Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.459046363830566
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.439640998840332
Linear Weight Rank: 179
Intra Cos: 0.11913049221038818
Inter Cos: 0.007643402088433504
Norm Quadratic Average: 5.200078010559082
Nearest Class Center Accuracy: 0.925125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.436714172363281
Linear Weight Rank: 179
Intra Cos: 0.45172178745269775
Inter Cos: 0.03142416477203369
Norm Quadratic Average: 4.194406986236572
Nearest Class Center Accuracy: 0.946625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.493281364440918
Linear Weight Rank: 179
Intra Cos: 0.6366731524467468
Inter Cos: 0.06304256618022919
Norm Quadratic Average: 6.056586265563965
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.472312927246094
Linear Weight Rank: 179
Intra Cos: 0.6797630190849304
Inter Cos: 0.08466836810112
Norm Quadratic Average: 9.282486915588379
Nearest Class Center Accuracy: 0.944

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0081231594085693
Linear Weight Rank: 4
Intra Cos: 0.6824551820755005
Inter Cos: 0.08388432115316391
Norm Quadratic Average: 14.06023120880127
Nearest Class Center Accuracy: 0.950875

Output Layer:
Intra Cos: 0.7699202299118042
Inter Cos: 0.07452157139778137
Norm Quadratic Average: 26.154096603393555
Nearest Class Center Accuracy: 0.96125

Test Set:
Average Loss: 0.059969914197921755
Accuracy: 0.9745
NC1 Within Class Collapse: 1.5719127655029297
NC2 Equinorm: Features: 0.0432998351752758, Weights: 0.06516808271408081
NC2 Equiangle: Features: 0.4298795859018962, Weights: 0.3724696636199951
NC3 Self-Duality: 0.14449633657932281
NC4 NCC Mismatch: 0.05400000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.459046363830566
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 8.439640998840332
Linear Weight Rank: 179
Intra Cos: 0.11709804087877274
Inter Cos: 0.0058041722513735294
Norm Quadratic Average: 5.194438457489014
Nearest Class Center Accuracy: 0.925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.436714172363281
Linear Weight Rank: 179
Intra Cos: 0.44054391980171204
Inter Cos: 0.026676611974835396
Norm Quadratic Average: 4.210803031921387
Nearest Class Center Accuracy: 0.938

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.493281364440918
Linear Weight Rank: 179
Intra Cos: 0.6146942377090454
Inter Cos: 0.06023601442575455
Norm Quadratic Average: 6.086738586425781
Nearest Class Center Accuracy: 0.9285

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.472312927246094
Linear Weight Rank: 179
Intra Cos: 0.6546636819839478
Inter Cos: 0.08116786181926727
Norm Quadratic Average: 9.331908226013184
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0081231594085693
Linear Weight Rank: 4
Intra Cos: 0.6550754308700562
Inter Cos: 0.07879997789859772
Norm Quadratic Average: 14.114432334899902
Nearest Class Center Accuracy: 0.9375

Output Layer:
Intra Cos: 0.7337950468063354
Inter Cos: 0.07490859180688858
Norm Quadratic Average: 26.19584846496582
Nearest Class Center Accuracy: 0.949

