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_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1257574558258057
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
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: 3.13138747215271
Linear Weight Rank: 179
Intra Cos: 0.023800909519195557
Inter Cos: -0.0025014958810061216
Norm Quadratic Average: 1.858818531036377
Nearest Class Center Accuracy: 0.5685

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1388893127441406
Linear Weight Rank: 179
Intra Cos: 0.02124287374317646
Inter Cos: 2.1778556401841342e-05
Norm Quadratic Average: 0.25998470187187195
Nearest Class Center Accuracy: 0.546

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.116462230682373
Linear Weight Rank: 179
Intra Cos: 0.02489267848432064
Inter Cos: 0.0058198836632072926
Norm Quadratic Average: 0.03999019041657448
Nearest Class Center Accuracy: 0.505875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120206117630005
Linear Weight Rank: 180
Intra Cos: 0.037555091083049774
Inter Cos: 0.008508543483912945
Norm Quadratic Average: 0.006789224222302437
Nearest Class Center Accuracy: 0.504375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.46416452527046204
Linear Weight Rank: 4
Intra Cos: 0.04724239930510521
Inter Cos: 0.010011334903538227
Norm Quadratic Average: 0.0011424641124904156
Nearest Class Center Accuracy: 0.503875

Output Layer:
Intra Cos: 0.10554665327072144
Inter Cos: 0.025961952283978462
Norm Quadratic Average: 8.434617484454066e-05
Nearest Class Center Accuracy: 0.47975

Test Set:
Average Loss: 1.3863607025146485
Accuracy: 0.255
NC1 Within Class Collapse: 17.57320213317871
NC2 Equinorm: Features: 0.30595481395721436, Weights: 0.03190356492996216
NC2 Equiangle: Features: 0.2838174104690552, Weights: 0.30794012546539307
NC3 Self-Duality: 1.2511910200119019
NC4 NCC Mismatch: 0.7765

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1257574558258057
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 3.13138747215271
Linear Weight Rank: 179
Intra Cos: 0.0235191211104393
Inter Cos: -0.0015327442670240998
Norm Quadratic Average: 1.8638157844543457
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1388893127441406
Linear Weight Rank: 179
Intra Cos: 0.019948691129684448
Inter Cos: 0.0007488305564038455
Norm Quadratic Average: 0.260064035654068
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.116462230682373
Linear Weight Rank: 179
Intra Cos: 0.02325650118291378
Inter Cos: 0.007730670273303986
Norm Quadratic Average: 0.03997909650206566
Nearest Class Center Accuracy: 0.528

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.120206117630005
Linear Weight Rank: 180
Intra Cos: 0.03848888352513313
Inter Cos: 0.013842527754604816
Norm Quadratic Average: 0.0067777787335217
Nearest Class Center Accuracy: 0.5285

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.46416452527046204
Linear Weight Rank: 4
Intra Cos: 0.05003965273499489
Inter Cos: 0.01739715039730072
Norm Quadratic Average: 0.0011404462857171893
Nearest Class Center Accuracy: 0.524

Output Layer:
Intra Cos: 0.0875450149178505
Inter Cos: 0.04428957775235176
Norm Quadratic Average: 8.341098146047443e-05
Nearest Class Center Accuracy: 0.4775

