Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.190367698669434
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222444586455822
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104043006896973
Linear Weight Rank: 180
Intra Cos: 0.023468896746635437
Inter Cos: -0.004875891841948032
Norm Quadratic Average: 4.891592502593994
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096271514892578
Linear Weight Rank: 180
Intra Cos: 0.022202612832188606
Inter Cos: -0.0030407398007810116
Norm Quadratic Average: 1.7750858068466187
Nearest Class Center Accuracy: 0.531125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.149612426757812
Linear Weight Rank: 179
Intra Cos: 0.017967240884900093
Inter Cos: -0.003262182930484414
Norm Quadratic Average: 0.6621778011322021
Nearest Class Center Accuracy: 0.5065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112040519714355
Linear Weight Rank: 180
Intra Cos: 0.015762807801365852
Inter Cos: 0.001131377532146871
Norm Quadratic Average: 0.25353872776031494
Nearest Class Center Accuracy: 0.491375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117838859558105
Linear Weight Rank: 180
Intra Cos: 0.013028080575168133
Inter Cos: -0.0017506600124761462
Norm Quadratic Average: 0.10357300192117691
Nearest Class Center Accuracy: 0.461125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.149627685546875
Linear Weight Rank: 180
Intra Cos: 0.014089715667068958
Inter Cos: 0.0032602844294160604
Norm Quadratic Average: 0.04372739419341087
Nearest Class Center Accuracy: 0.437125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128822326660156
Linear Weight Rank: 179
Intra Cos: 0.018230460584163666
Inter Cos: 0.0026316053699702024
Norm Quadratic Average: 0.018731724470853806
Nearest Class Center Accuracy: 0.43525

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1966677904129028
Linear Weight Rank: 4
Intra Cos: 0.014781375415623188
Inter Cos: 0.0014584438176825643
Norm Quadratic Average: 0.007493312004953623
Nearest Class Center Accuracy: 0.4255

Output Layer:
Intra Cos: 0.03074735961854458
Inter Cos: 0.019785601645708084
Norm Quadratic Average: 0.000986107042990625
Nearest Class Center Accuracy: 0.400125

Test Set:
Average Loss: 1.3865898666381835
Accuracy: 0.255
NC1 Within Class Collapse: 29.456558227539062
NC2 Equinorm: Features: 0.28364837169647217, Weights: 0.022226648405194283
NC2 Equiangle: Features: 0.20197522640228271, Weights: 0.2923317352930705
NC3 Self-Duality: 1.490596055984497
NC4 NCC Mismatch: 0.8195

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.190367698669434
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 8.104043006896973
Linear Weight Rank: 180
Intra Cos: 0.022203801199793816
Inter Cos: -0.004269287921488285
Norm Quadratic Average: 4.879899501800537
Nearest Class Center Accuracy: 0.581

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.096271514892578
Linear Weight Rank: 180
Intra Cos: 0.021254640072584152
Inter Cos: -0.004059974104166031
Norm Quadratic Average: 1.7650880813598633
Nearest Class Center Accuracy: 0.537

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.149612426757812
Linear Weight Rank: 179
Intra Cos: 0.01655746065080166
Inter Cos: -0.0017152219079434872
Norm Quadratic Average: 0.6580070853233337
Nearest Class Center Accuracy: 0.503

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112040519714355
Linear Weight Rank: 180
Intra Cos: 0.014860420487821102
Inter Cos: 0.0005125969182699919
Norm Quadratic Average: 0.25119152665138245
Nearest Class Center Accuracy: 0.5065

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117838859558105
Linear Weight Rank: 180
Intra Cos: 0.011884504929184914
Inter Cos: -0.0008885164861567318
Norm Quadratic Average: 0.10251187533140182
Nearest Class Center Accuracy: 0.4575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.149627685546875
Linear Weight Rank: 180
Intra Cos: 0.011981414631009102
Inter Cos: -0.00019391783280298114
Norm Quadratic Average: 0.043169066309928894
Nearest Class Center Accuracy: 0.4325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128822326660156
Linear Weight Rank: 179
Intra Cos: 0.016771432012319565
Inter Cos: 0.0045818667858839035
Norm Quadratic Average: 0.018426133319735527
Nearest Class Center Accuracy: 0.426

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1966677904129028
Linear Weight Rank: 4
Intra Cos: 0.014036490581929684
Inter Cos: 0.0019488343968987465
Norm Quadratic Average: 0.007385155186057091
Nearest Class Center Accuracy: 0.4145

Output Layer:
Intra Cos: 0.026344455778598785
Inter Cos: 0.018026815727353096
Norm Quadratic Average: 0.000969703949522227
Nearest Class Center Accuracy: 0.391

