Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_15_weight_decay_0.01.pth.tar
Training Set:
Average Loss: 0.01639280113577843
Accuracy: 1.0
NC1 Within Class Collapse: 0.011237859725952148
NC2 Equinorm: Features: 0.024319501593708992, Weights: 0.021383535116910934
NC2 Equiangle: Features: 0.01650942862033844, Weights: 0.018607308467229206
NC3 Self-Duality: 0.005470744799822569
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.017824649810791
Intra Cos: 0.03354979306459427
Inter Cos: -0.005712222773581743
Norm Quadratic Average: 4.000314712524414
Nearest Class Center Accuracy: 0.58025

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.464294672012329
Intra Cos: 0.037618957459926605
Inter Cos: -0.006226264871656895
Norm Quadratic Average: 1.6434240341186523
Nearest Class Center Accuracy: 0.682

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4219014644622803
Intra Cos: 0.12137560546398163
Inter Cos: -0.018555045127868652
Norm Quadratic Average: 1.096219539642334
Nearest Class Center Accuracy: 0.9435

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.745659351348877
Intra Cos: 0.7537658214569092
Inter Cos: -0.1671757996082306
Norm Quadratic Average: 0.6077736616134644
Nearest Class Center Accuracy: 0.99975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4358273148536682
Intra Cos: 0.9352856278419495
Inter Cos: -0.11818285286426544
Norm Quadratic Average: 0.25405773520469666
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.40276381373405457
Intra Cos: 0.9707834720611572
Inter Cos: 0.00873614102602005
Norm Quadratic Average: 0.18009759485721588
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.39255595207214355
Intra Cos: 0.9658383727073669
Inter Cos: -0.022252634167671204
Norm Quadratic Average: 0.14671902358531952
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3825846016407013
Intra Cos: 0.9610264301300049
Inter Cos: 0.04781113564968109
Norm Quadratic Average: 0.11402229964733124
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.38318684697151184
Intra Cos: 0.9594979882240295
Inter Cos: 0.01849736087024212
Norm Quadratic Average: 0.12516193091869354
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3917683959007263
Intra Cos: 0.9592932462692261
Inter Cos: -7.50003382563591e-05
Norm Quadratic Average: 0.1347564160823822
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4129922091960907
Intra Cos: 0.9618253707885742
Inter Cos: 0.031176280230283737
Norm Quadratic Average: 0.16441769897937775
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4275914430618286
Intra Cos: 0.9633082151412964
Inter Cos: 0.0869348868727684
Norm Quadratic Average: 0.18851645290851593
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4928118586540222
Intra Cos: 0.9738925099372864
Inter Cos: -0.02545168623328209
Norm Quadratic Average: 0.2753482460975647
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7109577059745789
Intra Cos: 0.9729912281036377
Inter Cos: -0.1630338430404663
Norm Quadratic Average: 0.5552358627319336
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8669114112854004
Intra Cos: 0.9917703866958618
Inter Cos: -0.27401211857795715
Norm Quadratic Average: 2.740859031677246
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9963963031768799
Inter Cos: -0.2528362572193146
Norm Quadratic Average: 4.528219699859619
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0634514007568359
Accuracy: 0.724
NC1 Within Class Collapse: 3.5602073669433594
NC2 Equinorm: Features: 0.040639884769916534, Weights: 0.021383535116910934
NC2 Equiangle: Features: 0.060823917388916016, Weights: 0.018607308467229206
NC3 Self-Duality: 0.007501131389290094
NC4 NCC Mismatch: 0.01100000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.017824649810791
Intra Cos: 0.03459429368376732
Inter Cos: -0.002618459751829505
Norm Quadratic Average: 3.9999916553497314
Nearest Class Center Accuracy: 0.577

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.464294672012329
Intra Cos: 0.03603975474834442
Inter Cos: -0.004214413929730654
Norm Quadratic Average: 1.6593806743621826
Nearest Class Center Accuracy: 0.66

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4219014644622803
Intra Cos: 0.07474052906036377
Inter Cos: -0.0004953941097483039
Norm Quadratic Average: 1.0935778617858887
Nearest Class Center Accuracy: 0.727

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.745659351348877
Intra Cos: 0.26971739530563354
Inter Cos: -0.028322160243988037
Norm Quadratic Average: 0.5501933693885803
Nearest Class Center Accuracy: 0.706

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4358273148536682
Intra Cos: 0.312163770198822
Inter Cos: -0.04264393448829651
Norm Quadratic Average: 0.21990004181861877
Nearest Class Center Accuracy: 0.723

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.40276381373405457
Intra Cos: 0.3099471628665924
Inter Cos: -0.05453833192586899
Norm Quadratic Average: 0.15769097208976746
Nearest Class Center Accuracy: 0.729

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.39255595207214355
Intra Cos: 0.3095032870769501
Inter Cos: -0.05578325316309929
Norm Quadratic Average: 0.12844853103160858
Nearest Class Center Accuracy: 0.73

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3825846016407013
Intra Cos: 0.30384212732315063
Inter Cos: -0.029244283214211464
Norm Quadratic Average: 0.09996213018894196
Nearest Class Center Accuracy: 0.728

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.38318684697151184
Intra Cos: 0.30313244462013245
Inter Cos: -0.041311997920274734
Norm Quadratic Average: 0.10956721752882004
Nearest Class Center Accuracy: 0.728

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3917683959007263
Intra Cos: 0.30375590920448303
Inter Cos: -0.05167002230882645
Norm Quadratic Average: 0.11823949962854385
Nearest Class Center Accuracy: 0.732

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4129922091960907
Intra Cos: 0.30542826652526855
Inter Cos: -0.07211899757385254
Norm Quadratic Average: 0.14417555928230286
Nearest Class Center Accuracy: 0.732

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4275914430618286
Intra Cos: 0.31221190094947815
Inter Cos: -0.03454228490591049
Norm Quadratic Average: 0.16629011929035187
Nearest Class Center Accuracy: 0.733

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4928118586540222
Intra Cos: 0.3269272446632385
Inter Cos: -0.08540403842926025
Norm Quadratic Average: 0.24344207346439362
Nearest Class Center Accuracy: 0.728

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7109577059745789
Intra Cos: 0.3299417197704315
Inter Cos: -0.12144415080547333
Norm Quadratic Average: 0.5051045417785645
Nearest Class Center Accuracy: 0.73

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8669114112854004
Intra Cos: 0.35053738951683044
Inter Cos: -0.09796348214149475
Norm Quadratic Average: 2.481494665145874
Nearest Class Center Accuracy: 0.727

Output Layer:
Intra Cos: 0.3578049838542938
Inter Cos: -0.09045010060071945
Norm Quadratic Average: 4.088813781738281
Nearest Class Center Accuracy: 0.727

