Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_randomf0_20261104-174527

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
train0.19700.98090.98020.962056570.00000.87151461.00001.00001.71732.09420.10000.00000.90561.00001.63132.09420.06000.00000.92301.00001.63412.11100.24000.00000.94291.00001.30752.28590.81280.00000.9888
validation0.21480.97920.97810.958818879.00000.867447.00001.00001.69771.92400.00000.00000.90571.00001.68952.52950.38000.00000.96061.00001.64892.52950.55000.00000.97280.99911.31212.52950.80130.00000.9873
test0.21360.97930.97830.958918587.00000.8622513.00001.00001.70181.99510.10000.00000.92311.00001.64661.99510.32000.00000.95341.00001.61432.09750.47000.00000.96621.00001.29102.45390.78920.00000.9858

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_randomf0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 0
model:
  name: fcn
  hidden:
  - 1000
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7