Genome = [[[[10.0, 0.0], [7.0, 1.0]], [[1.6001598615658965, 1.0], [9.0, 0.0]], [[8.0, 1.0], [1.0, 0.0]], [[1.2769580427444838, 1.0], [1.0, 0.0]], [[11.0, 3.0], [2.0, 0.0]]], [[[0.0, 0.0], [0.0, 0.0]], [[8.0, 2.0], [6.0, 2.0]], [[5.0, 1.0], [8.0, 1.2817681835402377]], [[5.0, 0.0], [5.0, 1.0]], [[4.0, 1.0], [0.0, 1.0]]]]
Genotype = Genotype(normal=[('leaky_relu', 0), ('skip_connect', 1), ('linear_32', 1), ('relu', 0), ('batch_norm', 1), ('linear_32', 0), ('linear_32', 1), ('linear_32', 0), ('selu', 3), ('linear_64', 0)], normal_concat=[2, 4, 5, 6], reduce=[('none', 0), ('none', 0), ('batch_norm', 2), ('dropout_05', 2), ('dropout_02', 1), ('batch_norm', 1), ('dropout_02', 0), ('dropout_02', 1), ('linear_C', 1), ('none', 1)], reduce_concat=[3, 4, 5, 6])
param size = 1.05091MB
total params = 275489
flops = 0.2759M
valid_acc = 99.24

==================================================
Model Configuration
==================================================
search_space = micro
model_config_id = mlp_small
task_type = regression
input_dim = 3
output_dim = 1
C (channels) = 32
layers = 4
epochs = 20

==================================================
Training Progress
==================================================
Epoch   1 | Train Loss: 0.266766 | Val Loss: 0.016689 | LR: 0.000994
Epoch   2 | Train Loss: 0.056071 | Val Loss: 0.010597 | LR: 0.000976
Epoch   3 | Train Loss: 0.033695 | Val Loss: 0.032297 | LR: 0.000946
Epoch   4 | Train Loss: 0.030029 | Val Loss: 0.007909 | LR: 0.000905
Epoch   5 | Train Loss: 0.025750 | Val Loss: 0.016346 | LR: 0.000854
Epoch   6 | Train Loss: 0.031794 | Val Loss: 0.009567 | LR: 0.000794
Epoch   7 | Train Loss: 0.022564 | Val Loss: 0.012400 | LR: 0.000727
Epoch   8 | Train Loss: 0.021355 | Val Loss: 0.009485 | LR: 0.000655
Epoch   9 | Train Loss: 0.020480 | Val Loss: 0.010976 | LR: 0.000578
Epoch  10 | Train Loss: 0.017220 | Val Loss: 0.008635 | LR: 0.000500
Epoch  11 | Train Loss: 0.016959 | Val Loss: 0.009095 | LR: 0.000422
Epoch  12 | Train Loss: 0.017126 | Val Loss: 0.008314 | LR: 0.000345
Epoch  13 | Train Loss: 0.014732 | Val Loss: 0.007989 | LR: 0.000273
Epoch  14 | Train Loss: 0.015176 | Val Loss: 0.008021 | LR: 0.000206
Epoch  15 | Train Loss: 0.014941 | Val Loss: 0.007402 | LR: 0.000146
Epoch  16 | Train Loss: 0.015247 | Val Loss: 0.006886 | LR: 0.000095
Epoch  17 | Train Loss: 0.013866 | Val Loss: 0.007269 | LR: 0.000054
Epoch  18 | Train Loss: 0.014105 | Val Loss: 0.006831 | LR: 0.000024
Epoch  19 | Train Loss: 0.013476 | Val Loss: 0.006740 | LR: 0.000006
Epoch  20 | Train Loss: 0.013559 | Val Loss: 0.006756 | LR: 0.000000

Final val_loss = 0.006740
