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_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9621450901031494
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: 3.0170605182647705
Linear Weight Rank: 179
Intra Cos: 0.07808598130941391
Inter Cos: 0.005722669884562492
Norm Quadratic Average: 5.062646389007568
Nearest Class Center Accuracy: 0.88975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9694676399230957
Linear Weight Rank: 179
Intra Cos: 0.1359340250492096
Inter Cos: 0.0023466581478714943
Norm Quadratic Average: 5.044783115386963
Nearest Class Center Accuracy: 0.955625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9285452365875244
Linear Weight Rank: 179
Intra Cos: 0.20518377423286438
Inter Cos: -0.0008348189294338226
Norm Quadratic Average: 5.0271196365356445
Nearest Class Center Accuracy: 0.98675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9250950813293457
Linear Weight Rank: 179
Intra Cos: 0.4002247154712677
Inter Cos: -0.042178183794021606
Norm Quadratic Average: 5.005881309509277
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8499016761779785
Linear Weight Rank: 4
Intra Cos: 0.8400530815124512
Inter Cos: -0.1938583254814148
Norm Quadratic Average: 5.333096981048584
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9885556697845459
Inter Cos: -0.21488265693187714
Norm Quadratic Average: 5.094223499298096
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.21228870439529418
Accuracy: 0.913
NC1 Within Class Collapse: 0.7585201263427734
NC2 Equinorm: Features: 0.014315696433186531, Weights: 0.022951379418373108
NC2 Equiangle: Features: 0.18113555510838827, Weights: 0.029647961258888245
NC3 Self-Duality: 0.10073928534984589
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9621450901031494
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: 3.0170605182647705
Linear Weight Rank: 179
Intra Cos: 0.07649222016334534
Inter Cos: 0.0021313829347491264
Norm Quadratic Average: 5.058471202850342
Nearest Class Center Accuracy: 0.8975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9694676399230957
Linear Weight Rank: 179
Intra Cos: 0.12942752242088318
Inter Cos: 0.008316079154610634
Norm Quadratic Average: 5.0425944328308105
Nearest Class Center Accuracy: 0.926

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9285452365875244
Linear Weight Rank: 179
Intra Cos: 0.18238842487335205
Inter Cos: 0.00857590977102518
Norm Quadratic Average: 5.027446746826172
Nearest Class Center Accuracy: 0.923

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9250950813293457
Linear Weight Rank: 179
Intra Cos: 0.3207125663757324
Inter Cos: -0.014592125080525875
Norm Quadratic Average: 4.953979015350342
Nearest Class Center Accuracy: 0.9235

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8499016761779785
Linear Weight Rank: 4
Intra Cos: 0.6313451528549194
Inter Cos: -0.0889284610748291
Norm Quadratic Average: 4.97539758682251
Nearest Class Center Accuracy: 0.9155

Output Layer:
Intra Cos: 0.7887493371963501
Inter Cos: -0.09773798286914825
Norm Quadratic Average: 4.6431708335876465
Nearest Class Center Accuracy: 0.917

