Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22133716940879822
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 0.22018684446811676
Linear Weight Rank: 179
Intra Cos: 0.05382099002599716
Inter Cos: 0.005734332371503115
Norm Quadratic Average: 0.13112899661064148
Nearest Class Center Accuracy: 0.80675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21970993280410767
Linear Weight Rank: 179
Intra Cos: 0.05797761306166649
Inter Cos: 0.010499414056539536
Norm Quadratic Average: 0.0014594369567930698
Nearest Class Center Accuracy: 0.72525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21897685527801514
Linear Weight Rank: 179
Intra Cos: 0.05076560378074646
Inter Cos: 0.019254380837082863
Norm Quadratic Average: 1.7056874639820307e-05
Nearest Class Center Accuracy: 0.67125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.2194281369447708
Linear Weight Rank: 180
Intra Cos: 0.046682827174663544
Inter Cos: 0.01528669148683548
Norm Quadratic Average: 1.9468555478852068e-07
Nearest Class Center Accuracy: 0.6265

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.031471289694309235
Linear Weight Rank: 4
Intra Cos: 0.9007747769355774
Inter Cos: 0.899095356464386
Norm Quadratic Average: 6.496790661003615e-09
Nearest Class Center Accuracy: 0.4405

Output Layer:
Intra Cos: 0.999999463558197
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 5.937135583167219e-08
Nearest Class Center Accuracy: 0.238375

Test Set:
Average Loss: 1.3868336410522462
Accuracy: 0.257
NC1 Within Class Collapse: 1.9573488235473633
NC2 Equinorm: Features: 0.11445387452840805, Weights: 0.02020595595240593
NC2 Equiangle: Features: 0.26790759960810345, Weights: 0.2847881317138672
NC3 Self-Duality: 1.9845807552337646
NC4 NCC Mismatch: 0.7585

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.22133716940879822
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.22018684446811676
Linear Weight Rank: 179
Intra Cos: 0.05198236182332039
Inter Cos: 0.0028261251281946898
Norm Quadratic Average: 0.13093313574790955
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21970993280410767
Linear Weight Rank: 179
Intra Cos: 0.05640401691198349
Inter Cos: 0.004476680886000395
Norm Quadratic Average: 0.0014558765105903149
Nearest Class Center Accuracy: 0.736

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.21897685527801514
Linear Weight Rank: 179
Intra Cos: 0.048487819731235504
Inter Cos: 0.01019026804715395
Norm Quadratic Average: 1.700973189144861e-05
Nearest Class Center Accuracy: 0.6865

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.2194281369447708
Linear Weight Rank: 180
Intra Cos: 0.04342174157500267
Inter Cos: 0.005725692957639694
Norm Quadratic Average: 1.937122675599312e-07
Nearest Class Center Accuracy: 0.623

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.031471289694309235
Linear Weight Rank: 4
Intra Cos: 0.46830660104751587
Inter Cos: 0.4584554433822632
Norm Quadratic Average: 2.795097930885504e-09
Nearest Class Center Accuracy: 0.559

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 4.899854744166987e-08
Nearest Class Center Accuracy: 0.257

