Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_plm_randomf4_20261105-041258

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
train1.31350.59050.54270.33836204.00000.14066090.00000.70000.96972.08410.00000.00000.38250.70000.80132.14660.00000.00000.37740.71000.80882.45670.01000.00000.40160.71250.72992.45670.01870.00000.3894
validation1.45810.49640.43310.24572046.00000.03533089.00000.40000.21951.86900.00000.00000.17300.68000.60822.26100.04000.00000.34190.65000.54182.26100.04000.00000.34120.67920.60182.26100.03770.00000.3411
test1.43910.50050.44570.24892018.00000.058713.00000.40000.22532.31360.00000.00000.17600.54000.39163.11600.04000.00000.25860.59000.47573.11600.06000.00000.31070.56600.43243.11600.03770.00000.2746

Loss per epoch

training validation

Config

name: reference_bgl3_fc_plm_randomf4
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 4
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