Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.993598937988281
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
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: 8.094781875610352
Linear Weight Rank: 180
Intra Cos: 0.025088807567954063
Inter Cos: -0.0033139565493911505
Norm Quadratic Average: 13.822190284729004
Nearest Class Center Accuracy: 0.585625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.071017265319824
Linear Weight Rank: 179
Intra Cos: 0.027114685624837875
Inter Cos: -0.0030140234157443047
Norm Quadratic Average: 13.809916496276855
Nearest Class Center Accuracy: 0.640625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9808549880981445
Linear Weight Rank: 179
Intra Cos: 0.03758915886282921
Inter Cos: -0.005108564160764217
Norm Quadratic Average: 13.773038864135742
Nearest Class Center Accuracy: 0.74025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969278335571289
Linear Weight Rank: 179
Intra Cos: 0.06340207904577255
Inter Cos: -0.01658676005899906
Norm Quadratic Average: 13.748886108398438
Nearest Class Center Accuracy: 0.937125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.823087453842163
Linear Weight Rank: 4
Intra Cos: 0.19542020559310913
Inter Cos: -0.04687800630927086
Norm Quadratic Average: 13.993000030517578
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8540083765983582
Inter Cos: -0.13415201008319855
Norm Quadratic Average: 11.181373596191406
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0984322242736817
Accuracy: 0.729
NC1 Within Class Collapse: 3.759613513946533
NC2 Equinorm: Features: 0.05468183010816574, Weights: 0.02486751601099968
NC2 Equiangle: Features: 0.11947641770044963, Weights: 0.05474410951137543
NC3 Self-Duality: 0.19431118667125702
NC4 NCC Mismatch: 0.05300000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.993598937988281
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 8.094781875610352
Linear Weight Rank: 180
Intra Cos: 0.024565264582633972
Inter Cos: -0.002652424853295088
Norm Quadratic Average: 13.884594917297363
Nearest Class Center Accuracy: 0.5745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.071017265319824
Linear Weight Rank: 179
Intra Cos: 0.023444926366209984
Inter Cos: -0.0021761846728622913
Norm Quadratic Average: 13.838835716247559
Nearest Class Center Accuracy: 0.6175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9808549880981445
Linear Weight Rank: 179
Intra Cos: 0.028825953602790833
Inter Cos: -0.0017154476372525096
Norm Quadratic Average: 13.78337574005127
Nearest Class Center Accuracy: 0.668

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969278335571289
Linear Weight Rank: 179
Intra Cos: 0.04180678352713585
Inter Cos: -0.005998535547405481
Norm Quadratic Average: 13.665711402893066
Nearest Class Center Accuracy: 0.7125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.823087453842163
Linear Weight Rank: 4
Intra Cos: 0.09313325583934784
Inter Cos: -0.016025051474571228
Norm Quadratic Average: 13.687164306640625
Nearest Class Center Accuracy: 0.738

Output Layer:
Intra Cos: 0.4049563705921173
Inter Cos: -0.06695850938558578
Norm Quadratic Average: 10.31190013885498
Nearest Class Center Accuracy: 0.729

