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_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.974029064178467
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: 7.987868309020996
Linear Weight Rank: 179
Intra Cos: 0.02364499308168888
Inter Cos: -0.002572685480117798
Norm Quadratic Average: 4.740635395050049
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.006908416748047
Linear Weight Rank: 179
Intra Cos: 0.01722140610218048
Inter Cos: -0.0005719890468753874
Norm Quadratic Average: 1.6401405334472656
Nearest Class Center Accuracy: 0.53675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949549198150635
Linear Weight Rank: 179
Intra Cos: 0.01424996368587017
Inter Cos: 0.0025280516128987074
Norm Quadratic Average: 0.5933238863945007
Nearest Class Center Accuracy: 0.494625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9586663246154785
Linear Weight Rank: 180
Intra Cos: 0.016477201133966446
Inter Cos: 0.00639519514515996
Norm Quadratic Average: 0.2242116928100586
Nearest Class Center Accuracy: 0.487875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979946613311768
Linear Weight Rank: 179
Intra Cos: 0.015434486791491508
Inter Cos: 0.005004166625440121
Norm Quadratic Average: 0.08879941701889038
Nearest Class Center Accuracy: 0.473875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959328651428223
Linear Weight Rank: 180
Intra Cos: 0.016521170735359192
Inter Cos: 0.006766883656382561
Norm Quadratic Average: 0.03328173607587814
Nearest Class Center Accuracy: 0.452625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953858852386475
Linear Weight Rank: 179
Intra Cos: 0.01547337882220745
Inter Cos: 0.00969424657523632
Norm Quadratic Average: 0.013878981582820415
Nearest Class Center Accuracy: 0.435875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1711963415145874
Linear Weight Rank: 4
Intra Cos: 0.015713173896074295
Inter Cos: 0.011228187941014767
Norm Quadratic Average: 0.005736547987908125
Nearest Class Center Accuracy: 0.432125

Output Layer:
Intra Cos: 0.027969028800725937
Inter Cos: 0.02654249593615532
Norm Quadratic Average: 0.0006444542668759823
Nearest Class Center Accuracy: 0.403375

Test Set:
Average Loss: 1.3866957817077636
Accuracy: 0.255
NC1 Within Class Collapse: 40.94709777832031
NC2 Equinorm: Features: 0.3800388276576996, Weights: 0.024131523445248604
NC2 Equiangle: Features: 0.24108429749806723, Weights: 0.34464438756306964
NC3 Self-Duality: 1.5876591205596924
NC4 NCC Mismatch: 0.6485000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.974029064178467
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: 7.987868309020996
Linear Weight Rank: 179
Intra Cos: 0.023378213867545128
Inter Cos: -0.0016095346072688699
Norm Quadratic Average: 4.753462791442871
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.006908416748047
Linear Weight Rank: 179
Intra Cos: 0.01650552824139595
Inter Cos: 5.3477480832953006e-05
Norm Quadratic Average: 1.6409002542495728
Nearest Class Center Accuracy: 0.547

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949549198150635
Linear Weight Rank: 179
Intra Cos: 0.012601432390511036
Inter Cos: 0.0035187117755413055
Norm Quadratic Average: 0.5931013822555542
Nearest Class Center Accuracy: 0.5115

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9586663246154785
Linear Weight Rank: 180
Intra Cos: 0.013088006526231766
Inter Cos: 0.0074505130760371685
Norm Quadratic Average: 0.22395968437194824
Nearest Class Center Accuracy: 0.4975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.979946613311768
Linear Weight Rank: 179
Intra Cos: 0.012226070277392864
Inter Cos: 0.006384966429322958
Norm Quadratic Average: 0.08870956301689148
Nearest Class Center Accuracy: 0.4925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.959328651428223
Linear Weight Rank: 180
Intra Cos: 0.013121637515723705
Inter Cos: 0.009317103773355484
Norm Quadratic Average: 0.03321968764066696
Nearest Class Center Accuracy: 0.4685

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.953858852386475
Linear Weight Rank: 179
Intra Cos: 0.012590420432388783
Inter Cos: 0.010869987308979034
Norm Quadratic Average: 0.013860260136425495
Nearest Class Center Accuracy: 0.457

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1711963415145874
Linear Weight Rank: 4
Intra Cos: 0.011973699554800987
Inter Cos: 0.01191270723938942
Norm Quadratic Average: 0.005734700709581375
Nearest Class Center Accuracy: 0.459

Output Layer:
Intra Cos: 0.019880784675478935
Inter Cos: 0.025212066248059273
Norm Quadratic Average: 0.0006431051879189909
Nearest Class Center Accuracy: 0.4095

