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_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.142118453979492
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 8.228951454162598
Linear Weight Rank: 180
Intra Cos: 0.02487042173743248
Inter Cos: -0.00447649834677577
Norm Quadratic Average: 13.981416702270508
Nearest Class Center Accuracy: 0.575625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16061019897461
Linear Weight Rank: 179
Intra Cos: 0.02879822812974453
Inter Cos: -0.004417425021529198
Norm Quadratic Average: 13.950580596923828
Nearest Class Center Accuracy: 0.62475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169184684753418
Linear Weight Rank: 180
Intra Cos: 0.03539084270596504
Inter Cos: -0.003804710227996111
Norm Quadratic Average: 13.916868209838867
Nearest Class Center Accuracy: 0.694375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098407745361328
Linear Weight Rank: 180
Intra Cos: 0.04814308136701584
Inter Cos: -0.009257451631128788
Norm Quadratic Average: 13.90552043914795
Nearest Class Center Accuracy: 0.771125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076231002807617
Linear Weight Rank: 180
Intra Cos: 0.05111491307616234
Inter Cos: -0.013887321576476097
Norm Quadratic Average: 13.9063720703125
Nearest Class Center Accuracy: 0.881625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089640617370605
Linear Weight Rank: 179
Intra Cos: 0.08262746781110764
Inter Cos: -0.020180899649858475
Norm Quadratic Average: 13.904437065124512
Nearest Class Center Accuracy: 0.975375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060086250305176
Linear Weight Rank: 179
Intra Cos: 0.14815901219844818
Inter Cos: -0.03539314493536949
Norm Quadratic Average: 13.910025596618652
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.357419490814209
Linear Weight Rank: 4
Intra Cos: 0.3451005220413208
Inter Cos: -0.09088467061519623
Norm Quadratic Average: 14.14322280883789
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9154515862464905
Inter Cos: -0.18680687248706818
Norm Quadratic Average: 11.320740699768066
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3976672897338867
Accuracy: 0.6935
NC1 Within Class Collapse: 4.04975700378418
NC2 Equinorm: Features: 0.0674908310174942, Weights: 0.028348658233880997
NC2 Equiangle: Features: 0.08086893955866496, Weights: 0.07403489947319031
NC3 Self-Duality: 0.19820179045200348
NC4 NCC Mismatch: 0.039000000000000035

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.142118453979492
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228951454162598
Linear Weight Rank: 180
Intra Cos: 0.023281274363398552
Inter Cos: -0.0032592453062534332
Norm Quadratic Average: 13.981213569641113
Nearest Class Center Accuracy: 0.5925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16061019897461
Linear Weight Rank: 179
Intra Cos: 0.025415832176804543
Inter Cos: -0.0022525449749082327
Norm Quadratic Average: 13.902335166931152
Nearest Class Center Accuracy: 0.6105

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169184684753418
Linear Weight Rank: 180
Intra Cos: 0.028684334829449654
Inter Cos: -0.004360235296189785
Norm Quadratic Average: 13.881690979003906
Nearest Class Center Accuracy: 0.638

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098407745361328
Linear Weight Rank: 180
Intra Cos: 0.03609894961118698
Inter Cos: -0.0077360933646559715
Norm Quadratic Average: 13.80903148651123
Nearest Class Center Accuracy: 0.6685

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076231002807617
Linear Weight Rank: 180
Intra Cos: 0.033540066331624985
Inter Cos: -0.005194591823965311
Norm Quadratic Average: 13.758182525634766
Nearest Class Center Accuracy: 0.686

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089640617370605
Linear Weight Rank: 179
Intra Cos: 0.04377733916044235
Inter Cos: -0.007774893194437027
Norm Quadratic Average: 13.557759284973145
Nearest Class Center Accuracy: 0.702

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060086250305176
Linear Weight Rank: 179
Intra Cos: 0.06049185246229172
Inter Cos: -0.012389234267175198
Norm Quadratic Average: 13.27895450592041
Nearest Class Center Accuracy: 0.705

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.357419490814209
Linear Weight Rank: 4
Intra Cos: 0.12019947916269302
Inter Cos: -0.024221880361437798
Norm Quadratic Average: 12.969460487365723
Nearest Class Center Accuracy: 0.6975

Output Layer:
Intra Cos: 0.3721619248390198
Inter Cos: -0.06902676075696945
Norm Quadratic Average: 9.45297908782959
Nearest Class Center Accuracy: 0.6975

