Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_314159_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8784637451171875
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892062664031982
Linear Weight Rank: 179
Intra Cos: 0.06346535682678223
Inter Cos: 0.007470267359167337
Norm Quadratic Average: 4.69412899017334
Nearest Class Center Accuracy: 0.822125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9108476638793945
Linear Weight Rank: 179
Intra Cos: 0.04702608659863472
Inter Cos: 0.004554299172013998
Norm Quadratic Average: 1.598019003868103
Nearest Class Center Accuracy: 0.742375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.854119300842285
Linear Weight Rank: 179
Intra Cos: 0.03620144724845886
Inter Cos: 0.0025359250139445066
Norm Quadratic Average: 0.5669659972190857
Nearest Class Center Accuracy: 0.64675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863175392150879
Linear Weight Rank: 180
Intra Cos: 0.03253665193915367
Inter Cos: 0.006544497329741716
Norm Quadratic Average: 0.21036912500858307
Nearest Class Center Accuracy: 0.5995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884101390838623
Linear Weight Rank: 179
Intra Cos: 0.025294972583651543
Inter Cos: 0.0083705959841609
Norm Quadratic Average: 0.08076539635658264
Nearest Class Center Accuracy: 0.54875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863741397857666
Linear Weight Rank: 180
Intra Cos: 0.024865256622433662
Inter Cos: 0.00653517059981823
Norm Quadratic Average: 0.028428319841623306
Nearest Class Center Accuracy: 0.53575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.858321666717529
Linear Weight Rank: 179
Intra Cos: 0.021856628358364105
Inter Cos: 0.006732262670993805
Norm Quadratic Average: 0.011499796062707901
Nearest Class Center Accuracy: 0.502625

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8748650550842285
Linear Weight Rank: 179
Intra Cos: 0.027718281373381615
Inter Cos: 0.01174093782901764
Norm Quadratic Average: 0.00461350055411458
Nearest Class Center Accuracy: 0.491125

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88045597076416
Linear Weight Rank: 180
Intra Cos: 0.0283025074750185
Inter Cos: 0.008884034119546413
Norm Quadratic Average: 0.0016938630724325776
Nearest Class Center Accuracy: 0.481125

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842700958251953
Linear Weight Rank: 180
Intra Cos: 0.02361125871539116
Inter Cos: 0.006024911999702454
Norm Quadratic Average: 0.0006610352429561317
Nearest Class Center Accuracy: 0.453375

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1092402935028076
Linear Weight Rank: 4
Intra Cos: 0.02173224836587906
Inter Cos: 0.004088824614882469
Norm Quadratic Average: 0.00024349494196940213
Nearest Class Center Accuracy: 0.456625

Output Layer:
Intra Cos: 0.00584808737039566
Inter Cos: 0.008107411675155163
Norm Quadratic Average: 1.706059447315056e-05
Nearest Class Center Accuracy: 0.327125

Test Set:
Average Loss: 1.3874993324279785
Accuracy: 0.257
NC1 Within Class Collapse: 78.373779296875
NC2 Equinorm: Features: 0.09607294946908951, Weights: 0.022134235128760338
NC2 Equiangle: Features: 0.3810633023579915, Weights: 0.285611093044281
NC3 Self-Duality: 2.0007684230804443
NC4 NCC Mismatch: 0.7165

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8784637451171875
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892062664031982
Linear Weight Rank: 179
Intra Cos: 0.06325923651456833
Inter Cos: 0.009233237244188786
Norm Quadratic Average: 4.687766075134277
Nearest Class Center Accuracy: 0.8235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9108476638793945
Linear Weight Rank: 179
Intra Cos: 0.04611888900399208
Inter Cos: 0.005898462142795324
Norm Quadratic Average: 1.598153829574585
Nearest Class Center Accuracy: 0.752

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.854119300842285
Linear Weight Rank: 179
Intra Cos: 0.03943503275513649
Inter Cos: 0.0027484213933348656
Norm Quadratic Average: 0.5663285851478577
Nearest Class Center Accuracy: 0.657

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863175392150879
Linear Weight Rank: 180
Intra Cos: 0.03555862978100777
Inter Cos: 0.007687775883823633
Norm Quadratic Average: 0.21073493361473083
Nearest Class Center Accuracy: 0.62

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884101390838623
Linear Weight Rank: 179
Intra Cos: 0.031619567424058914
Inter Cos: 0.011504562571644783
Norm Quadratic Average: 0.08082887530326843
Nearest Class Center Accuracy: 0.555

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863741397857666
Linear Weight Rank: 180
Intra Cos: 0.028132658451795578
Inter Cos: 0.008922151289880276
Norm Quadratic Average: 0.028502745553851128
Nearest Class Center Accuracy: 0.5405

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.858321666717529
Linear Weight Rank: 179
Intra Cos: 0.02628987655043602
Inter Cos: 0.006559507921338081
Norm Quadratic Average: 0.011531473137438297
Nearest Class Center Accuracy: 0.518

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8748650550842285
Linear Weight Rank: 179
Intra Cos: 0.02750600501894951
Inter Cos: 0.009542763233184814
Norm Quadratic Average: 0.00462732370942831
Nearest Class Center Accuracy: 0.5085

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88045597076416
Linear Weight Rank: 180
Intra Cos: 0.02884654700756073
Inter Cos: 0.0067145065404474735
Norm Quadratic Average: 0.0016991852317005396
Nearest Class Center Accuracy: 0.507

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842700958251953
Linear Weight Rank: 180
Intra Cos: 0.02277049794793129
Inter Cos: 0.008410432375967503
Norm Quadratic Average: 0.0006634137243963778
Nearest Class Center Accuracy: 0.471

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1092402935028076
Linear Weight Rank: 4
Intra Cos: 0.021740615367889404
Inter Cos: 0.008044131100177765
Norm Quadratic Average: 0.0002445977588649839
Nearest Class Center Accuracy: 0.4685

Output Layer:
Intra Cos: 0.011762948706746101
Inter Cos: 0.015605684369802475
Norm Quadratic Average: 1.69636605278356e-05
Nearest Class Center Accuracy: 0.3445

