Sonja Topf
big refactoring
e517ec0
config-path = train\config.toml
data-path = tox21_data\combined_with_testset.csv
output-dir = train
target-columns = [NR-AhR, NR-AR, NR-AR-LBD, NR-Aromatase, NR-ER, NR-ER-LBD, NR-PPAR-gamma, SR-ARE, SR-ATAD5, SR-HSE, SR-MMP, SR-p53]
splits-column = split
task-type = classification
patience = 8
depth = 3
dropout = 0.3
ffn-hidden-dim = 400
ffn-num-layers = 2
message-hidden-dim = 400
batch-size = 32
epochs = 50
init-lr = 0.0007
max-lr = 0.0015
final-lr = 0.01
aggregation = mean
num-workers = 0
accelerator = auto
devices = auto
rxn-mode = REAC_DIFF
multi-hot-atom-featurizer-mode = V2
frzn-ffn-layers = 0
ensemble-size = 1
aggregation-norm = 100
activation = RELU
multiclass-num-classes = 3
atom-ffn-hidden-dim = 300
atom-ffn-num-layers = 1
atom-multiclass-num-classes = 3
bond-ffn-hidden-dim = 300
bond-ffn-num-layers = 1
bond-multiclass-num-classes = 3
atom-constrainer-ffn-hidden-dim = 300
atom-constrainer-ffn-num-layers = 1
bond-constrainer-ffn-hidden-dim = 300
bond-constrainer-ffn-num-layers = 1
v-kl = 0.0
eps = 1e-08
alpha = 0.1
tracking-metric = val_loss
warmup-epochs = 2
split = RANDOM
split-sizes = [0.8, 0.1, 0.1]
split-key-molecule = 0
num-replicates = 1
data-seed = 0