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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.031732559204102
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: 8.053643226623535
Linear Weight Rank: 179
Intra Cos: 0.028101440519094467
Inter Cos: -0.004104952327907085
Norm Quadratic Average: 4.817831039428711
Nearest Class Center Accuracy: 0.58875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074372291564941
Linear Weight Rank: 179
Intra Cos: 0.06980859488248825
Inter Cos: -0.014607331715524197
Norm Quadratic Average: 2.395378828048706
Nearest Class Center Accuracy: 0.657375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027365684509277
Linear Weight Rank: 179
Intra Cos: 0.15624240040779114
Inter Cos: -0.016010023653507233
Norm Quadratic Average: 1.8206754922866821
Nearest Class Center Accuracy: 0.682625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048476219177246
Linear Weight Rank: 179
Intra Cos: 0.23129984736442566
Inter Cos: -0.00018998367886524647
Norm Quadratic Average: 1.9991859197616577
Nearest Class Center Accuracy: 0.69175

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4321718215942383
Linear Weight Rank: 4
Intra Cos: 0.2724362015724182
Inter Cos: 0.013612094335258007
Norm Quadratic Average: 2.4610042572021484
Nearest Class Center Accuracy: 0.690125

Output Layer:
Intra Cos: 0.307672381401062
Inter Cos: 0.033365119248628616
Norm Quadratic Average: 3.2630069255828857
Nearest Class Center Accuracy: 0.669375

Test Set:
Average Loss: 0.7748148307800293
Accuracy: 0.6715
NC1 Within Class Collapse: 7.069245338439941
NC2 Equinorm: Features: 0.15697364509105682, Weights: 0.0697091817855835
NC2 Equiangle: Features: 0.2958250045776367, Weights: 0.179866890112559
NC3 Self-Duality: 0.17770123481750488
NC4 NCC Mismatch: 0.09699999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.031732559204102
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: 8.053643226623535
Linear Weight Rank: 179
Intra Cos: 0.027785062789916992
Inter Cos: -0.0031664776615798473
Norm Quadratic Average: 4.828829288482666
Nearest Class Center Accuracy: 0.589

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.074372291564941
Linear Weight Rank: 179
Intra Cos: 0.06203319504857063
Inter Cos: -0.010742451064288616
Norm Quadratic Average: 2.3908803462982178
Nearest Class Center Accuracy: 0.6415

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027365684509277
Linear Weight Rank: 179
Intra Cos: 0.13465462625026703
Inter Cos: -0.020355572924017906
Norm Quadratic Average: 1.80320143699646
Nearest Class Center Accuracy: 0.6615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048476219177246
Linear Weight Rank: 179
Intra Cos: 0.19803625345230103
Inter Cos: -0.00707547040656209
Norm Quadratic Average: 1.973789095878601
Nearest Class Center Accuracy: 0.664

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4321718215942383
Linear Weight Rank: 4
Intra Cos: 0.23370642960071564
Inter Cos: 0.005879117641597986
Norm Quadratic Average: 2.4305195808410645
Nearest Class Center Accuracy: 0.664

Output Layer:
Intra Cos: 0.268101304769516
Inter Cos: 0.026262938976287842
Norm Quadratic Average: 3.224318742752075
Nearest Class Center Accuracy: 0.646

