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_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.106379508972168
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02063274383545
Linear Weight Rank: 180
Intra Cos: 0.06007649376988411
Inter Cos: 0.00736918905749917
Norm Quadratic Average: 4.842227458953857
Nearest Class Center Accuracy: 0.831125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012899398803711
Linear Weight Rank: 180
Intra Cos: 0.04706165939569473
Inter Cos: 0.011291150003671646
Norm Quadratic Average: 1.733920693397522
Nearest Class Center Accuracy: 0.7345

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06567668914795
Linear Weight Rank: 179
Intra Cos: 0.038933299481868744
Inter Cos: 0.009562551975250244
Norm Quadratic Average: 0.6352654695510864
Nearest Class Center Accuracy: 0.6435

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028456687927246
Linear Weight Rank: 180
Intra Cos: 0.03316924348473549
Inter Cos: 0.007428214885294437
Norm Quadratic Average: 0.23631159961223602
Nearest Class Center Accuracy: 0.5945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034157752990723
Linear Weight Rank: 180
Intra Cos: 0.03961306810379028
Inter Cos: 0.011016645468771458
Norm Quadratic Average: 0.09397009760141373
Nearest Class Center Accuracy: 0.597125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.065665245056152
Linear Weight Rank: 180
Intra Cos: 0.03901056945323944
Inter Cos: 0.009112847968935966
Norm Quadratic Average: 0.037964388728141785
Nearest Class Center Accuracy: 0.58

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04501724243164
Linear Weight Rank: 179
Intra Cos: 0.03413599729537964
Inter Cos: 0.012655527330935001
Norm Quadratic Average: 0.01580071821808815
Nearest Class Center Accuracy: 0.55

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067704200744629
Linear Weight Rank: 179
Intra Cos: 0.02299323119223118
Inter Cos: 0.0124350655823946
Norm Quadratic Average: 0.006380890030413866
Nearest Class Center Accuracy: 0.517625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.015799522399902
Linear Weight Rank: 180
Intra Cos: 0.02333618327975273
Inter Cos: 0.011699949391186237
Norm Quadratic Average: 0.0025215863715857267
Nearest Class Center Accuracy: 0.494625

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058979988098145
Linear Weight Rank: 180
Intra Cos: 0.02583489380776882
Inter Cos: 0.013708711601793766
Norm Quadratic Average: 0.0010220216354355216
Nearest Class Center Accuracy: 0.48425

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1367075443267822
Linear Weight Rank: 4
Intra Cos: 0.029041029512882233
Inter Cos: 0.017686989158391953
Norm Quadratic Average: 0.0004132278263568878
Nearest Class Center Accuracy: 0.456625

Output Layer:
Intra Cos: 0.026177629828453064
Inter Cos: 0.038867853581905365
Norm Quadratic Average: 3.453570025158115e-05
Nearest Class Center Accuracy: 0.368875

Test Set:
Average Loss: 1.3874975090026855
Accuracy: 0.257
NC1 Within Class Collapse: 85.94084930419922
NC2 Equinorm: Features: 0.1584027111530304, Weights: 0.022687900811433792
NC2 Equiangle: Features: 0.4159100850423177, Weights: 0.34244855244954425
NC3 Self-Duality: 1.879948377609253
NC4 NCC Mismatch: 0.7384999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.106379508972168
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02063274383545
Linear Weight Rank: 180
Intra Cos: 0.05805222690105438
Inter Cos: 0.0072087133303284645
Norm Quadratic Average: 4.829866409301758
Nearest Class Center Accuracy: 0.84

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012899398803711
Linear Weight Rank: 180
Intra Cos: 0.04477202892303467
Inter Cos: 0.009185085073113441
Norm Quadratic Average: 1.7259465456008911
Nearest Class Center Accuracy: 0.742

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06567668914795
Linear Weight Rank: 179
Intra Cos: 0.0375187061727047
Inter Cos: 0.004054190590977669
Norm Quadratic Average: 0.6322036981582642
Nearest Class Center Accuracy: 0.654

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028456687927246
Linear Weight Rank: 180
Intra Cos: 0.030506689101457596
Inter Cos: 0.005589778535068035
Norm Quadratic Average: 0.235475093126297
Nearest Class Center Accuracy: 0.6075

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034157752990723
Linear Weight Rank: 180
Intra Cos: 0.03592319414019585
Inter Cos: 0.006302681751549244
Norm Quadratic Average: 0.09345342218875885
Nearest Class Center Accuracy: 0.613

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.065665245056152
Linear Weight Rank: 180
Intra Cos: 0.03360181301832199
Inter Cos: 0.007458117790520191
Norm Quadratic Average: 0.037849657237529755
Nearest Class Center Accuracy: 0.585

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04501724243164
Linear Weight Rank: 179
Intra Cos: 0.031112167984247208
Inter Cos: 0.006024960894137621
Norm Quadratic Average: 0.01576889678835869
Nearest Class Center Accuracy: 0.5505

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067704200744629
Linear Weight Rank: 179
Intra Cos: 0.020194100216031075
Inter Cos: 0.005926820449531078
Norm Quadratic Average: 0.006364679429680109
Nearest Class Center Accuracy: 0.507

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.015799522399902
Linear Weight Rank: 180
Intra Cos: 0.022780869156122208
Inter Cos: 0.004721368663012981
Norm Quadratic Average: 0.002517679240554571
Nearest Class Center Accuracy: 0.4925

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058979988098145
Linear Weight Rank: 180
Intra Cos: 0.023875869810581207
Inter Cos: 0.00663026561960578
Norm Quadratic Average: 0.0010215825168415904
Nearest Class Center Accuracy: 0.487

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1367075443267822
Linear Weight Rank: 4
Intra Cos: 0.025783665478229523
Inter Cos: 0.015876194462180138
Norm Quadratic Average: 0.0004143199184909463
Nearest Class Center Accuracy: 0.47

Output Layer:
Intra Cos: 0.014275833033025265
Inter Cos: 0.028716467320919037
Norm Quadratic Average: 3.399625711608678e-05
Nearest Class Center Accuracy: 0.35

