Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.340059280395508
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.240791320800781
Linear Weight Rank: 180
Intra Cos: 0.013481657952070236
Inter Cos: 0.003447354771196842
Norm Quadratic Average: 4.905141830444336
Nearest Class Center Accuracy: 0.458625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.224234580993652
Linear Weight Rank: 179
Intra Cos: 0.031098242849111557
Inter Cos: 0.008537137880921364
Norm Quadratic Average: 2.2951526641845703
Nearest Class Center Accuracy: 0.4755

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.253315925598145
Linear Weight Rank: 180
Intra Cos: 0.07101773470640182
Inter Cos: 0.024621382355690002
Norm Quadratic Average: 1.4667611122131348
Nearest Class Center Accuracy: 0.487375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.233391761779785
Linear Weight Rank: 179
Intra Cos: 0.11187031120061874
Inter Cos: 0.04549211636185646
Norm Quadratic Average: 1.2430777549743652
Nearest Class Center Accuracy: 0.489125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8872870206832886
Linear Weight Rank: 4
Intra Cos: 0.13774952292442322
Inter Cos: 0.08413334935903549
Norm Quadratic Average: 1.2233715057373047
Nearest Class Center Accuracy: 0.480625

Output Layer:
Intra Cos: 0.15181668102741241
Inter Cos: 0.13089710474014282
Norm Quadratic Average: 1.2846128940582275
Nearest Class Center Accuracy: 0.4665

Test Set:
Average Loss: 1.195159553527832
Accuracy: 0.4795
NC1 Within Class Collapse: 25.99431800842285
NC2 Equinorm: Features: 0.13374458253383636, Weights: 0.03294922038912773
NC2 Equiangle: Features: 0.5999697844187418, Weights: 0.22321289777755737
NC3 Self-Duality: 0.3994962275028229
NC4 NCC Mismatch: 0.13749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.340059280395508
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
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: 8.240791320800781
Linear Weight Rank: 180
Intra Cos: 0.014621185138821602
Inter Cos: 0.004043698310852051
Norm Quadratic Average: 4.898259162902832
Nearest Class Center Accuracy: 0.472

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.224234580993652
Linear Weight Rank: 179
Intra Cos: 0.031580936163663864
Inter Cos: 0.009514487348496914
Norm Quadratic Average: 2.284280300140381
Nearest Class Center Accuracy: 0.4805

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.253315925598145
Linear Weight Rank: 180
Intra Cos: 0.07080718129873276
Inter Cos: 0.027300551533699036
Norm Quadratic Average: 1.452046275138855
Nearest Class Center Accuracy: 0.4885

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.233391761779785
Linear Weight Rank: 179
Intra Cos: 0.10352777689695358
Inter Cos: 0.04529771953821182
Norm Quadratic Average: 1.2274507284164429
Nearest Class Center Accuracy: 0.492

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8872870206832886
Linear Weight Rank: 4
Intra Cos: 0.11769192665815353
Inter Cos: 0.07495938241481781
Norm Quadratic Average: 1.2095096111297607
Nearest Class Center Accuracy: 0.4745

Output Layer:
Intra Cos: 0.12451086193323135
Inter Cos: 0.11178028583526611
Norm Quadratic Average: 1.2743340730667114
Nearest Class Center Accuracy: 0.4595

