadratic Average: 0.6528157591819763
Nearest Class Center Accuracy: 0.987

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4013057947158813
Intra Cos: 0.9455345869064331
Inter Cos: 0.5096789598464966
Norm Quadratic Average: 0.7321711778640747
Nearest Class Center Accuracy: 0.9865

Layer 14: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.508126974105835
Intra Cos: 0.9420636296272278
Inter Cos: 0.19046242535114288
Norm Quadratic Average: 0.7918142080307007
Nearest Class Center Accuracy: 0.986

Layer 15: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.654497504234314
Intra Cos: 0.9368904829025269
Inter Cos: 0.011324618943035603
Norm Quadratic Average: 0.8092448711395264
Nearest Class Center Accuracy: 0.984

Layer 16: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.879346251487732
Intra Cos: 0.9345950484275818
Inter Cos: -0.1491837501525879
Norm Quadratic Average: 0.9416379332542419
Nearest Class Center Accuracy: 0.9875

Layer 17: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.7275755405426025
Intra Cos: 0.942703902721405
Inter Cos: -0.1729525476694107
Norm Quadratic Average: 3.218937397003174
Nearest Class Center Accuracy: 0.985

Output Layer:
Intra Cos: 0.9553650617599487
Inter Cos: -0.03914237767457962
Norm Quadratic Average: 6.641027450561523
Nearest Class Center Accuracy: 0.9845

