Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.440360069274902
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: 7.480067729949951
Linear Weight Rank: 179
Intra Cos: 0.13071651756763458
Inter Cos: 0.007337578572332859
Norm Quadratic Average: 4.570248603820801
Nearest Class Center Accuracy: 0.94125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.470427513122559
Linear Weight Rank: 179
Intra Cos: 0.5230063199996948
Inter Cos: 0.037641242146492004
Norm Quadratic Average: 3.5876362323760986
Nearest Class Center Accuracy: 0.972375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.457963466644287
Linear Weight Rank: 179
Intra Cos: 0.6873180866241455
Inter Cos: 0.058928780257701874
Norm Quadratic Average: 5.033304691314697
Nearest Class Center Accuracy: 0.969375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.484643936157227
Linear Weight Rank: 179
Intra Cos: 0.7265889644622803
Inter Cos: 0.03581560403108597
Norm Quadratic Average: 7.449986457824707
Nearest Class Center Accuracy: 0.982375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8481733798980713
Linear Weight Rank: 4
Intra Cos: 0.7341009378433228
Inter Cos: 0.02475801669061184
Norm Quadratic Average: 10.624285697937012
Nearest Class Center Accuracy: 0.983375

Output Layer:
Intra Cos: 0.8453772664070129
Inter Cos: 0.07191717624664307
Norm Quadratic Average: 19.228029251098633
Nearest Class Center Accuracy: 0.984125

Test Set:
Average Loss: 0.06483588004112244
Accuracy: 0.9725
NC1 Within Class Collapse: 1.5021164417266846
NC2 Equinorm: Features: 0.04630960151553154, Weights: 0.050024356693029404
NC2 Equiangle: Features: 0.4285229841868083, Weights: 0.3795862595240275
NC3 Self-Duality: 0.09616625308990479
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.440360069274902
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: 7.480067729949951
Linear Weight Rank: 179
Intra Cos: 0.1282578408718109
Inter Cos: 0.0051079243421554565
Norm Quadratic Average: 4.573288440704346
Nearest Class Center Accuracy: 0.934

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.470427513122559
Linear Weight Rank: 179
Intra Cos: 0.5199732780456543
Inter Cos: 0.025645872578024864
Norm Quadratic Average: 3.6239876747131348
Nearest Class Center Accuracy: 0.959

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.457963466644287
Linear Weight Rank: 179
Intra Cos: 0.6911371946334839
Inter Cos: 0.05432271584868431
Norm Quadratic Average: 5.088381767272949
Nearest Class Center Accuracy: 0.9535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.484643936157227
Linear Weight Rank: 179
Intra Cos: 0.7199647426605225
Inter Cos: 0.053816474974155426
Norm Quadratic Average: 7.52515172958374
Nearest Class Center Accuracy: 0.9655

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8481733798980713
Linear Weight Rank: 4
Intra Cos: 0.7432612776756287
Inter Cos: 0.046688295900821686
Norm Quadratic Average: 10.717995643615723
Nearest Class Center Accuracy: 0.966

Output Layer:
Intra Cos: 0.8288026452064514
Inter Cos: 0.05701887607574463
Norm Quadratic Average: 19.346609115600586
Nearest Class Center Accuracy: 0.97

