Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7988563776016235
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 1.9073171615600586
Linear Weight Rank: 179
Intra Cos: 0.09984152764081955
Inter Cos: 0.009143246337771416
Norm Quadratic Average: 3.0058345794677734
Nearest Class Center Accuracy: 0.910375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.822898030281067
Linear Weight Rank: 179
Intra Cos: 0.17601224780082703
Inter Cos: 0.008697737008333206
Norm Quadratic Average: 2.9445977210998535
Nearest Class Center Accuracy: 0.967875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7714385986328125
Linear Weight Rank: 179
Intra Cos: 0.3106665015220642
Inter Cos: -0.007688445970416069
Norm Quadratic Average: 2.9382755756378174
Nearest Class Center Accuracy: 0.998125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7459427118301392
Linear Weight Rank: 179
Intra Cos: 0.6340369582176208
Inter Cos: -0.06661240011453629
Norm Quadratic Average: 2.9482555389404297
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9828212261199951
Linear Weight Rank: 4
Intra Cos: 0.9625979661941528
Inter Cos: -0.2452509105205536
Norm Quadratic Average: 3.5778496265411377
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9975427985191345
Inter Cos: -0.2378246933221817
Norm Quadratic Average: 3.9823944568634033
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.16775012826919555
Accuracy: 0.947
NC1 Within Class Collapse: 0.40155744552612305
NC2 Equinorm: Features: 0.022169385105371475, Weights: 0.021189088001847267
NC2 Equiangle: Features: 0.12608474493026733, Weights: 0.022077883283297222
NC3 Self-Duality: 0.03548881784081459
NC4 NCC Mismatch: 0.0050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7988563776016235
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9073171615600586
Linear Weight Rank: 179
Intra Cos: 0.0988612100481987
Inter Cos: 0.006367299240082502
Norm Quadratic Average: 3.003283739089966
Nearest Class Center Accuracy: 0.9105

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.822898030281067
Linear Weight Rank: 179
Intra Cos: 0.16711126267910004
Inter Cos: 0.008023176342248917
Norm Quadratic Average: 2.951183557510376
Nearest Class Center Accuracy: 0.947

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7714385986328125
Linear Weight Rank: 179
Intra Cos: 0.28959742188453674
Inter Cos: 0.008157830685377121
Norm Quadratic Average: 2.9375271797180176
Nearest Class Center Accuracy: 0.9535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7459427118301392
Linear Weight Rank: 179
Intra Cos: 0.5397608876228333
Inter Cos: -0.02782893180847168
Norm Quadratic Average: 2.889080286026001
Nearest Class Center Accuracy: 0.955

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9828212261199951
Linear Weight Rank: 4
Intra Cos: 0.8104535341262817
Inter Cos: -0.1408693492412567
Norm Quadratic Average: 3.3213858604431152
Nearest Class Center Accuracy: 0.95

Output Layer:
Intra Cos: 0.8565847277641296
Inter Cos: -0.1343870908021927
Norm Quadratic Average: 3.6698951721191406
Nearest Class Center Accuracy: 0.95

