Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.106595039367676
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: 8.460997581481934
Linear Weight Rank: 179
Intra Cos: 0.012888879515230656
Inter Cos: 0.004885964095592499
Norm Quadratic Average: 13.904671669006348
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.368725776672363
Linear Weight Rank: 180
Intra Cos: 0.0121688861399889
Inter Cos: 0.0033648316748440266
Norm Quadratic Average: 13.88272762298584
Nearest Class Center Accuracy: 0.488875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.236666679382324
Linear Weight Rank: 179
Intra Cos: 0.012939952313899994
Inter Cos: 0.003161712782457471
Norm Quadratic Average: 13.835315704345703
Nearest Class Center Accuracy: 0.517125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18376350402832
Linear Weight Rank: 180
Intra Cos: 0.018620049580931664
Inter Cos: 0.001937178778462112
Norm Quadratic Average: 13.82359504699707
Nearest Class Center Accuracy: 0.581875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145907402038574
Linear Weight Rank: 180
Intra Cos: 0.025931499898433685
Inter Cos: 0.0032717420253902674
Norm Quadratic Average: 13.838113784790039
Nearest Class Center Accuracy: 0.698625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07795238494873
Linear Weight Rank: 180
Intra Cos: 0.03921426832675934
Inter Cos: -0.003238758770748973
Norm Quadratic Average: 13.843768119812012
Nearest Class Center Accuracy: 0.874125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044758796691895
Linear Weight Rank: 180
Intra Cos: 0.09121059626340866
Inter Cos: -0.01926369220018387
Norm Quadratic Average: 13.921019554138184
Nearest Class Center Accuracy: 0.997625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6430296897888184
Linear Weight Rank: 4
Intra Cos: 0.25615912675857544
Inter Cos: -0.07130395621061325
Norm Quadratic Average: 14.322807312011719
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.910652220249176
Inter Cos: -0.22256194055080414
Norm Quadratic Average: 11.264969825744629
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.7016751861572263
Accuracy: 0.499
NC1 Within Class Collapse: 16.341941833496094
NC2 Equinorm: Features: 0.058215923607349396, Weights: 0.040458519011735916
NC2 Equiangle: Features: 0.27703630924224854, Weights: 0.06861796975135803
NC3 Self-Duality: 0.2674386203289032
NC4 NCC Mismatch: 0.08450000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.106595039367676
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: 8.460997581481934
Linear Weight Rank: 179
Intra Cos: 0.014175079762935638
Inter Cos: 0.00476764515042305
Norm Quadratic Average: 13.856295585632324
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.368725776672363
Linear Weight Rank: 180
Intra Cos: 0.012120108120143414
Inter Cos: 0.0031222787220031023
Norm Quadratic Average: 13.85383415222168
Nearest Class Center Accuracy: 0.487

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.236666679382324
Linear Weight Rank: 179
Intra Cos: 0.011302766390144825
Inter Cos: 0.0036592779215425253
Norm Quadratic Average: 13.79995059967041
Nearest Class Center Accuracy: 0.48

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18376350402832
Linear Weight Rank: 180
Intra Cos: 0.0126500790938735
Inter Cos: 0.0035106276627629995
Norm Quadratic Average: 13.75456428527832
Nearest Class Center Accuracy: 0.4995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.145907402038574
Linear Weight Rank: 180
Intra Cos: 0.012714057229459286
Inter Cos: 0.005316738970577717
Norm Quadratic Average: 13.65767765045166
Nearest Class Center Accuracy: 0.4955

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07795238494873
Linear Weight Rank: 180
Intra Cos: 0.011039823293685913
Inter Cos: 0.004041739273816347
Norm Quadratic Average: 13.562192916870117
Nearest Class Center Accuracy: 0.5025

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044758796691895
Linear Weight Rank: 180
Intra Cos: 0.014576707035303116
Inter Cos: 0.0032171308994293213
Norm Quadratic Average: 13.289069175720215
Nearest Class Center Accuracy: 0.5185

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6430296897888184
Linear Weight Rank: 4
Intra Cos: 0.028291575610637665
Inter Cos: 0.004552489146590233
Norm Quadratic Average: 12.868303298950195
Nearest Class Center Accuracy: 0.506

Output Layer:
Intra Cos: 0.10472720116376877
Inter Cos: 0.018303724005818367
Norm Quadratic Average: 8.43118667602539
Nearest Class Center Accuracy: 0.4975

