Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_plm_randomf1_20261104-180313

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
train1.32570.56610.51370.31546174.00000.10814203.00000.90001.19733.11600.10000.00000.45400.92001.21233.11600.04000.00000.51200.85001.05783.11600.05000.00000.48730.83751.01883.11600.05630.00000.4920
validation1.49520.51510.45230.26392044.00000.05852280.00000.60000.11711.59450.00000.00000.15080.58000.33072.01740.00000.00000.24700.59000.36512.14660.03000.00000.27700.58490.33502.01740.00000.00000.2499
test1.42990.52190.44550.27142050.00000.02792260.00000.70000.56622.36370.00000.00000.27570.64000.53052.36370.04000.00000.31270.64000.48602.36370.02000.00000.32100.64150.54342.36370.03770.00000.3195

Loss per epoch

training validation

Config

name: reference_bgl3_fc_plm_randomf1
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 1
model:
  name: fcn
  hidden:
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7