modelCategory = NN
model_id = e2e_nn_macro_v2
modelName = mlp_small

==================================================
Architecture
==================================================
Genome = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]
Genotype = [[[0.0], [0.0, 0.0], [0.0, 0.0, 0.0], [0.0]], [[0.0], [0.0, 1.0], [1.0, 0.0, 0.0], [0.0]], [[0.0], [0.0, 0.0], [0.0, 1.0, 0.0], [0.0]]]
param size = 0.01785MB
total params = 4679
flops = 0.0048M
valid_acc = 85.85

==================================================
Model Configuration
==================================================
search_space = macro
model_config_id = mlp_small
task_type = classification
input_dim = 4
output_dim = 3
C (channels) = 32
layers = 4
channel_scheme = graduated
epochs = 10

==================================================
Training Progress
==================================================
Epoch   1 | Train Loss: 1.069914 | Val Loss: 1.092855 | LR: 0.009755
Epoch   2 | Train Loss: 0.699244 | Val Loss: 1.074973 | LR: 0.009045
Epoch   3 | Train Loss: 0.447811 | Val Loss: 0.984698 | LR: 0.007939
Epoch   4 | Train Loss: 0.448000 | Val Loss: 0.608196 | LR: 0.006545
Epoch   5 | Train Loss: 0.226890 | Val Loss: 0.295403 | LR: 0.005000
Epoch   6 | Train Loss: 0.223950 | Val Loss: 0.158524 | LR: 0.003455
Epoch   7 | Train Loss: 0.159242 | Val Loss: 0.149478 | LR: 0.002061
Epoch   8 | Train Loss: 0.146527 | Val Loss: 0.152878 | LR: 0.000955
Epoch   9 | Train Loss: 0.194758 | Val Loss: 0.152878 | LR: 0.000245
Epoch  10 | Train Loss: 0.187846 | Val Loss: 0.156036 | LR: 0.000000

Final val_loss = 0.149478

==================================================
Pareto Front (Search Results)
==================================================
selection_method = knee_point
total_architectures_evaluated = 95

Top architectures:
  1. acc=0.4779, params=0.0047 [SELECTED]
  2. acc=0.4784, params=0.0436
  3. acc=0.4782, params=0.0104
  4. acc=0.4781, params=0.0099
  5. acc=0.4763, params=0.0021
  6. acc=0.4749, params=0.0018
