Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.488797664642334
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 6.49732780456543
Linear Weight Rank: 180
Intra Cos: 0.07353721559047699
Inter Cos: 0.005216340534389019
Norm Quadratic Average: 11.164255142211914
Nearest Class Center Accuracy: 0.87475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.457217216491699
Linear Weight Rank: 179
Intra Cos: 0.1039760410785675
Inter Cos: 0.0055276816710829735
Norm Quadratic Average: 11.114762306213379
Nearest Class Center Accuracy: 0.917125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.479128837585449
Linear Weight Rank: 179
Intra Cos: 0.13650725781917572
Inter Cos: 0.006657099351286888
Norm Quadratic Average: 11.090229988098145
Nearest Class Center Accuracy: 0.946875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.435550212860107
Linear Weight Rank: 179
Intra Cos: 0.17047466337680817
Inter Cos: -0.004229347687214613
Norm Quadratic Average: 11.067724227905273
Nearest Class Center Accuracy: 0.9795

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.431563377380371
Linear Weight Rank: 179
Intra Cos: 0.20210404694080353
Inter Cos: -0.003970692399889231
Norm Quadratic Average: 11.036813735961914
Nearest Class Center Accuracy: 0.993875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.450334072113037
Linear Weight Rank: 180
Intra Cos: 0.2572150230407715
Inter Cos: -0.015128163620829582
Norm Quadratic Average: 10.996301651000977
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.431410312652588
Linear Weight Rank: 179
Intra Cos: 0.36092743277549744
Inter Cos: -0.04686989635229111
Norm Quadratic Average: 11.013442039489746
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8342233896255493
Linear Weight Rank: 4
Intra Cos: 0.5480331778526306
Inter Cos: -0.13176478445529938
Norm Quadratic Average: 11.16134262084961
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9717807769775391
Inter Cos: -0.18153569102287292
Norm Quadratic Average: 8.404184341430664
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.30578070831298826
Accuracy: 0.892
NC1 Within Class Collapse: 1.0534353256225586
NC2 Equinorm: Features: 0.013340597040951252, Weights: 0.01686909608542919
NC2 Equiangle: Features: 0.20654034614562988, Weights: 0.07891933123270671
NC3 Self-Duality: 0.21464961767196655
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.488797664642334
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 6.49732780456543
Linear Weight Rank: 180
Intra Cos: 0.07209140807390213
Inter Cos: 0.005478017032146454
Norm Quadratic Average: 11.155089378356934
Nearest Class Center Accuracy: 0.883

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.457217216491699
Linear Weight Rank: 179
Intra Cos: 0.10148067772388458
Inter Cos: 0.006091080605983734
Norm Quadratic Average: 11.109353065490723
Nearest Class Center Accuracy: 0.903

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.479128837585449
Linear Weight Rank: 179
Intra Cos: 0.12450900673866272
Inter Cos: -0.0019199594389647245
Norm Quadratic Average: 11.091123580932617
Nearest Class Center Accuracy: 0.9055

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.435550212860107
Linear Weight Rank: 179
Intra Cos: 0.15835337340831757
Inter Cos: -0.0012548884842544794
Norm Quadratic Average: 11.074372291564941
Nearest Class Center Accuracy: 0.904

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.431563377380371
Linear Weight Rank: 179
Intra Cos: 0.1727016568183899
Inter Cos: 0.003157802391797304
Norm Quadratic Average: 11.0176420211792
Nearest Class Center Accuracy: 0.9025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.450334072113037
Linear Weight Rank: 180
Intra Cos: 0.2021184116601944
Inter Cos: 7.667159661650658e-05
Norm Quadratic Average: 10.901737213134766
Nearest Class Center Accuracy: 0.892

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.431410312652588
Linear Weight Rank: 179
Intra Cos: 0.2608896493911743
Inter Cos: -0.023724891245365143
Norm Quadratic Average: 10.786243438720703
Nearest Class Center Accuracy: 0.8985

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8342233896255493
Linear Weight Rank: 4
Intra Cos: 0.3933425843715668
Inter Cos: -0.05801256746053696
Norm Quadratic Average: 10.58670711517334
Nearest Class Center Accuracy: 0.8955

Output Layer:
Intra Cos: 0.7211455702781677
Inter Cos: -0.08004564791917801
Norm Quadratic Average: 7.640899181365967
Nearest Class Center Accuracy: 0.894

