Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.0003.pth.tar
Training Set:
Average Loss: 0.00025773893320001664
Accuracy: 1.0
NC1 Within Class Collapse: 0.26474273204803467
NC2 Equinorm: Features: 0.09177514910697937, Weights: 0.04111284017562866
NC2 Equiangle: Features: 0.054713740944862366, Weights: 0.034917558232943215
NC3 Self-Duality: 0.4051489531993866
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 13.301382064819336
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: 17.33798599243164
Intra Cos: 0.033219192177057266
Inter Cos: -0.00588074279949069
Norm Quadratic Average: 8.68358039855957
Nearest Class Center Accuracy: 0.64075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.826019287109375
Intra Cos: 0.04931977018713951
Inter Cos: -0.0076308646239340305
Norm Quadratic Average: 8.584444999694824
Nearest Class Center Accuracy: 0.73275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.125216484069824
Intra Cos: 0.08056401461362839
Inter Cos: -0.02252645418047905
Norm Quadratic Average: 8.467954635620117
Nearest Class Center Accuracy: 0.871

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.718496322631836
Intra Cos: 0.15433010458946228
Inter Cos: -0.047411445528268814
Norm Quadratic Average: 8.419326782226562
Nearest Class Center Accuracy: 0.96525

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.015819549560547
Intra Cos: 0.32702064514160156
Inter Cos: -0.08627815544605255
Norm Quadratic Average: 8.37489128112793
Nearest Class Center Accuracy: 0.9935

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.840701580047607
Intra Cos: 0.4379946291446686
Inter Cos: -0.11212734133005142
Norm Quadratic Average: 8.32712459564209
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1360931396484375
Intra Cos: 0.5602037310600281
Inter Cos: -0.16827774047851562
Norm Quadratic Average: 8.290253639221191
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.71143102645874
Intra Cos: 0.6450903415679932
Inter Cos: -0.20877255499362946
Norm Quadratic Average: 8.268680572509766
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.404733180999756
Intra Cos: 0.7346381545066833
Inter Cos: -0.2355775684118271
Norm Quadratic Average: 8.258540153503418
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.233161926269531
Intra Cos: 0.7964342832565308
Inter Cos: -0.20773153007030487
Norm Quadratic Average: 8.248034477233887
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.110306262969971
Intra Cos: 0.8241348266601562
Inter Cos: -0.21889522671699524
Norm Quadratic Average: 8.211559295654297
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.128536701202393
Intra Cos: 0.8325295448303223
Inter Cos: -0.2688165307044983
Norm Quadratic Average: 8.169504165649414
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.311295509338379
Intra Cos: 0.8133213520050049
Inter Cos: -0.29172030091285706
Norm Quadratic Average: 8.094725608825684
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.3235087394714355
Intra Cos: 0.7801852226257324
Inter Cos: -0.20296511054039001
Norm Quadratic Average: 7.102447509765625
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9651059508323669
Inter Cos: -0.22707568109035492
Norm Quadratic Average: 9.082621574401855
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.5194413757324219
Accuracy: 0.708
NC1 Within Class Collapse: 3.4531302452087402
NC2 Equinorm: Features: 0.0685790479183197, Weights: 0.04111284017562866
NC2 Equiangle: Features: 0.0811851571003596, Weights: 0.034917558232943215
NC3 Self-Duality: 0.30501261353492737
NC4 NCC Mismatch: 0.02400000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 13.301382064819336
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: 17.33798599243164
Intra Cos: 0.033477794378995895
Inter Cos: -0.003111662808805704
Norm Quadratic Average: 8.713647842407227
Nearest Class Center Accuracy: 0.621

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 15.826019287109375
Intra Cos: 0.04301319271326065
Inter Cos: 4.400995749165304e-05
Norm Quadratic Average: 8.634133338928223
Nearest Class Center Accuracy: 0.652

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.125216484069824
Intra Cos: 0.05592852830886841
Inter Cos: -0.006593001075088978
Norm Quadratic Average: 8.486069679260254
Nearest Class Center Accuracy: 0.699

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.718496322631836
Intra Cos: 0.08320824801921844
Inter Cos: -0.011301808059215546
Norm Quadratic Average: 8.237847328186035
Nearest Class Center Accuracy: 0.709

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.015819549560547
Intra Cos: 0.1344410926103592
Inter Cos: -0.006780520081520081
Norm Quadratic Average: 7.900806903839111
Nearest Class Center Accuracy: 0.717

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.840701580047607
Intra Cos: 0.19209197163581848
Inter Cos: -0.0223136804997921
Norm Quadratic Average: 7.470865726470947
Nearest Class Center Accuracy: 0.709

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1360931396484375
Intra Cos: 0.23082636296749115
Inter Cos: -0.03745010867714882
Norm Quadratic Average: 7.0616583824157715
Nearest Class Center Accuracy: 0.709

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.71143102645874
Intra Cos: 0.2545725107192993
Inter Cos: -0.04630620405077934
Norm Quadratic Average: 6.862888813018799
Nearest Class Center Accuracy: 0.708

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.404733180999756
Intra Cos: 0.27869048714637756
Inter Cos: -0.054675616323947906
Norm Quadratic Average: 6.858222961425781
Nearest Class Center Accuracy: 0.708

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.233161926269531
Intra Cos: 0.29163140058517456
Inter Cos: -0.08255331218242645
Norm Quadratic Average: 6.929501056671143
Nearest Class Center Accuracy: 0.708

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.110306262969971
Intra Cos: 0.30618929862976074
Inter Cos: -0.08048880100250244
Norm Quadratic Average: 6.931756496429443
Nearest Class Center Accuracy: 0.706

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.128536701202393
Intra Cos: 0.33035239577293396
Inter Cos: -0.08687755465507507
Norm Quadratic Average: 6.998027801513672
Nearest Class Center Accuracy: 0.71

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.311295509338379
Intra Cos: 0.3346954584121704
Inter Cos: -0.07497835159301758
Norm Quadratic Average: 6.872480392456055
Nearest Class Center Accuracy: 0.712

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.3235087394714355
Intra Cos: 0.30637919902801514
Inter Cos: -0.05382338911294937
Norm Quadratic Average: 5.739408493041992
Nearest Class Center Accuracy: 0.709

Output Layer:
Intra Cos: 0.4060581922531128
Inter Cos: -0.06353303790092468
Norm Quadratic Average: 7.938780307769775
Nearest Class Center Accuracy: 0.707

