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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.30221176147461
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: 8.333672523498535
Linear Weight Rank: 179
Intra Cos: 0.12104533612728119
Inter Cos: 0.007459878921508789
Norm Quadratic Average: 5.076035976409912
Nearest Class Center Accuracy: 0.933375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.32054615020752
Linear Weight Rank: 179
Intra Cos: 0.4873902499675751
Inter Cos: 0.037694379687309265
Norm Quadratic Average: 4.061648845672607
Nearest Class Center Accuracy: 0.972375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.304076194763184
Linear Weight Rank: 179
Intra Cos: 0.6767687797546387
Inter Cos: 0.061691880226135254
Norm Quadratic Average: 5.805958271026611
Nearest Class Center Accuracy: 0.971625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.331573486328125
Linear Weight Rank: 179
Intra Cos: 0.7236817479133606
Inter Cos: 0.03823772445321083
Norm Quadratic Average: 8.89377498626709
Nearest Class Center Accuracy: 0.983625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9443886280059814
Linear Weight Rank: 4
Intra Cos: 0.7298021912574768
Inter Cos: 0.027067434042692184
Norm Quadratic Average: 13.114066123962402
Nearest Class Center Accuracy: 0.983875

Output Layer:
Intra Cos: 0.8394452333450317
Inter Cos: 0.07240574806928635
Norm Quadratic Average: 24.321081161499023
Nearest Class Center Accuracy: 0.985375

Test Set:
Average Loss: 0.06219965028762817
Accuracy: 0.9695
NC1 Within Class Collapse: 1.5047894716262817
NC2 Equinorm: Features: 0.04467783123254776, Weights: 0.047911256551742554
NC2 Equiangle: Features: 0.4282954931259155, Weights: 0.3732136885325114
NC3 Self-Duality: 0.11062755435705185
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.30221176147461
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: 8.333672523498535
Linear Weight Rank: 179
Intra Cos: 0.11868704110383987
Inter Cos: 0.004505785182118416
Norm Quadratic Average: 5.078256607055664
Nearest Class Center Accuracy: 0.928

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.32054615020752
Linear Weight Rank: 179
Intra Cos: 0.48395535349845886
Inter Cos: 0.024647697806358337
Norm Quadratic Average: 4.100789546966553
Nearest Class Center Accuracy: 0.9565

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.304076194763184
Linear Weight Rank: 179
Intra Cos: 0.678990364074707
Inter Cos: 0.04672126844525337
Norm Quadratic Average: 5.869539260864258
Nearest Class Center Accuracy: 0.952

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.331573486328125
Linear Weight Rank: 179
Intra Cos: 0.7174500226974487
Inter Cos: 0.04744991287589073
Norm Quadratic Average: 8.984354019165039
Nearest Class Center Accuracy: 0.963

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9443886280059814
Linear Weight Rank: 4
Intra Cos: 0.7423079013824463
Inter Cos: 0.040075816214084625
Norm Quadratic Average: 13.231344223022461
Nearest Class Center Accuracy: 0.9655

Output Layer:
Intra Cos: 0.8289986848831177
Inter Cos: 0.05798443779349327
Norm Quadratic Average: 24.476058959960938
Nearest Class Center Accuracy: 0.969

