Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.760336995124817
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: 1.751347541809082
Linear Weight Rank: 179
Intra Cos: 0.054399628192186356
Inter Cos: 0.006049437448382378
Norm Quadratic Average: 1.0433892011642456
Nearest Class Center Accuracy: 0.808375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7476164102554321
Linear Weight Rank: 179
Intra Cos: 0.0648767426609993
Inter Cos: 0.017879175022244453
Norm Quadratic Average: 0.08729605376720428
Nearest Class Center Accuracy: 0.726125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7418935298919678
Linear Weight Rank: 179
Intra Cos: 0.08113798499107361
Inter Cos: 0.049257826060056686
Norm Quadratic Average: 0.008419857360422611
Nearest Class Center Accuracy: 0.70675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7454540729522705
Linear Weight Rank: 179
Intra Cos: 0.10547623783349991
Inter Cos: 0.0750722661614418
Norm Quadratic Average: 0.0008602286106906831
Nearest Class Center Accuracy: 0.687625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2563101053237915
Linear Weight Rank: 4
Intra Cos: 0.14460590481758118
Inter Cos: 0.10560815781354904
Norm Quadratic Average: 9.000490535981953e-05
Nearest Class Center Accuracy: 0.68

Output Layer:
Intra Cos: 0.2855952978134155
Inter Cos: 0.26234355568885803
Norm Quadratic Average: 6.239800313778687e-06
Nearest Class Center Accuracy: 0.61775

Test Set:
Average Loss: 1.3871306076049805
Accuracy: 0.257
NC1 Within Class Collapse: 49.127044677734375
NC2 Equinorm: Features: 0.31069740653038025, Weights: 0.03384379670023918
NC2 Equiangle: Features: 0.5507183074951172, Weights: 0.2720462481180827
NC3 Self-Duality: 1.1154106855392456
NC4 NCC Mismatch: 0.749

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.760336995124817
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: 1.751347541809082
Linear Weight Rank: 179
Intra Cos: 0.05254046246409416
Inter Cos: 0.0026137076783925295
Norm Quadratic Average: 1.0418281555175781
Nearest Class Center Accuracy: 0.8205

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7476164102554321
Linear Weight Rank: 179
Intra Cos: 0.06229627877473831
Inter Cos: 0.011159009300172329
Norm Quadratic Average: 0.08698492497205734
Nearest Class Center Accuracy: 0.73

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7418935298919678
Linear Weight Rank: 179
Intra Cos: 0.07604126632213593
Inter Cos: 0.03788051754236221
Norm Quadratic Average: 0.00839352048933506
Nearest Class Center Accuracy: 0.7025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7454540729522705
Linear Weight Rank: 179
Intra Cos: 0.10119455307722092
Inter Cos: 0.06163400411605835
Norm Quadratic Average: 0.0008569795172661543
Nearest Class Center Accuracy: 0.6875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2563101053237915
Linear Weight Rank: 4
Intra Cos: 0.1398301124572754
Inter Cos: 0.09099519997835159
Norm Quadratic Average: 8.975632226793095e-05
Nearest Class Center Accuracy: 0.67

Output Layer:
Intra Cos: 0.265840619802475
Inter Cos: 0.23621879518032074
Norm Quadratic Average: 6.233506610442419e-06
Nearest Class Center Accuracy: 0.6095

