Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_model_depth_MLP_9_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.901921272277832
Intra Cos: 0.03299567103385925
Inter Cos: -0.0062224422581493855
Norm Quadratic Average: 3.9938883781433105
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 10.543015480041504
Intra Cos: 0.03303291276097298
Inter Cos: -0.0059103756211698055
Norm Quadratic Average: 3.554448127746582
Nearest Class Center Accuracy: 0.647

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.652250289916992
Intra Cos: 0.05098506808280945
Inter Cos: -0.00924234464764595
Norm Quadratic Average: 3.2544596195220947
Nearest Class Center Accuracy: 0.79575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.200540542602539
Intra Cos: 0.12460210174322128
Inter Cos: -0.02440551295876503
Norm Quadratic Average: 2.5510828495025635
Nearest Class Center Accuracy: 0.969125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.496734619140625
Intra Cos: 0.3372756540775299
Inter Cos: -0.09639188647270203
Norm Quadratic Average: 1.7300481796264648
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4145965576171875
Intra Cos: 0.8349979519844055
Inter Cos: -0.13128350675106049
Norm Quadratic Average: 0.8109875917434692
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3763824701309204
Intra Cos: 0.9734477996826172
Inter Cos: -0.1158585324883461
Norm Quadratic Average: 0.6499020457267761
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7309961318969727
Intra Cos: 0.974949061870575
Inter Cos: -0.1339675635099411
Norm Quadratic Average: 0.9546169638633728
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5742251873016357
Intra Cos: 0.9800009727478027
Inter Cos: -0.28490737080574036
Norm Quadratic Average: 3.5751001834869385
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9946317076683044
Inter Cos: -0.26371777057647705
Norm Quadratic Average: 7.326619625091553
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0923360328674316
Accuracy: 0.7665
NC1 Within Class Collapse: 2.4710865020751953
NC2 Equinorm: Features: 0.06346109509468079, Weights: 0.019229214638471603
NC2 Equiangle: Features: 0.04141062001387278, Weights: 0.01479107141494751
NC3 Self-Duality: 0.012146322056651115
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.901921272277832
Intra Cos: 0.030431468039751053
Inter Cos: -0.0045497240498661995
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: 10.543015480041504
Intra Cos: 0.029509712010622025
Inter Cos: -0.004130963236093521
Norm Quadratic Average: 3.55560564994812
Nearest Class Center Accuracy: 0.642

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.652250289916992
Intra Cos: 0.040392763912677765
Inter Cos: -0.0029928016010671854
Norm Quadratic Average: 3.259648084640503
Nearest Class Center Accuracy: 0.715

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.200540542602539
Intra Cos: 0.07903274148702621
Inter Cos: -0.0034887592773884535
Norm Quadratic Average: 2.508769989013672
Nearest Class Center Accuracy: 0.7605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.496734619140625
Intra Cos: 0.17267251014709473
Inter Cos: -0.026930715888738632
Norm Quadratic Average: 1.5904620885849
Nearest Class Center Accuracy: 0.7695

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4145965576171875
Intra Cos: 0.37980642914772034
Inter Cos: -0.03622050955891609
Norm Quadratic Average: 0.7101652026176453
Nearest Class Center Accuracy: 0.759

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.3763824701309204
Intra Cos: 0.3967016041278839
Inter Cos: -0.03734908998012543
Norm Quadratic Average: 0.5682766437530518
Nearest Class Center Accuracy: 0.7655

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7309961318969727
Intra Cos: 0.389194518327713
Inter Cos: -0.05354848504066467
Norm Quadratic Average: 0.8348188400268555
Nearest Class Center Accuracy: 0.765

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.5742251873016357
Intra Cos: 0.42818042635917664
Inter Cos: -0.10897783935070038
Norm Quadratic Average: 3.1589999198913574
Nearest Class Center Accuracy: 0.767

Output Layer:
Intra Cos: 0.4471920430660248
Inter Cos: -0.12326700240373611
Norm Quadratic Average: 6.404837131500244
Nearest Class Center Accuracy: 0.767

