Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0303075313568115
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2933249473571777
Linear Weight Rank: 178
Intra Cos: 0.11034901440143585
Inter Cos: 0.00717671774327755
Norm Quadratic Average: 3.355381727218628
Nearest Class Center Accuracy: 0.931125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.190706253051758
Linear Weight Rank: 179
Intra Cos: 0.15232272446155548
Inter Cos: 0.002918323501944542
Norm Quadratic Average: 3.313931465148926
Nearest Class Center Accuracy: 0.95375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.085998296737671
Linear Weight Rank: 180
Intra Cos: 0.1786734163761139
Inter Cos: -0.005017973016947508
Norm Quadratic Average: 3.303989887237549
Nearest Class Center Accuracy: 0.98825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.009653329849243
Linear Weight Rank: 179
Intra Cos: 0.24674469232559204
Inter Cos: -0.0184308048337698
Norm Quadratic Average: 3.28857421875
Nearest Class Center Accuracy: 0.9975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9637264013290405
Linear Weight Rank: 180
Intra Cos: 0.3704875409603119
Inter Cos: -0.04009639099240303
Norm Quadratic Average: 3.2822468280792236
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9386694431304932
Linear Weight Rank: 179
Intra Cos: 0.6182222366333008
Inter Cos: -0.08789873868227005
Norm Quadratic Average: 3.2748844623565674
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9301629066467285
Linear Weight Rank: 179
Intra Cos: 0.8655447363853455
Inter Cos: -0.13781125843524933
Norm Quadratic Average: 3.2878305912017822
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.840469479560852
Linear Weight Rank: 4
Intra Cos: 0.975906491279602
Inter Cos: -0.27758318185806274
Norm Quadratic Average: 3.7866382598876953
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9976903796195984
Inter Cos: -0.26518169045448303
Norm Quadratic Average: 3.9413135051727295
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.22540525436401368
Accuracy: 0.9235
NC1 Within Class Collapse: 0.535146951675415
NC2 Equinorm: Features: 0.00415504164993763, Weights: 0.026514487341046333
NC2 Equiangle: Features: 0.11071269710858662, Weights: 0.035117462277412415
NC3 Self-Duality: 0.02788282185792923
NC4 NCC Mismatch: 0.0040000000000000036

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0303075313568115
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: 2.2933249473571777
Linear Weight Rank: 178
Intra Cos: 0.10779635608196259
Inter Cos: 0.00806980486959219
Norm Quadratic Average: 3.3552467823028564
Nearest Class Center Accuracy: 0.92

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.190706253051758
Linear Weight Rank: 179
Intra Cos: 0.14813977479934692
Inter Cos: 0.002155282534658909
Norm Quadratic Average: 3.3263111114501953
Nearest Class Center Accuracy: 0.9235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.085998296737671
Linear Weight Rank: 180
Intra Cos: 0.1727530062198639
Inter Cos: -0.006776813417673111
Norm Quadratic Average: 3.311753749847412
Nearest Class Center Accuracy: 0.934

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.009653329849243
Linear Weight Rank: 179
Intra Cos: 0.21317344903945923
Inter Cos: -0.01411568745970726
Norm Quadratic Average: 3.2750401496887207
Nearest Class Center Accuracy: 0.929

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9637264013290405
Linear Weight Rank: 180
Intra Cos: 0.30405959486961365
Inter Cos: -0.025492127984762192
Norm Quadratic Average: 3.2328879833221436
Nearest Class Center Accuracy: 0.9305

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9386694431304932
Linear Weight Rank: 179
Intra Cos: 0.4856276214122772
Inter Cos: -0.05993768572807312
Norm Quadratic Average: 3.1714959144592285
Nearest Class Center Accuracy: 0.926

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9301629066467285
Linear Weight Rank: 179
Intra Cos: 0.6689349412918091
Inter Cos: -0.059460002928972244
Norm Quadratic Average: 3.1287081241607666
Nearest Class Center Accuracy: 0.923

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.840469479560852
Linear Weight Rank: 4
Intra Cos: 0.7781620025634766
Inter Cos: -0.17844301462173462
Norm Quadratic Average: 3.552175521850586
Nearest Class Center Accuracy: 0.9225

Output Layer:
Intra Cos: 0.8079051375389099
Inter Cos: -0.15989215672016144
Norm Quadratic Average: 3.6792714595794678
Nearest Class Center Accuracy: 0.9215

