Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.109218120574951
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.091578960418701
Linear Weight Rank: 180
Intra Cos: 0.07158446311950684
Inter Cos: 0.00233480054885149
Norm Quadratic Average: 12.036619186401367
Nearest Class Center Accuracy: 0.863125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0421648025512695
Linear Weight Rank: 179
Intra Cos: 0.11005200445652008
Inter Cos: 0.001869496307335794
Norm Quadratic Average: 11.987683296203613
Nearest Class Center Accuracy: 0.92325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0446457862854
Linear Weight Rank: 180
Intra Cos: 0.12811332941055298
Inter Cos: -0.002058019395917654
Norm Quadratic Average: 11.952288627624512
Nearest Class Center Accuracy: 0.931875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.007036209106445
Linear Weight Rank: 179
Intra Cos: 0.1552126407623291
Inter Cos: 0.0012460657162591815
Norm Quadratic Average: 11.914487838745117
Nearest Class Center Accuracy: 0.973

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.017290115356445
Linear Weight Rank: 179
Intra Cos: 0.20103594660758972
Inter Cos: -0.0028471769765019417
Norm Quadratic Average: 11.911236763000488
Nearest Class Center Accuracy: 0.990125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.993785858154297
Linear Weight Rank: 179
Intra Cos: 0.25738734006881714
Inter Cos: -0.023799153044819832
Norm Quadratic Average: 11.905322074890137
Nearest Class Center Accuracy: 0.998625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.990029811859131
Linear Weight Rank: 180
Intra Cos: 0.3572925925254822
Inter Cos: -0.03764057159423828
Norm Quadratic Average: 11.95742130279541
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9265923500061035
Linear Weight Rank: 4
Intra Cos: 0.5392374396324158
Inter Cos: -0.11076673865318298
Norm Quadratic Average: 12.142045974731445
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9698294997215271
Inter Cos: -0.1410551518201828
Norm Quadratic Average: 9.410561561584473
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3393518352508545
Accuracy: 0.8895
NC1 Within Class Collapse: 1.1016958951950073
NC2 Equinorm: Features: 0.01385289803147316, Weights: 0.05026909336447716
NC2 Equiangle: Features: 0.21673476696014404, Weights: 0.11303869883219402
NC3 Self-Duality: 0.20968416333198547
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.109218120574951
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.091578960418701
Linear Weight Rank: 180
Intra Cos: 0.07265036553144455
Inter Cos: 0.003739497158676386
Norm Quadratic Average: 12.01536750793457
Nearest Class Center Accuracy: 0.8675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0421648025512695
Linear Weight Rank: 179
Intra Cos: 0.10556704550981522
Inter Cos: 0.0025723290164023638
Norm Quadratic Average: 11.983634948730469
Nearest Class Center Accuracy: 0.906

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0446457862854
Linear Weight Rank: 180
Intra Cos: 0.12043308466672897
Inter Cos: 0.004702174104750156
Norm Quadratic Average: 11.946879386901855
Nearest Class Center Accuracy: 0.893

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.007036209106445
Linear Weight Rank: 179
Intra Cos: 0.13649380207061768
Inter Cos: 0.0010690559865906835
Norm Quadratic Average: 11.91060733795166
Nearest Class Center Accuracy: 0.8985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.017290115356445
Linear Weight Rank: 179
Intra Cos: 0.16352607309818268
Inter Cos: -0.003624959383159876
Norm Quadratic Average: 11.927687644958496
Nearest Class Center Accuracy: 0.8865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.993785858154297
Linear Weight Rank: 179
Intra Cos: 0.19716408848762512
Inter Cos: -0.009501837193965912
Norm Quadratic Average: 11.880311012268066
Nearest Class Center Accuracy: 0.8865

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.990029811859131
Linear Weight Rank: 180
Intra Cos: 0.2611410319805145
Inter Cos: -0.016092166304588318
Norm Quadratic Average: 11.75615406036377
Nearest Class Center Accuracy: 0.8975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9265923500061035
Linear Weight Rank: 4
Intra Cos: 0.37272214889526367
Inter Cos: -0.041640423238277435
Norm Quadratic Average: 11.579558372497559
Nearest Class Center Accuracy: 0.891

Output Layer:
Intra Cos: 0.7413467168807983
Inter Cos: -0.03732547536492348
Norm Quadratic Average: 8.60013198852539
Nearest Class Center Accuracy: 0.8845

