Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.050728797912598
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064674377441406
Linear Weight Rank: 179
Intra Cos: 0.012765619903802872
Inter Cos: 0.005192987620830536
Norm Quadratic Average: 4.788002967834473
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.083857536315918
Linear Weight Rank: 179
Intra Cos: 0.009396764449775219
Inter Cos: 0.002467266982421279
Norm Quadratic Average: 1.668460726737976
Nearest Class Center Accuracy: 0.441875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.025776863098145
Linear Weight Rank: 179
Intra Cos: 0.009342054836452007
Inter Cos: 0.000596735393628478
Norm Quadratic Average: 0.6076327562332153
Nearest Class Center Accuracy: 0.42375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035077095031738
Linear Weight Rank: 180
Intra Cos: 0.009662910364568233
Inter Cos: 0.002084190957248211
Norm Quadratic Average: 0.23120927810668945
Nearest Class Center Accuracy: 0.416625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05640983581543
Linear Weight Rank: 179
Intra Cos: 0.010483396239578724
Inter Cos: 0.004389370791614056
Norm Quadratic Average: 0.09193909913301468
Nearest Class Center Accuracy: 0.402125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035600662231445
Linear Weight Rank: 180
Intra Cos: 0.010717765428125858
Inter Cos: 0.005473541095852852
Norm Quadratic Average: 0.033223964273929596
Nearest Class Center Accuracy: 0.397

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03026008605957
Linear Weight Rank: 179
Intra Cos: 0.010250010527670383
Inter Cos: 0.0040766391903162
Norm Quadratic Average: 0.013809171505272388
Nearest Class Center Accuracy: 0.385875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.181767463684082
Linear Weight Rank: 4
Intra Cos: 0.010369927622377872
Inter Cos: 0.00768215861171484
Norm Quadratic Average: 0.00568372430279851
Nearest Class Center Accuracy: 0.382625

Output Layer:
Intra Cos: 0.014376386068761349
Inter Cos: 0.03290901705622673
Norm Quadratic Average: 0.0005763380322605371
Nearest Class Center Accuracy: 0.369125

Test Set:
Average Loss: 1.3836323356628417
Accuracy: 0.2695
NC1 Within Class Collapse: 86.30963897705078
NC2 Equinorm: Features: 0.21986934542655945, Weights: 0.021374456584453583
NC2 Equiangle: Features: 0.33419299125671387, Weights: 0.34501997629801434
NC3 Self-Duality: 1.6536439657211304
NC4 NCC Mismatch: 0.7224999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.050728797912598
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064674377441406
Linear Weight Rank: 179
Intra Cos: 0.014101080596446991
Inter Cos: 0.005463242065161467
Norm Quadratic Average: 4.7734694480896
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.083857536315918
Linear Weight Rank: 179
Intra Cos: 0.00990515761077404
Inter Cos: 0.0028051722329109907
Norm Quadratic Average: 1.668363094329834
Nearest Class Center Accuracy: 0.4445

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.025776863098145
Linear Weight Rank: 179
Intra Cos: 0.008748169057071209
Inter Cos: 0.0027323670219630003
Norm Quadratic Average: 0.6079996228218079
Nearest Class Center Accuracy: 0.4205

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035077095031738
Linear Weight Rank: 180
Intra Cos: 0.008513468317687511
Inter Cos: 0.004390738904476166
Norm Quadratic Average: 0.23129042983055115
Nearest Class Center Accuracy: 0.403

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05640983581543
Linear Weight Rank: 179
Intra Cos: 0.01004740595817566
Inter Cos: 0.0037764590233564377
Norm Quadratic Average: 0.09191814064979553
Nearest Class Center Accuracy: 0.4095

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.035600662231445
Linear Weight Rank: 180
Intra Cos: 0.009450403973460197
Inter Cos: 0.004856024868786335
Norm Quadratic Average: 0.03324725851416588
Nearest Class Center Accuracy: 0.4015

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03026008605957
Linear Weight Rank: 179
Intra Cos: 0.009453619830310345
Inter Cos: 0.004642374347895384
Norm Quadratic Average: 0.013834059238433838
Nearest Class Center Accuracy: 0.382

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.181767463684082
Linear Weight Rank: 4
Intra Cos: 0.009882506914436817
Inter Cos: 0.005787633825093508
Norm Quadratic Average: 0.0056942119263112545
Nearest Class Center Accuracy: 0.379

Output Layer:
Intra Cos: 0.007791106589138508
Inter Cos: 0.025631219148635864
Norm Quadratic Average: 0.0005844628321938217
Nearest Class Center Accuracy: 0.3705

