Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.916885852813721
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840270519256592
Linear Weight Rank: 179
Intra Cos: 0.028651373460888863
Inter Cos: -0.003978773020207882
Norm Quadratic Average: 3.4691104888916016
Nearest Class Center Accuracy: 0.57775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826841831207275
Linear Weight Rank: 179
Intra Cos: 0.026300393044948578
Inter Cos: -0.0038055055774748325
Norm Quadratic Average: 0.9400699734687805
Nearest Class Center Accuracy: 0.536625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844871997833252
Linear Weight Rank: 180
Intra Cos: 0.02294834703207016
Inter Cos: -0.002699858509004116
Norm Quadratic Average: 0.25475171208381653
Nearest Class Center Accuracy: 0.538375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824615478515625
Linear Weight Rank: 180
Intra Cos: 0.023060409352183342
Inter Cos: -0.0007479395135305822
Norm Quadratic Average: 0.07026679813861847
Nearest Class Center Accuracy: 0.51575

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840202808380127
Linear Weight Rank: 180
Intra Cos: 0.02226143330335617
Inter Cos: 0.0004918978665955365
Norm Quadratic Average: 0.020803246647119522
Nearest Class Center Accuracy: 0.50275

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.82539176940918
Linear Weight Rank: 180
Intra Cos: 0.021573150530457497
Inter Cos: 0.004997124429792166
Norm Quadratic Average: 0.005896561313420534
Nearest Class Center Accuracy: 0.490375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824727535247803
Linear Weight Rank: 180
Intra Cos: 0.020786171779036522
Inter Cos: 0.006812317296862602
Norm Quadratic Average: 0.0016171674942597747
Nearest Class Center Accuracy: 0.46825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8336606025695801
Linear Weight Rank: 4
Intra Cos: 0.02081490308046341
Inter Cos: 0.009126516059041023
Norm Quadratic Average: 0.00048321837675757706
Nearest Class Center Accuracy: 0.463625

Output Layer:
Intra Cos: 0.0058301351964473724
Inter Cos: 0.006459183990955353
Norm Quadratic Average: 2.580137334007304e-05
Nearest Class Center Accuracy: 0.388125

Test Set:
Average Loss: 1.3866384925842286
Accuracy: 0.255
NC1 Within Class Collapse: 24.533519744873047
NC2 Equinorm: Features: 0.10201907157897949, Weights: 0.0572463683784008
NC2 Equiangle: Features: 0.36031023661295575, Weights: 0.31815298398335773
NC3 Self-Duality: 1.8515558242797852
NC4 NCC Mismatch: 0.78

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.916885852813721
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840270519256592
Linear Weight Rank: 179
Intra Cos: 0.02595033124089241
Inter Cos: -0.0036945617757737637
Norm Quadratic Average: 3.4741077423095703
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826841831207275
Linear Weight Rank: 179
Intra Cos: 0.024008914828300476
Inter Cos: -0.003389246528968215
Norm Quadratic Average: 0.9407496452331543
Nearest Class Center Accuracy: 0.5475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844871997833252
Linear Weight Rank: 180
Intra Cos: 0.020173609256744385
Inter Cos: -0.0014579680282622576
Norm Quadratic Average: 0.2550991475582123
Nearest Class Center Accuracy: 0.5545

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824615478515625
Linear Weight Rank: 180
Intra Cos: 0.020478222519159317
Inter Cos: -0.0001685279858065769
Norm Quadratic Average: 0.0701771005988121
Nearest Class Center Accuracy: 0.5165

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840202808380127
Linear Weight Rank: 180
Intra Cos: 0.01956416852772236
Inter Cos: 0.0017273453995585442
Norm Quadratic Average: 0.02082868665456772
Nearest Class Center Accuracy: 0.497

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.82539176940918
Linear Weight Rank: 180
Intra Cos: 0.018807195127010345
Inter Cos: 0.00576041080057621
Norm Quadratic Average: 0.005917250644415617
Nearest Class Center Accuracy: 0.4805

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.824727535247803
Linear Weight Rank: 180
Intra Cos: 0.01707061193883419
Inter Cos: 0.006892077159136534
Norm Quadratic Average: 0.0016247319290414453
Nearest Class Center Accuracy: 0.463

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8336606025695801
Linear Weight Rank: 4
Intra Cos: 0.019058598205447197
Inter Cos: 0.00974587257951498
Norm Quadratic Average: 0.0004851069825235754
Nearest Class Center Accuracy: 0.448

Output Layer:
Intra Cos: 0.0033353802282363176
Inter Cos: 0.00560140423476696
Norm Quadratic Average: 2.53717735176906e-05
Nearest Class Center Accuracy: 0.3655

