Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.169445514678955
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1286838054656982
Linear Weight Rank: 179
Intra Cos: 0.028840305283665657
Inter Cos: -0.0038731666281819344
Norm Quadratic Average: 1.8591967821121216
Nearest Class Center Accuracy: 0.57725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1217033863067627
Linear Weight Rank: 179
Intra Cos: 0.03154970705509186
Inter Cos: -0.001944146235473454
Norm Quadratic Average: 0.28481119871139526
Nearest Class Center Accuracy: 0.539875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1313652992248535
Linear Weight Rank: 180
Intra Cos: 0.04157005250453949
Inter Cos: 0.007748511619865894
Norm Quadratic Average: 0.045692335814237595
Nearest Class Center Accuracy: 0.531875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120378255844116
Linear Weight Rank: 180
Intra Cos: 0.057398952543735504
Inter Cos: 0.014618066139519215
Norm Quadratic Average: 0.007824195548892021
Nearest Class Center Accuracy: 0.519125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.46981507539749146
Linear Weight Rank: 4
Intra Cos: 0.07190187275409698
Inter Cos: 0.035278018563985825
Norm Quadratic Average: 0.0014109183102846146
Nearest Class Center Accuracy: 0.50825

Output Layer:
Intra Cos: 0.12600548565387726
Inter Cos: 0.08066806942224503
Norm Quadratic Average: 0.00014615165127906948
Nearest Class Center Accuracy: 0.477125

Test Set:
Average Loss: 1.386317096710205
Accuracy: 0.255
NC1 Within Class Collapse: 16.483762741088867
NC2 Equinorm: Features: 0.15650886297225952, Weights: 0.047025471925735474
NC2 Equiangle: Features: 0.4756215413411458, Weights: 0.2616238196690877
NC3 Self-Duality: 1.110851764678955
NC4 NCC Mismatch: 0.6995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.169445514678955
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1286838054656982
Linear Weight Rank: 179
Intra Cos: 0.0260948333889246
Inter Cos: -0.0036074097733944654
Norm Quadratic Average: 1.861843228340149
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1217033863067627
Linear Weight Rank: 179
Intra Cos: 0.028087349608540535
Inter Cos: -0.001737811486236751
Norm Quadratic Average: 0.2849615514278412
Nearest Class Center Accuracy: 0.5445

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1313652992248535
Linear Weight Rank: 180
Intra Cos: 0.033931005746126175
Inter Cos: 0.00665065785869956
Norm Quadratic Average: 0.045594144612550735
Nearest Class Center Accuracy: 0.535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120378255844116
Linear Weight Rank: 180
Intra Cos: 0.04637259989976883
Inter Cos: 0.013023518025875092
Norm Quadratic Average: 0.0077905962243676186
Nearest Class Center Accuracy: 0.5205

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.46981507539749146
Linear Weight Rank: 4
Intra Cos: 0.05458972603082657
Inter Cos: 0.03176999092102051
Norm Quadratic Average: 0.00140558579005301
Nearest Class Center Accuracy: 0.501

Output Layer:
Intra Cos: 0.1039719507098198
Inter Cos: 0.07971429079771042
Norm Quadratic Average: 0.00014403443492483348
Nearest Class Center Accuracy: 0.4575

