Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.580893874168396
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 0.6766255497932434
Linear Weight Rank: 174
Intra Cos: 0.21550670266151428
Inter Cos: 0.03548816591501236
Norm Quadratic Average: 0.5685635209083557
Nearest Class Center Accuracy: 0.877125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.486648827791214
Linear Weight Rank: 176
Intra Cos: 0.41337257623672485
Inter Cos: 0.04495381936430931
Norm Quadratic Average: 0.20248618721961975
Nearest Class Center Accuracy: 0.999875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4597322940826416
Linear Weight Rank: 177
Intra Cos: 0.9532228112220764
Inter Cos: 0.04584971442818642
Norm Quadratic Average: 0.25991299748420715
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.62033611536026
Linear Weight Rank: 174
Intra Cos: 0.9908505082130432
Inter Cos: -0.1631184220314026
Norm Quadratic Average: 0.4941277801990509
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.21897554397583
Linear Weight Rank: 3
Intra Cos: 0.9980362057685852
Inter Cos: -0.2937624156475067
Norm Quadratic Average: 2.1696383953094482
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9985309839248657
Inter Cos: -0.264728307723999
Norm Quadratic Average: 2.785001516342163
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.14910499906539917
Accuracy: 0.989
NC1 Within Class Collapse: 0.09621498733758926
NC2 Equinorm: Features: 0.009504113346338272, Weights: 0.019674576818943024
NC2 Equiangle: Features: 0.05770373344421387, Weights: 0.03051486611366272
NC3 Self-Duality: 0.00192561827134341
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.580893874168396
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6766255497932434
Linear Weight Rank: 174
Intra Cos: 0.21428735554218292
Inter Cos: 0.03022102639079094
Norm Quadratic Average: 0.5703742504119873
Nearest Class Center Accuracy: 0.8765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.486648827791214
Linear Weight Rank: 176
Intra Cos: 0.4068417549133301
Inter Cos: 0.055661171674728394
Norm Quadratic Average: 0.20149527490139008
Nearest Class Center Accuracy: 0.9845

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4597322940826416
Linear Weight Rank: 177
Intra Cos: 0.9220988750457764
Inter Cos: 0.06751624494791031
Norm Quadratic Average: 0.25709789991378784
Nearest Class Center Accuracy: 0.987

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.62033611536026
Linear Weight Rank: 174
Intra Cos: 0.9597523212432861
Inter Cos: -0.14111872017383575
Norm Quadratic Average: 0.4867716133594513
Nearest Class Center Accuracy: 0.9885

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.21897554397583
Linear Weight Rank: 3
Intra Cos: 0.9612993597984314
Inter Cos: -0.25552964210510254
Norm Quadratic Average: 2.1305019855499268
Nearest Class Center Accuracy: 0.989

Output Layer:
Intra Cos: 0.9638728499412537
Inter Cos: -0.22802942991256714
Norm Quadratic Average: 2.7330777645111084
Nearest Class Center Accuracy: 0.989

