Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.941506385803223
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 4.960155963897705
Linear Weight Rank: 179
Intra Cos: 0.07075770944356918
Inter Cos: 0.006056702695786953
Norm Quadratic Average: 8.471545219421387
Nearest Class Center Accuracy: 0.8765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.9241461753845215
Linear Weight Rank: 179
Intra Cos: 0.11757474392652512
Inter Cos: 0.0011804886162281036
Norm Quadratic Average: 8.465791702270508
Nearest Class Center Accuracy: 0.93175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.890694618225098
Linear Weight Rank: 179
Intra Cos: 0.15829256176948547
Inter Cos: -0.0005794395692646503
Norm Quadratic Average: 8.436898231506348
Nearest Class Center Accuracy: 0.969375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.893619537353516
Linear Weight Rank: 179
Intra Cos: 0.25616562366485596
Inter Cos: -0.019059360027313232
Norm Quadratic Average: 8.402220726013184
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9860798120498657
Linear Weight Rank: 4
Intra Cos: 0.5802075266838074
Inter Cos: -0.1003284603357315
Norm Quadratic Average: 8.582736015319824
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9574015140533447
Inter Cos: -0.1466466188430786
Norm Quadratic Average: 7.3793816566467285
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2401611189842224
Accuracy: 0.9005
NC1 Within Class Collapse: 1.0726932287216187
NC2 Equinorm: Features: 0.01818814128637314, Weights: 0.018559962511062622
NC2 Equiangle: Features: 0.24051006635030112, Weights: 0.07124694685141246
NC3 Self-Duality: 0.1644045114517212
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.941506385803223
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 4.960155963897705
Linear Weight Rank: 179
Intra Cos: 0.0691249817609787
Inter Cos: 0.001412006327882409
Norm Quadratic Average: 8.461505889892578
Nearest Class Center Accuracy: 0.883

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.9241461753845215
Linear Weight Rank: 179
Intra Cos: 0.11163488775491714
Inter Cos: 0.005120776128023863
Norm Quadratic Average: 8.456972122192383
Nearest Class Center Accuracy: 0.91

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.890694618225098
Linear Weight Rank: 179
Intra Cos: 0.14051216840744019
Inter Cos: 0.007761021144688129
Norm Quadratic Average: 8.450765609741211
Nearest Class Center Accuracy: 0.9045

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.893619537353516
Linear Weight Rank: 179
Intra Cos: 0.20591464638710022
Inter Cos: -0.0068876477889716625
Norm Quadratic Average: 8.385539054870605
Nearest Class Center Accuracy: 0.91

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9860798120498657
Linear Weight Rank: 4
Intra Cos: 0.4241105914115906
Inter Cos: -0.04452880844473839
Norm Quadratic Average: 8.296971321105957
Nearest Class Center Accuracy: 0.904

Output Layer:
Intra Cos: 0.7486992478370667
Inter Cos: -0.05648358166217804
Norm Quadratic Average: 6.928755283355713
Nearest Class Center Accuracy: 0.9065

