Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.850465774536133
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.867891788482666
Linear Weight Rank: 179
Intra Cos: 0.014193668961524963
Inter Cos: 0.00659870496019721
Norm Quadratic Average: 4.687768936157227
Nearest Class Center Accuracy: 0.453125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887064456939697
Linear Weight Rank: 179
Intra Cos: 0.03428499028086662
Inter Cos: 0.025783400982618332
Norm Quadratic Average: 2.013011932373047
Nearest Class Center Accuracy: 0.461

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8340983390808105
Linear Weight Rank: 179
Intra Cos: 0.06349092721939087
Inter Cos: 0.07294570654630661
Norm Quadratic Average: 1.1926935911178589
Nearest Class Center Accuracy: 0.4535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.850425720214844
Linear Weight Rank: 179
Intra Cos: 0.08075165003538132
Inter Cos: 0.1252787858247757
Norm Quadratic Average: 0.9427146315574646
Nearest Class Center Accuracy: 0.440625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6294705867767334
Linear Weight Rank: 4
Intra Cos: 0.08998870849609375
Inter Cos: 0.16108395159244537
Norm Quadratic Average: 0.9025512337684631
Nearest Class Center Accuracy: 0.41975

Output Layer:
Intra Cos: 0.08270490169525146
Inter Cos: 0.182898610830307
Norm Quadratic Average: 0.9604549407958984
Nearest Class Center Accuracy: 0.374625

Test Set:
Average Loss: 1.260799160003662
Accuracy: 0.4085
NC1 Within Class Collapse: 34.818885803222656
NC2 Equinorm: Features: 0.2739231586456299, Weights: 0.08275264501571655
NC2 Equiangle: Features: 0.8412628173828125, Weights: 0.24713456630706787
NC3 Self-Duality: 0.546886682510376
NC4 NCC Mismatch: 0.3095

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.850465774536133
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.867891788482666
Linear Weight Rank: 179
Intra Cos: 0.015797577798366547
Inter Cos: 0.006696199998259544
Norm Quadratic Average: 4.672208786010742
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887064456939697
Linear Weight Rank: 179
Intra Cos: 0.033152177929878235
Inter Cos: 0.02483963780105114
Norm Quadratic Average: 2.0067877769470215
Nearest Class Center Accuracy: 0.461

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8340983390808105
Linear Weight Rank: 179
Intra Cos: 0.0583491250872612
Inter Cos: 0.06917300075292587
Norm Quadratic Average: 1.1884969472885132
Nearest Class Center Accuracy: 0.4495

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.850425720214844
Linear Weight Rank: 179
Intra Cos: 0.06737611442804337
Inter Cos: 0.11683215945959091
Norm Quadratic Average: 0.9389100074768066
Nearest Class Center Accuracy: 0.4365

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6294705867767334
Linear Weight Rank: 4
Intra Cos: 0.06806209683418274
Inter Cos: 0.14671410620212555
Norm Quadratic Average: 0.8994905352592468
Nearest Class Center Accuracy: 0.412

Output Layer:
Intra Cos: 0.048358265310525894
Inter Cos: 0.1592060774564743
Norm Quadratic Average: 0.9578425288200378
Nearest Class Center Accuracy: 0.3895

