Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.917698860168457
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97856330871582
Linear Weight Rank: 180
Intra Cos: 0.012168587185442448
Inter Cos: 0.0031030788086354733
Norm Quadratic Average: 13.472495079040527
Nearest Class Center Accuracy: 0.456125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.899527072906494
Linear Weight Rank: 181
Intra Cos: 0.01142184529453516
Inter Cos: 0.0026849014684557915
Norm Quadratic Average: 13.468070983886719
Nearest Class Center Accuracy: 0.492

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863921642303467
Linear Weight Rank: 180
Intra Cos: 0.012630938552320004
Inter Cos: 0.002735292073339224
Norm Quadratic Average: 13.430737495422363
Nearest Class Center Accuracy: 0.5605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789657115936279
Linear Weight Rank: 179
Intra Cos: 0.025647202506661415
Inter Cos: -0.0008711882983334363
Norm Quadratic Average: 13.405637741088867
Nearest Class Center Accuracy: 0.806

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.205913543701172
Linear Weight Rank: 4
Intra Cos: 0.11958355456590652
Inter Cos: -0.029016882181167603
Norm Quadratic Average: 13.742390632629395
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.867888331413269
Inter Cos: -0.19641226530075073
Norm Quadratic Average: 9.651690483093262
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.298940269470215
Accuracy: 0.523
NC1 Within Class Collapse: 12.686680793762207
NC2 Equinorm: Features: 0.04309173673391342, Weights: 0.008742092177271843
NC2 Equiangle: Features: 0.2511697808901469, Weights: 0.03487900892893473
NC3 Self-Duality: 0.3164161741733551
NC4 NCC Mismatch: 0.13

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.917698860168457
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97856330871582
Linear Weight Rank: 180
Intra Cos: 0.013231429271399975
Inter Cos: 0.003131294157356024
Norm Quadratic Average: 13.451725959777832
Nearest Class Center Accuracy: 0.4665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.899527072906494
Linear Weight Rank: 181
Intra Cos: 0.011305687949061394
Inter Cos: 0.001782644772902131
Norm Quadratic Average: 13.430282592773438
Nearest Class Center Accuracy: 0.494

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.863921642303467
Linear Weight Rank: 180
Intra Cos: 0.008722584694623947
Inter Cos: 0.002293078461661935
Norm Quadratic Average: 13.410269737243652
Nearest Class Center Accuracy: 0.5

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789657115936279
Linear Weight Rank: 179
Intra Cos: 0.008825462311506271
Inter Cos: 0.002282824832946062
Norm Quadratic Average: 13.322235107421875
Nearest Class Center Accuracy: 0.5285

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.205913543701172
Linear Weight Rank: 4
Intra Cos: 0.018642669543623924
Inter Cos: 0.0031407251954078674
Norm Quadratic Average: 13.316720962524414
Nearest Class Center Accuracy: 0.5415

Output Layer:
Intra Cos: 0.14173080027103424
Inter Cos: 0.023575911298394203
Norm Quadratic Average: 8.050576210021973
Nearest Class Center Accuracy: 0.5165

