Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.0001.pth.tar
Training Set:
Average Loss: 0.00013557858858257533
Accuracy: 1.0
NC1 Within Class Collapse: 1.2423946857452393
NC2 Equinorm: Features: 0.11535541713237762, Weights: 0.02683149464428425
NC2 Equiangle: Features: 0.07124064862728119, Weights: 0.04424400130907694
NC3 Self-Duality: 0.5002736449241638
NC4 NCC Mismatch: 0.00024999999999997247

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 15.534782409667969
Intra Cos: 0.03354978933930397
Inter Cos: -0.005712226498872042
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: 20.56255340576172
Intra Cos: 0.032980941236019135
Inter Cos: -0.006765899248421192
Norm Quadratic Average: 12.040933609008789
Nearest Class Center Accuracy: 0.643

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.9469051361084
Intra Cos: 0.04889136180281639
Inter Cos: -0.011939408257603645
Norm Quadratic Average: 11.980628967285156
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 16.266569137573242
Intra Cos: 0.08340369910001755
Inter Cos: -0.021744197234511375
Norm Quadratic Average: 11.928863525390625
Nearest Class Center Accuracy: 0.83125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.671438217163086
Intra Cos: 0.15382780134677887
Inter Cos: -0.0430692620575428
Norm Quadratic Average: 11.846784591674805
Nearest Class Center Accuracy: 0.94425

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.802729606628418
Intra Cos: 0.27158960700035095
Inter Cos: -0.07936131954193115
Norm Quadratic Average: 11.796317100524902
Nearest Class Center Accuracy: 0.9945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.578583717346191
Intra Cos: 0.42207878828048706
Inter Cos: -0.13631364703178406
Norm Quadratic Average: 11.763869285583496
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.797006607055664
Intra Cos: 0.5339374542236328
Inter Cos: -0.1592252552509308
Norm Quadratic Average: 11.744772911071777
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.232725143432617
Intra Cos: 0.6391462683677673
Inter Cos: -0.14967086911201477
Norm Quadratic Average: 11.734173774719238
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.851849555969238
Intra Cos: 0.7186067700386047
Inter Cos: -0.1879960149526596
Norm Quadratic Average: 11.729190826416016
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.58842945098877
Intra Cos: 0.7657726407051086
Inter Cos: -0.17537924647331238
Norm Quadratic Average: 11.70458698272705
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.452272415161133
Intra Cos: 0.7907268404960632
Inter Cos: -0.2173934280872345
Norm Quadratic Average: 11.656346321105957
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.351799964904785
Intra Cos: 0.8034225106239319
Inter Cos: -0.20641487836837769
Norm Quadratic Average: 11.577324867248535
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.516596794128418
Intra Cos: 0.7931912541389465
Inter Cos: -0.16970044374465942
Norm Quadratic Average: 11.488667488098145
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.6378350257873535
Intra Cos: 0.7660760283470154
Inter Cos: -0.16914016008377075
Norm Quadratic Average: 9.9846830368042
Nearest Class Center Accuracy: 0.99975

Output Layer:
Intra Cos: 0.8955891132354736
Inter Cos: -0.12947317957878113
Norm Quadratic Average: 11.661643028259277
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.6258214569091798
Accuracy: 0.714
NC1 Within Class Collapse: 6.643418788909912
NC2 Equinorm: Features: 0.16166873276233673, Weights: 0.02683149464428425
NC2 Equiangle: Features: 0.11797229448954265, Weights: 0.04424400130907694
NC3 Self-Duality: 0.5131046772003174
NC4 NCC Mismatch: 0.06799999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 15.534782409667969
Intra Cos: 0.03459429368376732
Inter Cos: -0.002618458354845643
Norm Quadratic Average: 3.9999918937683105
Nearest Class Center Accuracy: 0.577

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 20.56255340576172
Intra Cos: 0.03296257182955742
Inter Cos: -0.0038849946577101946
Norm Quadratic Average: 12.0619535446167
Nearest Class Center Accuracy: 0.613

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 18.9469051361084
Intra Cos: 0.043591804802417755
Inter Cos: -0.005448539275676012
Norm Quadratic Average: 11.95403003692627
Nearest Class Center Accuracy: 0.654

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 16.266569137573242
Intra Cos: 0.058871135115623474
Inter Cos: -0.00628065038472414
Norm Quadratic Average: 11.74106502532959
Nearest Class Center Accuracy: 0.699

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 13.671438217163086
Intra Cos: 0.08961622416973114
Inter Cos: -0.01253240555524826
Norm Quadratic Average: 11.465288162231445
Nearest Class Center Accuracy: 0.724

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.802729606628418
Intra Cos: 0.13435953855514526
Inter Cos: -0.019602224230766296
Norm Quadratic Average: 11.159576416015625
Nearest Class Center Accuracy: 0.723

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.578583717346191
Intra Cos: 0.1687636822462082
Inter Cos: -0.027012262493371964
Norm Quadratic Average: 10.886353492736816
Nearest Class Center Accuracy: 0.716

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.797006607055664
Intra Cos: 0.18280015885829926
Inter Cos: -0.04477940872311592
Norm Quadratic Average: 10.612958908081055
Nearest Class Center Accuracy: 0.706

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 9.232725143432617
Intra Cos: 0.21173900365829468
Inter Cos: -0.06372234225273132
Norm Quadratic Average: 10.337742805480957
Nearest Class Center Accuracy: 0.712

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.851849555969238
Intra Cos: 0.24327370524406433
Inter Cos: -0.04505544528365135
Norm Quadratic Average: 10.283121109008789
Nearest Class Center Accuracy: 0.709

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.58842945098877
Intra Cos: 0.25773629546165466
Inter Cos: -0.054145682603120804
Norm Quadratic Average: 10.344698905944824
Nearest Class Center Accuracy: 0.712

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.452272415161133
Intra Cos: 0.2617464065551758
Inter Cos: -0.0600859634578228
Norm Quadratic Average: 10.484880447387695
Nearest Class Center Accuracy: 0.711

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.351799964904785
Intra Cos: 0.2571234405040741
Inter Cos: -0.07406403124332428
Norm Quadratic Average: 10.625065803527832
Nearest Class Center Accuracy: 0.712

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.516596794128418
Intra Cos: 0.25947651267051697
Inter Cos: -0.04238241910934448
Norm Quadratic Average: 10.757128715515137
Nearest Class Center Accuracy: 0.713

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.6378350257873535
Intra Cos: 0.24392125010490417
Inter Cos: -0.030437273904681206
Norm Quadratic Average: 9.77313232421875
Nearest Class Center Accuracy: 0.701

Output Layer:
Intra Cos: 0.3813651502132416
Inter Cos: -0.047384195029735565
Norm Quadratic Average: 10.377182960510254
Nearest Class Center Accuracy: 0.717

