Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.164407730102539
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222444586455822
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.344621658325195
Linear Weight Rank: 180
Intra Cos: 0.025958865880966187
Inter Cos: -0.002981810364872217
Norm Quadratic Average: 14.118736267089844
Nearest Class Center Accuracy: 0.5865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.298752784729004
Linear Weight Rank: 179
Intra Cos: 0.02621925063431263
Inter Cos: -0.0022493067663162947
Norm Quadratic Average: 14.098584175109863
Nearest Class Center Accuracy: 0.626

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.19751262664795
Linear Weight Rank: 179
Intra Cos: 0.03132288530468941
Inter Cos: -0.00416029617190361
Norm Quadratic Average: 14.0582914352417
Nearest Class Center Accuracy: 0.68625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.172569274902344
Linear Weight Rank: 180
Intra Cos: 0.03938363119959831
Inter Cos: -0.008266456425189972
Norm Quadratic Average: 14.0247163772583
Nearest Class Center Accuracy: 0.76925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167491912841797
Linear Weight Rank: 179
Intra Cos: 0.054825183004140854
Inter Cos: -0.011488236486911774
Norm Quadratic Average: 14.008508682250977
Nearest Class Center Accuracy: 0.885

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128767967224121
Linear Weight Rank: 180
Intra Cos: 0.08927800506353378
Inter Cos: -0.018474318087100983
Norm Quadratic Average: 13.987435340881348
Nearest Class Center Accuracy: 0.97375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114018440246582
Linear Weight Rank: 179
Intra Cos: 0.17507973313331604
Inter Cos: -0.0444641038775444
Norm Quadratic Average: 13.97125244140625
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.34724497795105
Linear Weight Rank: 4
Intra Cos: 0.3675689101219177
Inter Cos: -0.10850995033979416
Norm Quadratic Average: 14.161320686340332
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9133321642875671
Inter Cos: -0.21911439299583435
Norm Quadratic Average: 11.45709228515625
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3757227935791017
Accuracy: 0.6935
NC1 Within Class Collapse: 4.014275550842285
NC2 Equinorm: Features: 0.05153810605406761, Weights: 0.03505325689911842
NC2 Equiangle: Features: 0.07799782852331798, Weights: 0.08884886900583903
NC3 Self-Duality: 0.1988382637500763
NC4 NCC Mismatch: 0.03849999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.164407730102539
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723118543625
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.344621658325195
Linear Weight Rank: 180
Intra Cos: 0.024366457015275955
Inter Cos: -0.002259261906147003
Norm Quadratic Average: 14.179681777954102
Nearest Class Center Accuracy: 0.576

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.298752784729004
Linear Weight Rank: 179
Intra Cos: 0.023648802191019058
Inter Cos: -0.001557498355396092
Norm Quadratic Average: 14.1305570602417
Nearest Class Center Accuracy: 0.6205

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.19751262664795
Linear Weight Rank: 179
Intra Cos: 0.02670956589281559
Inter Cos: -0.0032042518723756075
Norm Quadratic Average: 14.021987915039062
Nearest Class Center Accuracy: 0.659

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.172569274902344
Linear Weight Rank: 180
Intra Cos: 0.02862987481057644
Inter Cos: -0.005885500926524401
Norm Quadratic Average: 13.904789924621582
Nearest Class Center Accuracy: 0.664

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167491912841797
Linear Weight Rank: 179
Intra Cos: 0.03194093704223633
Inter Cos: -0.006451655179262161
Norm Quadratic Average: 13.783232688903809
Nearest Class Center Accuracy: 0.6915

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128767967224121
Linear Weight Rank: 180
Intra Cos: 0.04122220352292061
Inter Cos: -0.007156529929488897
Norm Quadratic Average: 13.633196830749512
Nearest Class Center Accuracy: 0.701

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114018440246582
Linear Weight Rank: 179
Intra Cos: 0.06505823135375977
Inter Cos: -0.012753283604979515
Norm Quadratic Average: 13.374201774597168
Nearest Class Center Accuracy: 0.7145

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.34724497795105
Linear Weight Rank: 4
Intra Cos: 0.1199684590101242
Inter Cos: -0.03097016178071499
Norm Quadratic Average: 13.028694152832031
Nearest Class Center Accuracy: 0.7055

Output Layer:
Intra Cos: 0.3702029883861542
Inter Cos: -0.08914969861507416
Norm Quadratic Average: 9.62684440612793
Nearest Class Center Accuracy: 0.694

