Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.819905757904053
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.998064041137695
Linear Weight Rank: 179
Intra Cos: 0.025807026773691177
Inter Cos: -0.0027817008085548878
Norm Quadratic Average: 13.52298355102539
Nearest Class Center Accuracy: 0.583

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953600883483887
Linear Weight Rank: 179
Intra Cos: 0.025928359478712082
Inter Cos: -0.001796757336705923
Norm Quadratic Average: 13.495116233825684
Nearest Class Center Accuracy: 0.622125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.855527400970459
Linear Weight Rank: 179
Intra Cos: 0.03053959272801876
Inter Cos: -0.003559142118319869
Norm Quadratic Average: 13.454415321350098
Nearest Class Center Accuracy: 0.67875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829683303833008
Linear Weight Rank: 180
Intra Cos: 0.03945915773510933
Inter Cos: -0.007941330783069134
Norm Quadratic Average: 13.452669143676758
Nearest Class Center Accuracy: 0.76175

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82346248626709
Linear Weight Rank: 180
Intra Cos: 0.05435176566243172
Inter Cos: -0.009983872063457966
Norm Quadratic Average: 13.415321350097656
Nearest Class Center Accuracy: 0.873125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.785600185394287
Linear Weight Rank: 180
Intra Cos: 0.08825358003377914
Inter Cos: -0.0177584420889616
Norm Quadratic Average: 13.394451141357422
Nearest Class Center Accuracy: 0.972375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771184921264648
Linear Weight Rank: 179
Intra Cos: 0.17489005625247955
Inter Cos: -0.04380590468645096
Norm Quadratic Average: 13.38138198852539
Nearest Class Center Accuracy: 0.99975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.300973653793335
Linear Weight Rank: 4
Intra Cos: 0.37772536277770996
Inter Cos: -0.11227227002382278
Norm Quadratic Average: 13.553170204162598
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9147962927818298
Inter Cos: -0.22533442080020905
Norm Quadratic Average: 10.947689056396484
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3055966453552246
Accuracy: 0.696
NC1 Within Class Collapse: 3.908266544342041
NC2 Equinorm: Features: 0.050566453486680984, Weights: 0.033892013132572174
NC2 Equiangle: Features: 0.07762608925501506, Weights: 0.08499124646186829
NC3 Self-Duality: 0.19242815673351288
NC4 NCC Mismatch: 0.03649999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.819905757904053
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 7.998064041137695
Linear Weight Rank: 179
Intra Cos: 0.024321530014276505
Inter Cos: -0.0021310916636139154
Norm Quadratic Average: 13.577530860900879
Nearest Class Center Accuracy: 0.5775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953600883483887
Linear Weight Rank: 179
Intra Cos: 0.023160647600889206
Inter Cos: -0.0011553274234756827
Norm Quadratic Average: 13.51874828338623
Nearest Class Center Accuracy: 0.6185

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.855527400970459
Linear Weight Rank: 179
Intra Cos: 0.02586323395371437
Inter Cos: -0.002595399972051382
Norm Quadratic Average: 13.436013221740723
Nearest Class Center Accuracy: 0.6495

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.829683303833008
Linear Weight Rank: 180
Intra Cos: 0.02889161929488182
Inter Cos: -0.006097133737057447
Norm Quadratic Average: 13.374074935913086
Nearest Class Center Accuracy: 0.6685

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.82346248626709
Linear Weight Rank: 180
Intra Cos: 0.03159063309431076
Inter Cos: -0.005915938410907984
Norm Quadratic Average: 13.229110717773438
Nearest Class Center Accuracy: 0.6875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.785600185394287
Linear Weight Rank: 180
Intra Cos: 0.04052172973752022
Inter Cos: -0.005287207197397947
Norm Quadratic Average: 13.073288917541504
Nearest Class Center Accuracy: 0.7025

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771184921264648
Linear Weight Rank: 179
Intra Cos: 0.06561915576457977
Inter Cos: -0.010445616208016872
Norm Quadratic Average: 12.779555320739746
Nearest Class Center Accuracy: 0.7015

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.300973653793335
Linear Weight Rank: 4
Intra Cos: 0.12561611831188202
Inter Cos: -0.02772761695086956
Norm Quadratic Average: 12.42015552520752
Nearest Class Center Accuracy: 0.7

Output Layer:
Intra Cos: 0.3705357611179352
Inter Cos: -0.07897860556840897
Norm Quadratic Average: 9.164332389831543
Nearest Class Center Accuracy: 0.6985

