Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_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: 7.116679668426514
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.132007598876953
Linear Weight Rank: 179
Intra Cos: 0.013986165635287762
Inter Cos: 0.006550988182425499
Norm Quadratic Average: 4.246417999267578
Nearest Class Center Accuracy: 0.45125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.149503707885742
Linear Weight Rank: 179
Intra Cos: 0.029802123084664345
Inter Cos: 0.028477026149630547
Norm Quadratic Average: 1.6136759519577026
Nearest Class Center Accuracy: 0.45175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100704669952393
Linear Weight Rank: 179
Intra Cos: 0.052334703505039215
Inter Cos: 0.07492721825838089
Norm Quadratic Average: 0.8365783095359802
Nearest Class Center Accuracy: 0.438625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114010334014893
Linear Weight Rank: 180
Intra Cos: 0.06729070842266083
Inter Cos: 0.12106481194496155
Norm Quadratic Average: 0.5693830251693726
Nearest Class Center Accuracy: 0.425

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.3720396757125854
Linear Weight Rank: 4
Intra Cos: 0.07791967689990997
Inter Cos: 0.14355047047138214
Norm Quadratic Average: 0.4677707254886627
Nearest Class Center Accuracy: 0.3805

Output Layer:
Intra Cos: 0.07338324934244156
Inter Cos: 0.1532977670431137
Norm Quadratic Average: 0.4101843237876892
Nearest Class Center Accuracy: 0.358

Test Set:
Average Loss: 1.311655174255371
Accuracy: 0.3775
NC1 Within Class Collapse: 39.472164154052734
NC2 Equinorm: Features: 0.2928943634033203, Weights: 0.10533211380243301
NC2 Equiangle: Features: 0.8637890021006266, Weights: 0.23554259538650513
NC3 Self-Duality: 0.6153809428215027
NC4 NCC Mismatch: 0.2855

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.116679668426514
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
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: 7.132007598876953
Linear Weight Rank: 179
Intra Cos: 0.015621034428477287
Inter Cos: 0.006684682331979275
Norm Quadratic Average: 4.233073711395264
Nearest Class Center Accuracy: 0.4625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.149503707885742
Linear Weight Rank: 179
Intra Cos: 0.028236910700798035
Inter Cos: 0.027332516387104988
Norm Quadratic Average: 1.6104762554168701
Nearest Class Center Accuracy: 0.4485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100704669952393
Linear Weight Rank: 179
Intra Cos: 0.04705532640218735
Inter Cos: 0.07106578350067139
Norm Quadratic Average: 0.8348909020423889
Nearest Class Center Accuracy: 0.4365

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114010334014893
Linear Weight Rank: 180
Intra Cos: 0.053107209503650665
Inter Cos: 0.11389665305614471
Norm Quadratic Average: 0.5675911903381348
Nearest Class Center Accuracy: 0.412

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.3720396757125854
Linear Weight Rank: 4
Intra Cos: 0.055888302624225616
Inter Cos: 0.133457750082016
Norm Quadratic Average: 0.4662349224090576
Nearest Class Center Accuracy: 0.388

Output Layer:
Intra Cos: 0.04200752452015877
Inter Cos: 0.13823558390140533
Norm Quadratic Average: 0.4088677167892456
Nearest Class Center Accuracy: 0.376

