Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.128392219543457
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
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: 8.142449378967285
Linear Weight Rank: 179
Intra Cos: 0.01276586577296257
Inter Cos: 0.005193226970732212
Norm Quadratic Average: 4.834195137023926
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161847114562988
Linear Weight Rank: 179
Intra Cos: 0.009402338415384293
Inter Cos: 0.00246987771242857
Norm Quadratic Average: 1.7010184526443481
Nearest Class Center Accuracy: 0.441875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103225708007812
Linear Weight Rank: 179
Intra Cos: 0.009370950050652027
Inter Cos: 0.0006083546322770417
Norm Quadratic Average: 0.625555694103241
Nearest Class Center Accuracy: 0.42425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112631797790527
Linear Weight Rank: 180
Intra Cos: 0.009690675884485245
Inter Cos: 0.002130744745954871
Norm Quadratic Average: 0.2399659901857376
Nearest Class Center Accuracy: 0.415375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134204864501953
Linear Weight Rank: 179
Intra Cos: 0.010590926744043827
Inter Cos: 0.004520969465374947
Norm Quadratic Average: 0.09633994102478027
Nearest Class Center Accuracy: 0.401875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113189697265625
Linear Weight Rank: 180
Intra Cos: 0.01073041558265686
Inter Cos: 0.005830078851431608
Norm Quadratic Average: 0.035163626074790955
Nearest Class Center Accuracy: 0.396

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.107791900634766
Linear Weight Rank: 179
Intra Cos: 0.010161607526242733
Inter Cos: 0.004332601558417082
Norm Quadratic Average: 0.014722094871103764
Nearest Class Center Accuracy: 0.385875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.193225622177124
Linear Weight Rank: 4
Intra Cos: 0.009939664974808693
Inter Cos: 0.007723046001046896
Norm Quadratic Average: 0.00613445695489645
Nearest Class Center Accuracy: 0.38025

Output Layer:
Intra Cos: 0.014263567514717579
Inter Cos: 0.0317348875105381
Norm Quadratic Average: 0.0006340104737319052
Nearest Class Center Accuracy: 0.36775

Test Set:
Average Loss: 1.3836238899230957
Accuracy: 0.2695
NC1 Within Class Collapse: 87.40496063232422
NC2 Equinorm: Features: 0.22618156671524048, Weights: 0.021409301087260246
NC2 Equiangle: Features: 0.32865269978841144, Weights: 0.3449842135111491
NC3 Self-Duality: 1.647552728652954
NC4 NCC Mismatch: 0.725

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.128392219543457
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142449378967285
Linear Weight Rank: 179
Intra Cos: 0.014101356267929077
Inter Cos: 0.0054634734988212585
Norm Quadratic Average: 4.819521427154541
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161847114562988
Linear Weight Rank: 179
Intra Cos: 0.009912203066051006
Inter Cos: 0.002809112425893545
Norm Quadratic Average: 1.7009108066558838
Nearest Class Center Accuracy: 0.444

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103225708007812
Linear Weight Rank: 179
Intra Cos: 0.00877445563673973
Inter Cos: 0.002763004507869482
Norm Quadratic Average: 0.6259251236915588
Nearest Class Center Accuracy: 0.42

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.112631797790527
Linear Weight Rank: 180
Intra Cos: 0.008518416434526443
Inter Cos: 0.004455385729670525
Norm Quadratic Average: 0.2400534451007843
Nearest Class Center Accuracy: 0.4025

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.134204864501953
Linear Weight Rank: 179
Intra Cos: 0.010162923485040665
Inter Cos: 0.003856723429635167
Norm Quadratic Average: 0.09632658958435059
Nearest Class Center Accuracy: 0.408

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.113189697265625
Linear Weight Rank: 180
Intra Cos: 0.009412904269993305
Inter Cos: 0.005099342204630375
Norm Quadratic Average: 0.03519050031900406
Nearest Class Center Accuracy: 0.401

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.107791900634766
Linear Weight Rank: 179
Intra Cos: 0.009310663677752018
Inter Cos: 0.00479947729036212
Norm Quadratic Average: 0.014747289940714836
Nearest Class Center Accuracy: 0.385

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.193225622177124
Linear Weight Rank: 4
Intra Cos: 0.009347077459096909
Inter Cos: 0.005897335708141327
Norm Quadratic Average: 0.006145199295133352
Nearest Class Center Accuracy: 0.3735

Output Layer:
Intra Cos: 0.00865433644503355
Inter Cos: 0.024542469531297684
Norm Quadratic Average: 0.0006422491278499365
Nearest Class Center Accuracy: 0.372

