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_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03705883026123
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: 7.952427387237549
Linear Weight Rank: 180
Intra Cos: 0.023466305807232857
Inter Cos: -0.004874118138104677
Norm Quadratic Average: 4.799989223480225
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944810390472412
Linear Weight Rank: 180
Intra Cos: 0.022169845178723335
Inter Cos: -0.0029671010561287403
Norm Quadratic Average: 1.7078405618667603
Nearest Class Center Accuracy: 0.531125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.997163772583008
Linear Weight Rank: 179
Intra Cos: 0.017827877774834633
Inter Cos: -0.0030903450679033995
Norm Quadratic Average: 0.624131441116333
Nearest Class Center Accuracy: 0.506375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960296630859375
Linear Weight Rank: 180
Intra Cos: 0.015462299808859825
Inter Cos: 0.000707039434928447
Norm Quadratic Average: 0.23423710465431213
Nearest Class Center Accuracy: 0.492125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9659647941589355
Linear Weight Rank: 180
Intra Cos: 0.01263158768415451
Inter Cos: -0.0019357901765033603
Norm Quadratic Average: 0.09355117380619049
Nearest Class Center Accuracy: 0.459125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9971818923950195
Linear Weight Rank: 180
Intra Cos: 0.013579010032117367
Inter Cos: 0.00297698937356472
Norm Quadratic Average: 0.03854294866323471
Nearest Class Center Accuracy: 0.433875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976760387420654
Linear Weight Rank: 179
Intra Cos: 0.017507238313555717
Inter Cos: 0.002156069502234459
Norm Quadratic Average: 0.016092825680971146
Nearest Class Center Accuracy: 0.430125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.173452615737915
Linear Weight Rank: 4
Intra Cos: 0.0139531958848238
Inter Cos: 0.0013180756941437721
Norm Quadratic Average: 0.006299683358520269
Nearest Class Center Accuracy: 0.42225

Output Layer:
Intra Cos: 0.030449530109763145
Inter Cos: 0.019365981221199036
Norm Quadratic Average: 0.000746388453990221
Nearest Class Center Accuracy: 0.38975

Test Set:
Average Loss: 1.3866405563354491
Accuracy: 0.255
NC1 Within Class Collapse: 30.271827697753906
NC2 Equinorm: Features: 0.27035844326019287, Weights: 0.022550461813807487
NC2 Equiangle: Features: 0.1829610268274943, Weights: 0.29277414083480835
NC3 Self-Duality: 1.5314515829086304
NC4 NCC Mismatch: 0.819

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.03705883026123
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: 7.952427387237549
Linear Weight Rank: 180
Intra Cos: 0.02220153994858265
Inter Cos: -0.004268253222107887
Norm Quadratic Average: 4.7885212898254395
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944810390472412
Linear Weight Rank: 180
Intra Cos: 0.021227167919278145
Inter Cos: -0.003993443213403225
Norm Quadratic Average: 1.6982448101043701
Nearest Class Center Accuracy: 0.538

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.997163772583008
Linear Weight Rank: 179
Intra Cos: 0.016450492665171623
Inter Cos: -0.0015359745593741536
Norm Quadratic Average: 0.6202261447906494
Nearest Class Center Accuracy: 0.502

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960296630859375
Linear Weight Rank: 180
Intra Cos: 0.014559398405253887
Inter Cos: 2.2904336219653487e-05
Norm Quadratic Average: 0.23207497596740723
Nearest Class Center Accuracy: 0.508

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9659647941589355
Linear Weight Rank: 180
Intra Cos: 0.011513783596456051
Inter Cos: -0.0015200566267594695
Norm Quadratic Average: 0.09260279685258865
Nearest Class Center Accuracy: 0.4595

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9971818923950195
Linear Weight Rank: 180
Intra Cos: 0.01149772945791483
Inter Cos: -0.00017324762302450836
Norm Quadratic Average: 0.038069866597652435
Nearest Class Center Accuracy: 0.433

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.976760387420654
Linear Weight Rank: 179
Intra Cos: 0.016169901937246323
Inter Cos: 0.0030426792800426483
Norm Quadratic Average: 0.01583518087863922
Nearest Class Center Accuracy: 0.4215

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.173452615737915
Linear Weight Rank: 4
Intra Cos: 0.013332311064004898
Inter Cos: 0.0004506605037022382
Norm Quadratic Average: 0.006213450338691473
Nearest Class Center Accuracy: 0.4135

Output Layer:
Intra Cos: 0.026735760271549225
Inter Cos: 0.016865871846675873
Norm Quadratic Average: 0.0007352817920036614
Nearest Class Center Accuracy: 0.389

