Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.32397174835205
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.344743728637695
Linear Weight Rank: 179
Intra Cos: 0.02717205137014389
Inter Cos: -0.003961553331464529
Norm Quadratic Average: 4.9904632568359375
Nearest Class Center Accuracy: 0.58975

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.36566162109375
Linear Weight Rank: 179
Intra Cos: 0.06339729577302933
Inter Cos: -0.013124308548867702
Norm Quadratic Average: 2.4975640773773193
Nearest Class Center Accuracy: 0.6825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.316933631896973
Linear Weight Rank: 179
Intra Cos: 0.16319899260997772
Inter Cos: -0.022296242415905
Norm Quadratic Average: 1.8572596311569214
Nearest Class Center Accuracy: 0.717

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.337849617004395
Linear Weight Rank: 179
Intra Cos: 0.2619153559207916
Inter Cos: -0.0157966036349535
Norm Quadratic Average: 2.107109546661377
Nearest Class Center Accuracy: 0.728875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.584233045578003
Linear Weight Rank: 4
Intra Cos: 0.30661532282829285
Inter Cos: -0.007763680070638657
Norm Quadratic Average: 2.7370874881744385
Nearest Class Center Accuracy: 0.723125

Output Layer:
Intra Cos: 0.34279030561447144
Inter Cos: 0.009628914296627045
Norm Quadratic Average: 3.8263983726501465
Nearest Class Center Accuracy: 0.7035

Test Set:
Average Loss: 0.7115794105529785
Accuracy: 0.703
NC1 Within Class Collapse: 5.8893632888793945
NC2 Equinorm: Features: 0.13376715779304504, Weights: 0.04933866485953331
NC2 Equiangle: Features: 0.26832133531570435, Weights: 0.15729955832163492
NC3 Self-Duality: 0.16297900676727295
NC4 NCC Mismatch: 0.08150000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.32397174835205
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 8.344743728637695
Linear Weight Rank: 179
Intra Cos: 0.02702488750219345
Inter Cos: -0.0029646321199834347
Norm Quadratic Average: 5.001809597015381
Nearest Class Center Accuracy: 0.5905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.36566162109375
Linear Weight Rank: 179
Intra Cos: 0.05678468570113182
Inter Cos: -0.008181857876479626
Norm Quadratic Average: 2.492189407348633
Nearest Class Center Accuracy: 0.6675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.316933631896973
Linear Weight Rank: 179
Intra Cos: 0.14049792289733887
Inter Cos: -0.021941307932138443
Norm Quadratic Average: 1.8371354341506958
Nearest Class Center Accuracy: 0.6935

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.337849617004395
Linear Weight Rank: 179
Intra Cos: 0.22504892945289612
Inter Cos: -0.021005239337682724
Norm Quadratic Average: 2.076970338821411
Nearest Class Center Accuracy: 0.7005

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.584233045578003
Linear Weight Rank: 4
Intra Cos: 0.2691383957862854
Inter Cos: -0.012766147032380104
Norm Quadratic Average: 2.6994237899780273
Nearest Class Center Accuracy: 0.6945

Output Layer:
Intra Cos: 0.30632755160331726
Inter Cos: 0.005809253081679344
Norm Quadratic Average: 3.776066303253174
Nearest Class Center Accuracy: 0.6705

