Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.451604843139648
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 8.352680206298828
Linear Weight Rank: 179
Intra Cos: 0.03133830800652504
Inter Cos: -0.0036375795025378466
Norm Quadratic Average: 4.995483875274658
Nearest Class Center Accuracy: 0.601875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.337398529052734
Linear Weight Rank: 179
Intra Cos: 0.06918195635080338
Inter Cos: -0.01161382906138897
Norm Quadratic Average: 2.5688858032226562
Nearest Class Center Accuracy: 0.673375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.365466117858887
Linear Weight Rank: 180
Intra Cos: 0.17356573045253754
Inter Cos: -0.028967613354325294
Norm Quadratic Average: 1.9453749656677246
Nearest Class Center Accuracy: 0.7155

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.350258827209473
Linear Weight Rank: 179
Intra Cos: 0.25240445137023926
Inter Cos: -0.06039460748434067
Norm Quadratic Average: 2.1813201904296875
Nearest Class Center Accuracy: 0.732875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6029212474823
Linear Weight Rank: 4
Intra Cos: 0.2920902669429779
Inter Cos: -0.05329212546348572
Norm Quadratic Average: 2.792980909347534
Nearest Class Center Accuracy: 0.7415

Output Layer:
Intra Cos: 0.3302682340145111
Inter Cos: -0.02234542928636074
Norm Quadratic Average: 3.7888429164886475
Nearest Class Center Accuracy: 0.736875

Test Set:
Average Loss: 0.6841274070739746
Accuracy: 0.715
NC1 Within Class Collapse: 5.497597694396973
NC2 Equinorm: Features: 0.14953498542308807, Weights: 0.033549923449754715
NC2 Equiangle: Features: 0.18604842821756998, Weights: 0.07000694175561269
NC3 Self-Duality: 0.17431320250034332
NC4 NCC Mismatch: 0.08899999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.451604843139648
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 8.352680206298828
Linear Weight Rank: 179
Intra Cos: 0.027946902438998222
Inter Cos: -0.003339968156069517
Norm Quadratic Average: 4.998527526855469
Nearest Class Center Accuracy: 0.6035

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.337398529052734
Linear Weight Rank: 179
Intra Cos: 0.061799775809049606
Inter Cos: -0.0059433733113110065
Norm Quadratic Average: 2.569378614425659
Nearest Class Center Accuracy: 0.6565

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.365466117858887
Linear Weight Rank: 180
Intra Cos: 0.15993645787239075
Inter Cos: -0.009367628023028374
Norm Quadratic Average: 1.9438526630401611
Nearest Class Center Accuracy: 0.6915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.350258827209473
Linear Weight Rank: 179
Intra Cos: 0.23214922845363617
Inter Cos: -0.027820231392979622
Norm Quadratic Average: 2.174992561340332
Nearest Class Center Accuracy: 0.7015

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6029212474823
Linear Weight Rank: 4
Intra Cos: 0.26677998900413513
Inter Cos: -0.04469282552599907
Norm Quadratic Average: 2.7805240154266357
Nearest Class Center Accuracy: 0.7045

Output Layer:
Intra Cos: 0.2983950674533844
Inter Cos: -0.03254272788763046
Norm Quadratic Average: 3.7693800926208496
Nearest Class Center Accuracy: 0.706

