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_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7399683594703674
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: 0.732171893119812
Linear Weight Rank: 180
Intra Cos: 0.023457426577806473
Inter Cos: -0.004864971153438091
Norm Quadratic Average: 0.4419184923171997
Nearest Class Center Accuracy: 0.565125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7314649820327759
Linear Weight Rank: 180
Intra Cos: 0.023769622668623924
Inter Cos: -0.004240643233060837
Norm Quadratic Average: 0.015614503063261509
Nearest Class Center Accuracy: 0.5345

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.736284077167511
Linear Weight Rank: 179
Intra Cos: 0.022023504599928856
Inter Cos: -0.0014031704049557447
Norm Quadratic Average: 0.0005528088076971471
Nearest Class Center Accuracy: 0.521875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.732886791229248
Linear Weight Rank: 180
Intra Cos: 0.02414897456765175
Inter Cos: 0.0014167340705171227
Norm Quadratic Average: 2.0874585970886983e-05
Nearest Class Center Accuracy: 0.484625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7334092259407043
Linear Weight Rank: 180
Intra Cos: 0.022596092894673347
Inter Cos: 0.0027691777795553207
Norm Quadratic Average: 7.761208280498977e-07
Nearest Class Center Accuracy: 0.47

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7362908124923706
Linear Weight Rank: 180
Intra Cos: 0.17668943107128143
Inter Cos: 0.20656123757362366
Norm Quadratic Average: 3.154068295430079e-08
Nearest Class Center Accuracy: 0.431

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7344373464584351
Linear Weight Rank: 179
Intra Cos: 0.9934164881706238
Inter Cos: 0.9939389824867249
Norm Quadratic Average: 1.7661330176110823e-08
Nearest Class Center Accuracy: 0.21175

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11257269233465195
Linear Weight Rank: 4
Intra Cos: 0.9998605847358704
Inter Cos: 0.9998899698257446
Norm Quadratic Average: 2.2335832738917816e-08
Nearest Class Center Accuracy: 0.280875

Output Layer:
Intra Cos: 0.9999999403953552
Inter Cos: 1.000000238418579
Norm Quadratic Average: 4.165001143974223e-08
Nearest Class Center Accuracy: 0.211625

Test Set:
Average Loss: 1.3859475555419922
Accuracy: 0.255
NC1 Within Class Collapse: 2.31711745262146
NC2 Equinorm: Features: 0.1061224713921547, Weights: 0.059200435876846313
NC2 Equiangle: Features: 0.37637507915496826, Weights: 0.27392961581548053
NC3 Self-Duality: 1.628180980682373
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7399683594703674
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: 0.732171893119812
Linear Weight Rank: 180
Intra Cos: 0.022195056080818176
Inter Cos: -0.0042612324468791485
Norm Quadratic Average: 0.440865159034729
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7314649820327759
Linear Weight Rank: 180
Intra Cos: 0.02294877916574478
Inter Cos: -0.0045424350537359715
Norm Quadratic Average: 0.015541774220764637
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.736284077167511
Linear Weight Rank: 179
Intra Cos: 0.021600229665637016
Inter Cos: -0.0012216531904414296
Norm Quadratic Average: 0.0005504127475433052
Nearest Class Center Accuracy: 0.537

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.732886791229248
Linear Weight Rank: 180
Intra Cos: 0.023491976782679558
Inter Cos: 0.00182817573659122
Norm Quadratic Average: 2.0716472135973163e-05
Nearest Class Center Accuracy: 0.4985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7334092259407043
Linear Weight Rank: 180
Intra Cos: 0.021029086783528328
Inter Cos: 0.0030888370238244534
Norm Quadratic Average: 7.712517344771186e-07
Nearest Class Center Accuracy: 0.476

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7362908124923706
Linear Weight Rank: 180
Intra Cos: 0.038397885859012604
Inter Cos: 0.03379164636135101
Norm Quadratic Average: 2.8985562394723274e-08
Nearest Class Center Accuracy: 0.458

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7344373464584351
Linear Weight Rank: 179
Intra Cos: 0.9371123313903809
Inter Cos: 0.9407221078872681
Norm Quadratic Average: 5.693938653905661e-09
Nearest Class Center Accuracy: 0.2415

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.11257269233465195
Linear Weight Rank: 4
Intra Cos: 0.9980475306510925
Inter Cos: 0.9985387921333313
Norm Quadratic Average: 6.087143233912684e-09
Nearest Class Center Accuracy: 0.227

Output Layer:
Intra Cos: 0.9999999403953552
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 8.007207696891783e-08
Nearest Class Center Accuracy: 0.227

