Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.432477951049805
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 7.349243640899658
Linear Weight Rank: 179
Intra Cos: 0.03366195037961006
Inter Cos: -0.005196765065193176
Norm Quadratic Average: 4.405848979949951
Nearest Class Center Accuracy: 0.603375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.339393138885498
Linear Weight Rank: 179
Intra Cos: 0.0926119014620781
Inter Cos: -0.008733545430004597
Norm Quadratic Average: 2.195075273513794
Nearest Class Center Accuracy: 0.655375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.366430282592773
Linear Weight Rank: 180
Intra Cos: 0.18443693220615387
Inter Cos: -0.02519502118229866
Norm Quadratic Average: 1.7836847305297852
Nearest Class Center Accuracy: 0.66925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.35723876953125
Linear Weight Rank: 179
Intra Cos: 0.23533108830451965
Inter Cos: -0.04726633429527283
Norm Quadratic Average: 1.9610998630523682
Nearest Class Center Accuracy: 0.678125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3745222091674805
Linear Weight Rank: 4
Intra Cos: 0.26736101508140564
Inter Cos: -0.020335186272859573
Norm Quadratic Average: 2.3178067207336426
Nearest Class Center Accuracy: 0.678875

Output Layer:
Intra Cos: 0.27946358919143677
Inter Cos: 0.027838442474603653
Norm Quadratic Average: 2.9077494144439697
Nearest Class Center Accuracy: 0.67175

Test Set:
Average Loss: 0.7922990074157715
Accuracy: 0.6655
NC1 Within Class Collapse: 6.671785354614258
NC2 Equinorm: Features: 0.17313750088214874, Weights: 0.02752269059419632
NC2 Equiangle: Features: 0.2297703425089518, Weights: 0.1029078761736552
NC3 Self-Duality: 0.1826053112745285
NC4 NCC Mismatch: 0.09799999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.432477951049805
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: 7.349243640899658
Linear Weight Rank: 179
Intra Cos: 0.030371252447366714
Inter Cos: -0.0046236878260970116
Norm Quadratic Average: 4.409425735473633
Nearest Class Center Accuracy: 0.6015

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.339393138885498
Linear Weight Rank: 179
Intra Cos: 0.08529725670814514
Inter Cos: -0.002016358310356736
Norm Quadratic Average: 2.195335865020752
Nearest Class Center Accuracy: 0.642

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.366430282592773
Linear Weight Rank: 180
Intra Cos: 0.1730809211730957
Inter Cos: -0.007277738768607378
Norm Quadratic Average: 1.7817997932434082
Nearest Class Center Accuracy: 0.655

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.35723876953125
Linear Weight Rank: 179
Intra Cos: 0.216375932097435
Inter Cos: -0.023530790582299232
Norm Quadratic Average: 1.955935001373291
Nearest Class Center Accuracy: 0.657

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3745222091674805
Linear Weight Rank: 4
Intra Cos: 0.23456571996212006
Inter Cos: -0.015101263299584389
Norm Quadratic Average: 2.306530475616455
Nearest Class Center Accuracy: 0.6605

Output Layer:
Intra Cos: 0.24400641024112701
Inter Cos: 0.02534475177526474
Norm Quadratic Average: 2.888232469558716
Nearest Class Center Accuracy: 0.648

