Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.183795928955078
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 8.183523178100586
Linear Weight Rank: 180
Intra Cos: 0.07382553070783615
Inter Cos: 0.00218461686745286
Norm Quadratic Average: 13.940431594848633
Nearest Class Center Accuracy: 0.862125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1354398727417
Linear Weight Rank: 179
Intra Cos: 0.11485011875629425
Inter Cos: 0.0006553614512085915
Norm Quadratic Average: 13.934061050415039
Nearest Class Center Accuracy: 0.926125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111559867858887
Linear Weight Rank: 180
Intra Cos: 0.15298718214035034
Inter Cos: 0.006460743956267834
Norm Quadratic Average: 13.90418815612793
Nearest Class Center Accuracy: 0.96475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12912654876709
Linear Weight Rank: 180
Intra Cos: 0.21539762616157532
Inter Cos: 0.006811361759901047
Norm Quadratic Average: 13.900455474853516
Nearest Class Center Accuracy: 0.99725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.473670244216919
Linear Weight Rank: 4
Intra Cos: 0.3674406111240387
Inter Cos: -0.03607017546892166
Norm Quadratic Average: 14.083972930908203
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9208141565322876
Inter Cos: -0.06836990267038345
Norm Quadratic Average: 12.454398155212402
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28717798709869385
Accuracy: 0.9015
NC1 Within Class Collapse: 1.4097963571548462
NC2 Equinorm: Features: 0.039793651551008224, Weights: 0.017228305339813232
NC2 Equiangle: Features: 0.312015175819397, Weights: 0.11746905247370402
NC3 Self-Duality: 0.21983081102371216
NC4 NCC Mismatch: 0.026000000000000023

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.183795928955078
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.183523178100586
Linear Weight Rank: 180
Intra Cos: 0.07575954496860504
Inter Cos: 0.004375462420284748
Norm Quadratic Average: 13.929220199584961
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1354398727417
Linear Weight Rank: 179
Intra Cos: 0.11241064965724945
Inter Cos: 0.004910851828753948
Norm Quadratic Average: 13.933539390563965
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111559867858887
Linear Weight Rank: 180
Intra Cos: 0.14353537559509277
Inter Cos: 0.011573408730328083
Norm Quadratic Average: 13.914928436279297
Nearest Class Center Accuracy: 0.913

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12912654876709
Linear Weight Rank: 180
Intra Cos: 0.18552955985069275
Inter Cos: 0.01147085428237915
Norm Quadratic Average: 13.904977798461914
Nearest Class Center Accuracy: 0.9035

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.473670244216919
Linear Weight Rank: 4
Intra Cos: 0.27372851967811584
Inter Cos: -0.013121388852596283
Norm Quadratic Average: 13.916769981384277
Nearest Class Center Accuracy: 0.9085

Output Layer:
Intra Cos: 0.729241669178009
Inter Cos: -0.013182561844587326
Norm Quadratic Average: 12.067249298095703
Nearest Class Center Accuracy: 0.905

