Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.104887962341309
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: 8.082412719726562
Linear Weight Rank: 180
Intra Cos: 0.02891610562801361
Inter Cos: -0.004905399400740862
Norm Quadratic Average: 13.827472686767578
Nearest Class Center Accuracy: 0.589875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.023935317993164
Linear Weight Rank: 179
Intra Cos: 0.029355671256780624
Inter Cos: -0.005939196795225143
Norm Quadratic Average: 13.79075813293457
Nearest Class Center Accuracy: 0.632375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.015617370605469
Linear Weight Rank: 180
Intra Cos: 0.0347057580947876
Inter Cos: -0.009724377654492855
Norm Quadratic Average: 13.759472846984863
Nearest Class Center Accuracy: 0.730125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.968087196350098
Linear Weight Rank: 179
Intra Cos: 0.06482955813407898
Inter Cos: -0.018635442480444908
Norm Quadratic Average: 13.72650146484375
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8219826221466064
Linear Weight Rank: 4
Intra Cos: 0.2004903256893158
Inter Cos: -0.05504937097430229
Norm Quadratic Average: 13.979126930236816
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8510873317718506
Inter Cos: -0.17497211694717407
Norm Quadratic Average: 11.159911155700684
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1046343727111816
Accuracy: 0.723
NC1 Within Class Collapse: 3.918084144592285
NC2 Equinorm: Features: 0.07417963445186615, Weights: 0.043764740228652954
NC2 Equiangle: Features: 0.08137484391530354, Weights: 0.047189886371294655
NC3 Self-Duality: 0.18548816442489624
NC4 NCC Mismatch: 0.044499999999999984

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.104887962341309
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: 8.082412719726562
Linear Weight Rank: 180
Intra Cos: 0.02638208121061325
Inter Cos: -0.004685984458774328
Norm Quadratic Average: 13.841887474060059
Nearest Class Center Accuracy: 0.594

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.023935317993164
Linear Weight Rank: 179
Intra Cos: 0.025528481230139732
Inter Cos: -0.005366446450352669
Norm Quadratic Average: 13.793869018554688
Nearest Class Center Accuracy: 0.626

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.015617370605469
Linear Weight Rank: 180
Intra Cos: 0.025942819193005562
Inter Cos: -0.006095333490520716
Norm Quadratic Average: 13.738814353942871
Nearest Class Center Accuracy: 0.661

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.968087196350098
Linear Weight Rank: 179
Intra Cos: 0.037589382380247116
Inter Cos: -0.007345051039010286
Norm Quadratic Average: 13.65990924835205
Nearest Class Center Accuracy: 0.6955

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8219826221466064
Linear Weight Rank: 4
Intra Cos: 0.08924724161624908
Inter Cos: -0.01762399636209011
Norm Quadratic Average: 13.644906044006348
Nearest Class Center Accuracy: 0.733

Output Layer:
Intra Cos: 0.3866014778614044
Inter Cos: -0.07774106413125992
Norm Quadratic Average: 10.2680025100708
Nearest Class Center Accuracy: 0.7265

