Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.8028873205184937
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9311461448669434
Linear Weight Rank: 179
Intra Cos: 0.09070433676242828
Inter Cos: 0.002454502508044243
Norm Quadratic Average: 3.0232882499694824
Nearest Class Center Accuracy: 0.914

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8383150100708008
Linear Weight Rank: 179
Intra Cos: 0.1556510180234909
Inter Cos: 0.004780929535627365
Norm Quadratic Average: 2.9678266048431396
Nearest Class Center Accuracy: 0.979125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7637721300125122
Linear Weight Rank: 178
Intra Cos: 0.2641752362251282
Inter Cos: -0.002719178330153227
Norm Quadratic Average: 2.951820135116577
Nearest Class Center Accuracy: 0.998125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7509949207305908
Linear Weight Rank: 179
Intra Cos: 0.5857707858085632
Inter Cos: -0.07187363505363464
Norm Quadratic Average: 2.9576542377471924
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.989101767539978
Linear Weight Rank: 4
Intra Cos: 0.9553049802780151
Inter Cos: -0.2578045129776001
Norm Quadratic Average: 3.579547882080078
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9977843761444092
Inter Cos: -0.25238317251205444
Norm Quadratic Average: 3.9845833778381348
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.18849212217330932
Accuracy: 0.937
NC1 Within Class Collapse: 0.48593974113464355
NC2 Equinorm: Features: 0.008500572293996811, Weights: 0.022886479273438454
NC2 Equiangle: Features: 0.1304384171962738, Weights: 0.020180051525433857
NC3 Self-Duality: 0.03791451454162598
NC4 NCC Mismatch: 0.0030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.8028873205184937
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9311461448669434
Linear Weight Rank: 179
Intra Cos: 0.08939667791128159
Inter Cos: 0.005382740870118141
Norm Quadratic Average: 3.023961305618286
Nearest Class Center Accuracy: 0.9165

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.8383150100708008
Linear Weight Rank: 179
Intra Cos: 0.1484270840883255
Inter Cos: 0.011776711791753769
Norm Quadratic Average: 2.967036008834839
Nearest Class Center Accuracy: 0.9425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7637721300125122
Linear Weight Rank: 178
Intra Cos: 0.23489820957183838
Inter Cos: 0.006922261323779821
Norm Quadratic Average: 2.9466593265533447
Nearest Class Center Accuracy: 0.9455

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7509949207305908
Linear Weight Rank: 179
Intra Cos: 0.483847439289093
Inter Cos: -0.03950301930308342
Norm Quadratic Average: 2.8872921466827393
Nearest Class Center Accuracy: 0.9425

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.989101767539978
Linear Weight Rank: 4
Intra Cos: 0.7768446803092957
Inter Cos: -0.1336434781551361
Norm Quadratic Average: 3.285221576690674
Nearest Class Center Accuracy: 0.938

Output Layer:
Intra Cos: 0.8292959928512573
Inter Cos: -0.12896046042442322
Norm Quadratic Average: 3.6222589015960693
Nearest Class Center Accuracy: 0.938

