Protein Engineering

ube4b · Fully connected

reference_ube4b_fc_plm_randomf4_20261105-041921

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10tie_share_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50tie_share_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100tie_share_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pcttie_share_at_1pctcaptured_at_1pct
train2.00950.68610.64940.470712414.00000.45762.00001.00006.23829.18450.10000.00000.84021.00005.26089.18450.26000.00000.83721.00005.05649.18450.41000.00000.86660.99323.99299.18450.57290.00000.8955
validation2.12790.65680.61980.43084174.00000.415331.00001.00005.02717.82590.20000.00000.76221.00004.87518.62460.38000.00000.87171.00004.42258.62460.47000.00000.88330.98983.86528.62460.58880.00000.8754
test2.14120.66610.62960.44314163.00000.4566110.00001.00005.45047.74370.20000.00000.82401.00004.54317.74370.34000.00000.82981.00004.35557.74370.45000.00000.86980.98483.82769.15370.53300.00000.8642

Loss per epoch

training validation

Config

name: reference_ube4b_fc_plm_randomf4
task: dms
data:
  dataset: ube4b
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 4
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