Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.122799873352051
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
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: 5.056467533111572
Linear Weight Rank: 179
Intra Cos: 0.02865048311650753
Inter Cos: -0.003978964872658253
Norm Quadratic Average: 3.003525495529175
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.044841766357422
Linear Weight Rank: 179
Intra Cos: 0.026499373838305473
Inter Cos: -0.003989064134657383
Norm Quadratic Average: 0.7070339918136597
Nearest Class Center Accuracy: 0.53625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060456275939941
Linear Weight Rank: 180
Intra Cos: 0.023537561297416687
Inter Cos: -0.003035198198631406
Norm Quadratic Average: 0.1661960333585739
Nearest Class Center Accuracy: 0.53875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042921543121338
Linear Weight Rank: 180
Intra Cos: 0.023795872926712036
Inter Cos: -0.0014768847031518817
Norm Quadratic Average: 0.0396365262567997
Nearest Class Center Accuracy: 0.515375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.056419372558594
Linear Weight Rank: 180
Intra Cos: 0.022336125373840332
Inter Cos: 0.0006174104055389762
Norm Quadratic Average: 0.010139558464288712
Nearest Class Center Accuracy: 0.501875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043594837188721
Linear Weight Rank: 180
Intra Cos: 0.02168089896440506
Inter Cos: 0.007002411875873804
Norm Quadratic Average: 0.0025136235635727644
Nearest Class Center Accuracy: 0.48525

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043032169342041
Linear Weight Rank: 180
Intra Cos: 0.02135588973760605
Inter Cos: 0.009812604635953903
Norm Quadratic Average: 0.0005966235767118633
Nearest Class Center Accuracy: 0.46975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.722873866558075
Linear Weight Rank: 4
Intra Cos: 0.02222587913274765
Inter Cos: 0.012000082060694695
Norm Quadratic Average: 0.000155455811182037
Nearest Class Center Accuracy: 0.457

Output Layer:
Intra Cos: 0.005785578396171331
Inter Cos: 0.005469813477247953
Norm Quadratic Average: 7.0214732659223955e-06
Nearest Class Center Accuracy: 0.381875

Test Set:
Average Loss: 1.3865741729736327
Accuracy: 0.255
NC1 Within Class Collapse: 27.489849090576172
NC2 Equinorm: Features: 0.0654100626707077, Weights: 0.05801268666982651
NC2 Equiangle: Features: 0.41496602694193524, Weights: 0.31717673937479657
NC3 Self-Duality: 1.8802361488342285
NC4 NCC Mismatch: 0.7715

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.122799873352051
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 5.056467533111572
Linear Weight Rank: 179
Intra Cos: 0.0259495060890913
Inter Cos: -0.0036948979832232
Norm Quadratic Average: 3.00785231590271
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.044841766357422
Linear Weight Rank: 179
Intra Cos: 0.02420872636139393
Inter Cos: -0.003554228227585554
Norm Quadratic Average: 0.7075098156929016
Nearest Class Center Accuracy: 0.5435

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060456275939941
Linear Weight Rank: 180
Intra Cos: 0.020781757310032845
Inter Cos: -0.0019255243241786957
Norm Quadratic Average: 0.166347935795784
Nearest Class Center Accuracy: 0.556

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042921543121338
Linear Weight Rank: 180
Intra Cos: 0.021147025749087334
Inter Cos: -0.0012164151994511485
Norm Quadratic Average: 0.03956439346075058
Nearest Class Center Accuracy: 0.5225

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.056419372558594
Linear Weight Rank: 180
Intra Cos: 0.01944814622402191
Inter Cos: 0.0014137104153633118
Norm Quadratic Average: 0.010150626301765442
Nearest Class Center Accuracy: 0.4985

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043594837188721
Linear Weight Rank: 180
Intra Cos: 0.01890379749238491
Inter Cos: 0.007122201845049858
Norm Quadratic Average: 0.0025210261810570955
Nearest Class Center Accuracy: 0.48

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043032169342041
Linear Weight Rank: 180
Intra Cos: 0.01784207858145237
Inter Cos: 0.009379280731081963
Norm Quadratic Average: 0.0005996055551804602
Nearest Class Center Accuracy: 0.4635

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.722873866558075
Linear Weight Rank: 4
Intra Cos: 0.020009271800518036
Inter Cos: 0.012406817637383938
Norm Quadratic Average: 0.0001559936790727079
Nearest Class Center Accuracy: 0.4615

Output Layer:
Intra Cos: 0.002434295369312167
Inter Cos: 0.005184903275221586
Norm Quadratic Average: 6.8857848418701906e-06
Nearest Class Center Accuracy: 0.3785

