Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.914952278137207
Linear Weight Rank: 16
Intra Cos: 0.014583896845579147
Inter Cos: 0.00482985470443964
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.046761989593506
Linear Weight Rank: 180
Intra Cos: 0.012437033466994762
Inter Cos: 0.005487111397087574
Norm Quadratic Average: 10.096285820007324
Nearest Class Center Accuracy: 0.462625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.975942134857178
Linear Weight Rank: 179
Intra Cos: 0.011060969904065132
Inter Cos: 0.003926317673176527
Norm Quadratic Average: 10.071105003356934
Nearest Class Center Accuracy: 0.484875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.938290119171143
Linear Weight Rank: 180
Intra Cos: 0.01287547405809164
Inter Cos: -0.0005667684017680585
Norm Quadratic Average: 10.018453598022461
Nearest Class Center Accuracy: 0.564375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8474440574646
Linear Weight Rank: 179
Intra Cos: 0.03150678053498268
Inter Cos: -0.004771977197378874
Norm Quadratic Average: 10.011970520019531
Nearest Class Center Accuracy: 0.87375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.822108268737793
Linear Weight Rank: 4
Intra Cos: 0.199999138712883
Inter Cos: -0.041514571756124496
Norm Quadratic Average: 10.426131248474121
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8943689465522766
Inter Cos: -0.19060590863227844
Norm Quadratic Average: 8.06887149810791
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.9898638381958007
Accuracy: 0.511
NC1 Within Class Collapse: 13.436238288879395
NC2 Equinorm: Features: 0.06297612190246582, Weights: 0.0218009352684021
NC2 Equiangle: Features: 0.2520248095194499, Weights: 0.02921995023886363
NC3 Self-Duality: 0.22130459547042847
NC4 NCC Mismatch: 0.07799999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.914952278137207
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
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: 6.046761989593506
Linear Weight Rank: 180
Intra Cos: 0.012295183725655079
Inter Cos: 0.004872635938227177
Norm Quadratic Average: 10.05378246307373
Nearest Class Center Accuracy: 0.463

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.975942134857178
Linear Weight Rank: 179
Intra Cos: 0.011034664697945118
Inter Cos: 0.004333964083343744
Norm Quadratic Average: 10.01438045501709
Nearest Class Center Accuracy: 0.495

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.938290119171143
Linear Weight Rank: 180
Intra Cos: 0.0079775620251894
Inter Cos: 0.0011164445895701647
Norm Quadratic Average: 9.994340896606445
Nearest Class Center Accuracy: 0.5075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8474440574646
Linear Weight Rank: 179
Intra Cos: 0.008251666091382504
Inter Cos: 0.00022666706354357302
Norm Quadratic Average: 9.96284008026123
Nearest Class Center Accuracy: 0.5255

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.822108268737793
Linear Weight Rank: 4
Intra Cos: 0.025487739592790604
Inter Cos: 0.003660411573946476
Norm Quadratic Average: 9.871957778930664
Nearest Class Center Accuracy: 0.5165

Output Layer:
Intra Cos: 0.13529255986213684
Inter Cos: 0.023156626150012016
Norm Quadratic Average: 6.508997917175293
Nearest Class Center Accuracy: 0.5055

