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_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03676986694336
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952126979827881
Linear Weight Rank: 180
Intra Cos: 0.012244007550179958
Inter Cos: 0.005390650127083063
Norm Quadratic Average: 4.795562744140625
Nearest Class Center Accuracy: 0.450875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944483280181885
Linear Weight Rank: 180
Intra Cos: 0.01075215358287096
Inter Cos: 0.007069090381264687
Norm Quadratic Average: 1.7039395570755005
Nearest Class Center Accuracy: 0.43575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996818542480469
Linear Weight Rank: 179
Intra Cos: 0.009161828085780144
Inter Cos: 0.00662108464166522
Norm Quadratic Average: 0.6208188533782959
Nearest Class Center Accuracy: 0.4145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959892749786377
Linear Weight Rank: 180
Intra Cos: 0.009310309775173664
Inter Cos: 0.003007103456184268
Norm Quadratic Average: 0.2290657013654709
Nearest Class Center Accuracy: 0.398375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965583324432373
Linear Weight Rank: 180
Intra Cos: 0.008309167809784412
Inter Cos: 0.004325238522142172
Norm Quadratic Average: 0.09007241576910019
Nearest Class Center Accuracy: 0.396625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9967942237854
Linear Weight Rank: 180
Intra Cos: 0.010200275108218193
Inter Cos: 0.002002942841500044
Norm Quadratic Average: 0.03660822659730911
Nearest Class Center Accuracy: 0.385125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976454257965088
Linear Weight Rank: 179
Intra Cos: 0.009582693688571453
Inter Cos: 0.00015271443407982588
Norm Quadratic Average: 0.015262190252542496
Nearest Class Center Accuracy: 0.373125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.167155146598816
Linear Weight Rank: 4
Intra Cos: 0.007999277673661709
Inter Cos: 0.0010166311403736472
Norm Quadratic Average: 0.006044242065399885
Nearest Class Center Accuracy: 0.3635

Output Layer:
Intra Cos: 0.005381202325224876
Inter Cos: 0.008676895871758461
Norm Quadratic Average: 0.0006016645347699523
Nearest Class Center Accuracy: 0.338375

Test Set:
Average Loss: 1.3836200103759766
Accuracy: 0.2695
NC1 Within Class Collapse: 55.6455192565918
NC2 Equinorm: Features: 0.2726830542087555, Weights: 0.019819647073745728
NC2 Equiangle: Features: 0.2017627159754435, Weights: 0.2956286867459615
NC3 Self-Duality: 1.7034919261932373
NC4 NCC Mismatch: 0.7685

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03676986694336
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 7.952126979827881
Linear Weight Rank: 180
Intra Cos: 0.011713809333741665
Inter Cos: 0.004926674999296665
Norm Quadratic Average: 4.773819923400879
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944483280181885
Linear Weight Rank: 180
Intra Cos: 0.00942344218492508
Inter Cos: 0.006880198605358601
Norm Quadratic Average: 1.6920591592788696
Nearest Class Center Accuracy: 0.4485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996818542480469
Linear Weight Rank: 179
Intra Cos: 0.006897402927279472
Inter Cos: 0.007616661489009857
Norm Quadratic Average: 0.6192083358764648
Nearest Class Center Accuracy: 0.4235

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959892749786377
Linear Weight Rank: 180
Intra Cos: 0.006540453061461449
Inter Cos: 0.0036317226476967335
Norm Quadratic Average: 0.2279091626405716
Nearest Class Center Accuracy: 0.411

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965583324432373
Linear Weight Rank: 180
Intra Cos: 0.006281695328652859
Inter Cos: 0.00510176457464695
Norm Quadratic Average: 0.08983810245990753
Nearest Class Center Accuracy: 0.413

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9967942237854
Linear Weight Rank: 180
Intra Cos: 0.009258453734219074
Inter Cos: 0.0011668489314615726
Norm Quadratic Average: 0.03654848784208298
Nearest Class Center Accuracy: 0.395

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976454257965088
Linear Weight Rank: 179
Intra Cos: 0.011321797966957092
Inter Cos: -0.0006982810446061194
Norm Quadratic Average: 0.015236292034387589
Nearest Class Center Accuracy: 0.389

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.167155146598816
Linear Weight Rank: 4
Intra Cos: 0.00903438962996006
Inter Cos: 0.002041626488789916
Norm Quadratic Average: 0.006036142818629742
Nearest Class Center Accuracy: 0.379

Output Layer:
Intra Cos: 0.008450968191027641
Inter Cos: 0.0107587780803442
Norm Quadratic Average: 0.0005981872673146427
Nearest Class Center Accuracy: 0.3445

