Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.091797351837158
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.193972587585449
Linear Weight Rank: 180
Intra Cos: 0.02529025264084339
Inter Cos: -0.0033622097689658403
Norm Quadratic Average: 12.25979232788086
Nearest Class Center Accuracy: 0.584625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.167078971862793
Linear Weight Rank: 179
Intra Cos: 0.027144014835357666
Inter Cos: -0.0032035335898399353
Norm Quadratic Average: 12.244343757629395
Nearest Class Center Accuracy: 0.641375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081887245178223
Linear Weight Rank: 179
Intra Cos: 0.037845682352781296
Inter Cos: -0.005496895406395197
Norm Quadratic Average: 12.208892822265625
Nearest Class Center Accuracy: 0.748625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069077014923096
Linear Weight Rank: 179
Intra Cos: 0.06798841804265976
Inter Cos: -0.01824333891272545
Norm Quadratic Average: 12.180313110351562
Nearest Class Center Accuracy: 0.94725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.661534309387207
Linear Weight Rank: 4
Intra Cos: 0.22870774567127228
Inter Cos: -0.054268673062324524
Norm Quadratic Average: 12.447203636169434
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8698810935020447
Inter Cos: -0.13414694368839264
Norm Quadratic Average: 10.033524513244629
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9973165740966797
Accuracy: 0.734
NC1 Within Class Collapse: 3.6378602981567383
NC2 Equinorm: Features: 0.05245645344257355, Weights: 0.024532068520784378
NC2 Equiangle: Features: 0.11434565981229146, Weights: 0.04854372640450796
NC3 Self-Duality: 0.17598074674606323
NC4 NCC Mismatch: 0.04600000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.091797351837158
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.193972587585449
Linear Weight Rank: 180
Intra Cos: 0.02450515143573284
Inter Cos: -0.0027106511406600475
Norm Quadratic Average: 12.315374374389648
Nearest Class Center Accuracy: 0.5775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.167078971862793
Linear Weight Rank: 179
Intra Cos: 0.02340410277247429
Inter Cos: -0.002353275427594781
Norm Quadratic Average: 12.271324157714844
Nearest Class Center Accuracy: 0.6215

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.081887245178223
Linear Weight Rank: 179
Intra Cos: 0.02885965257883072
Inter Cos: -0.0016577503411099315
Norm Quadratic Average: 12.219222068786621
Nearest Class Center Accuracy: 0.6715

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.069077014923096
Linear Weight Rank: 179
Intra Cos: 0.043802302330732346
Inter Cos: -0.005701437592506409
Norm Quadratic Average: 12.09698486328125
Nearest Class Center Accuracy: 0.724

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.661534309387207
Linear Weight Rank: 4
Intra Cos: 0.10773608088493347
Inter Cos: -0.018349194899201393
Norm Quadratic Average: 12.121070861816406
Nearest Class Center Accuracy: 0.7365

Output Layer:
Intra Cos: 0.4213007688522339
Inter Cos: -0.06906228512525558
Norm Quadratic Average: 9.202332496643066
Nearest Class Center Accuracy: 0.732

