Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.0005.pth.tar
Training Set:
Average Loss: 0.0005349690336734057
Accuracy: 1.0
NC1 Within Class Collapse: 0.07103747129440308
NC2 Equinorm: Features: 0.07111988961696625, Weights: 0.020059354603290558
NC2 Equiangle: Features: 0.04377793272336324, Weights: 0.023265133301417034
NC3 Self-Duality: 0.32545897364616394
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 11.781216621398926
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: 14.997352600097656
Intra Cos: 0.03539084643125534
Inter Cos: -0.007108193356543779
Norm Quadratic Average: 6.506570339202881
Nearest Class Center Accuracy: 0.641

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.330805778503418
Intra Cos: 0.050917092710733414
Inter Cos: -0.012422998435795307
Norm Quadratic Average: 6.318790912628174
Nearest Class Center Accuracy: 0.75225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.527371406555176
Intra Cos: 0.10150373727083206
Inter Cos: -0.024016965180635452
Norm Quadratic Average: 6.111432075500488
Nearest Class Center Accuracy: 0.906

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170028686523438
Intra Cos: 0.20040959119796753
Inter Cos: -0.04322071000933647
Norm Quadratic Average: 5.998891353607178
Nearest Class Center Accuracy: 0.98125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.637360572814941
Intra Cos: 0.3532690703868866
Inter Cos: -0.08492706716060638
Norm Quadratic Average: 5.926265239715576
Nearest Class Center Accuracy: 0.99925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.745156764984131
Intra Cos: 0.5381491184234619
Inter Cos: -0.11517273634672165
Norm Quadratic Average: 5.8984761238098145
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.239646911621094
Intra Cos: 0.6361265182495117
Inter Cos: -0.17955560982227325
Norm Quadratic Average: 5.878780841827393
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.901223182678223
Intra Cos: 0.7285908460617065
Inter Cos: -0.21383483707904816
Norm Quadratic Average: 5.8640851974487305
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.691967010498047
Intra Cos: 0.8182117938995361
Inter Cos: -0.2152707576751709
Norm Quadratic Average: 5.858936309814453
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.56080961227417
Intra Cos: 0.8809902667999268
Inter Cos: -0.23384970426559448
Norm Quadratic Average: 5.8446784019470215
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.5212788581848145
Intra Cos: 0.9066419005393982
Inter Cos: -0.24178346991539001
Norm Quadratic Average: 5.834312438964844
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.547285556793213
Intra Cos: 0.9250532388687134
Inter Cos: -0.2520238161087036
Norm Quadratic Average: 5.819230556488037
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.717869281768799
Intra Cos: 0.9098478555679321
Inter Cos: -0.26154613494873047
Norm Quadratic Average: 5.822659492492676
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.221773624420166
Intra Cos: 0.9129170179367065
Inter Cos: -0.19757412374019623
Norm Quadratic Average: 5.3685197830200195
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9800118207931519
Inter Cos: -0.22415083646774292
Norm Quadratic Average: 7.9179277420043945
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.5612378387451171
Accuracy: 0.716
NC1 Within Class Collapse: 3.6597883701324463
NC2 Equinorm: Features: 0.10182257741689682, Weights: 0.020059354603290558
NC2 Equiangle: Features: 0.06210994223753611, Weights: 0.023265133301417034
NC3 Self-Duality: 0.2683304250240326
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 11.781216621398926
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: 14.997352600097656
Intra Cos: 0.03655807301402092
Inter Cos: -0.001896456116810441
Norm Quadratic Average: 6.501631736755371
Nearest Class Center Accuracy: 0.622

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.330805778503418
Intra Cos: 0.040959667414426804
Inter Cos: -0.005325622856616974
Norm Quadratic Average: 6.301084041595459
Nearest Class Center Accuracy: 0.667

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.527371406555176
Intra Cos: 0.06547420471906662
Inter Cos: -0.0063223387114703655
Norm Quadratic Average: 6.001733303070068
Nearest Class Center Accuracy: 0.706

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170028686523438
Intra Cos: 0.1065177470445633
Inter Cos: -0.0032968097366392612
Norm Quadratic Average: 5.732862949371338
Nearest Class Center Accuracy: 0.725

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.637360572814941
Intra Cos: 0.16292652487754822
Inter Cos: -0.009516854770481586
Norm Quadratic Average: 5.511640548706055
Nearest Class Center Accuracy: 0.719

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.745156764984131
Intra Cos: 0.2325618714094162
Inter Cos: -0.009941245429217815
Norm Quadratic Average: 5.3142991065979
Nearest Class Center Accuracy: 0.716

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.239646911621094
Intra Cos: 0.2627081573009491
Inter Cos: -0.027017416432499886
Norm Quadratic Average: 5.155120372772217
Nearest Class Center Accuracy: 0.717

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.901223182678223
Intra Cos: 0.2855255603790283
Inter Cos: -0.04342157393693924
Norm Quadratic Average: 5.1197686195373535
Nearest Class Center Accuracy: 0.715

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.691967010498047
Intra Cos: 0.31455275416374207
Inter Cos: -0.04270743206143379
Norm Quadratic Average: 5.140900135040283
Nearest Class Center Accuracy: 0.716

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.56080961227417
Intra Cos: 0.3116990923881531
Inter Cos: -0.04974688962101936
Norm Quadratic Average: 5.171567440032959
Nearest Class Center Accuracy: 0.714

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.5212788581848145
Intra Cos: 0.3264118432998657
Inter Cos: -0.06485892087221146
Norm Quadratic Average: 5.228022575378418
Nearest Class Center Accuracy: 0.713

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.547285556793213
Intra Cos: 0.32944896817207336
Inter Cos: -0.055724870413541794
Norm Quadratic Average: 5.2603654861450195
Nearest Class Center Accuracy: 0.715

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.717869281768799
Intra Cos: 0.33214497566223145
Inter Cos: -0.06028430908918381
Norm Quadratic Average: 5.36625862121582
Nearest Class Center Accuracy: 0.719

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.221773624420166
Intra Cos: 0.33494189381599426
Inter Cos: -0.06321350485086441
Norm Quadratic Average: 5.059243679046631
Nearest Class Center Accuracy: 0.715

Output Layer:
Intra Cos: 0.3748229444026947
Inter Cos: -0.09133113920688629
Norm Quadratic Average: 7.081974029541016
Nearest Class Center Accuracy: 0.716

