Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4582563042640686
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3851665258407593
Linear Weight Rank: 171
Intra Cos: 0.2365933507680893
Inter Cos: 0.1566045582294464
Norm Quadratic Average: 0.3392244577407837
Nearest Class Center Accuracy: 0.7365

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3456433415412903
Linear Weight Rank: 171
Intra Cos: 0.6246318221092224
Inter Cos: 0.259819895029068
Norm Quadratic Average: 0.2860037088394165
Nearest Class Center Accuracy: 0.8995

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4203740954399109
Linear Weight Rank: 168
Intra Cos: 0.8798157572746277
Inter Cos: 0.045902498066425323
Norm Quadratic Average: 0.26710715889930725
Nearest Class Center Accuracy: 0.9955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6074231266975403
Linear Weight Rank: 163
Intra Cos: 0.9866712093353271
Inter Cos: -0.13311521708965302
Norm Quadratic Average: 0.4481700658798218
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.071697950363159
Linear Weight Rank: 3
Intra Cos: 0.9897869825363159
Inter Cos: -0.26049476861953735
Norm Quadratic Average: 1.9491609334945679
Nearest Class Center Accuracy: 0.99975

Output Layer:
Intra Cos: 0.989152729511261
Inter Cos: -0.22435519099235535
Norm Quadratic Average: 2.3410801887512207
Nearest Class Center Accuracy: 0.999875

Test Set:
Average Loss: 0.2070929365158081
Accuracy: 0.9915
NC1 Within Class Collapse: 0.06941436231136322
NC2 Equinorm: Features: 0.0034148739650845528, Weights: 0.02071261778473854
NC2 Equiangle: Features: 0.06206192076206207, Weights: 0.047865514953931175
NC3 Self-Duality: 0.0012856937246397138
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4582563042640686
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3851665258407593
Linear Weight Rank: 171
Intra Cos: 0.22638748586177826
Inter Cos: 0.13696441054344177
Norm Quadratic Average: 0.34050098061561584
Nearest Class Center Accuracy: 0.754

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.3456433415412903
Linear Weight Rank: 171
Intra Cos: 0.6070733070373535
Inter Cos: 0.2623848617076874
Norm Quadratic Average: 0.2869674563407898
Nearest Class Center Accuracy: 0.896

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4203740954399109
Linear Weight Rank: 168
Intra Cos: 0.8650654554367065
Inter Cos: 0.03813714534044266
Norm Quadratic Average: 0.2668818533420563
Nearest Class Center Accuracy: 0.986

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6074231266975403
Linear Weight Rank: 163
Intra Cos: 0.9672138690948486
Inter Cos: -0.12776173651218414
Norm Quadratic Average: 0.4465753436088562
Nearest Class Center Accuracy: 0.9925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.071697950363159
Linear Weight Rank: 3
Intra Cos: 0.9686721563339233
Inter Cos: -0.25461795926094055
Norm Quadratic Average: 1.9402213096618652
Nearest Class Center Accuracy: 0.992

Output Layer:
Intra Cos: 0.968167245388031
Inter Cos: -0.21982711553573608
Norm Quadratic Average: 2.328160524368286
Nearest Class Center Accuracy: 0.992

