seed = 9
batch_size = 256
patience = 16
n_epochs = -1
gradient_clipping_norm = 1.0
amp = true

[data]
cache = true
path = "data/california"
num_policy = "noisy-quantile"

[optimizer]
type = "AdamW"
lr = 0.000872489003621806
weight_decay = 0.03777165108799435

[model]
arch_type = "tabm"
k = 32
share_training_batches = false

[model.backbone]
type = "MLP"
n_blocks = 3
d_block = 400
dropout = 0.20769705860329654
