Protein Engineering

ube4b · Fully connected

reference_ube4b_fc_modulof3_20261104-161621

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pctcaptured_at_1pct
train2.66850.58330.54870.32497842.00000.496384.00001.00004.99796.71530.10000.70290.98004.46488.62460.28000.74850.93003.73989.15370.30000.70160.93663.41939.15370.42940.7635
validation3.51640.02750.0103-0.0159318.00000.02881115.00000.2000-1.34640.55970.00000.00000.04590.1600-1.86922.04160.02000.0000-0.06360.1700-1.64752.93240.07000.0000-0.01190.1667-1.57672.04160.00000.00000.0057
test3.0590-0.0350-0.0202-0.0100418.00000.0651908.00000.0000-3.4047-0.48200.00000.0000-0.44930.2000-1.65774.11570.04000.0000-0.09900.2400-1.62434.11570.07000.0000-0.10450.0556-2.91210.16120.00000.0000-0.3718

Loss per epoch

training validation

Config

name: reference_ube4b_fc_modulof3
task: dms
data:
  dataset: ube4b
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 3
model:
  name: fcn
  hidden:
  - 100
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7